Abstract
The paraventricular nucleus of the thalamus (PVT) projects to areas of the forebrain involved in regulating behavior. Homeostatic challenges and salient cues activate the PVT and evidence shows that the PVT regulates appetitive and aversive responses. The brainstem is a source of afferents to the PVT and the present study was done to determine if the lateral parabrachial nucleus (LPB) is a relay for inputs to the PVT. Retrograde tracing experiments with cholera toxin B (CTB) demonstrate that the LPB contains more PVT projecting neurons than other regions of the brainstem including the catecholamine cell groups. The hypothesis that the LPB is a relay for signals to the PVT was assessed using an intersectional monosynaptic rabies tracing approach. Sources of inputs to LPB included the reticular formation; periaqueductal gray (PAG); nucleus cuneiformis; and superior and inferior colliculi. Distinctive clusters of input cells to LPB-PVT projecting neurons were also found in the dorsolateral bed nucleus of the stria terminalis (BSTDL) and the lateral central nucleus of the amygdala (CeL). Anterograde viral tracing demonstrates that LPB-PVT neurons densely innervate all regions of the PVT in addition to providing collateral innervation to the preoptic area, lateral hypothalamus, zona incerta and PAG but not the BSTDL and CeL. The paper discusses the anatomical evidence that suggests that the PVT is part of a network of interconnected neurons involved in arousal, homeostasis, and the regulation of behavioral states with forebrain regions potentially providing descending modulation or gating of signals relayed from the LPB to the PVT.
Similar content being viewed by others
Avoid common mistakes on your manuscript.
Introduction
The paraventricular nucleus of the thalamus (PVT) is anatomically positioned within neural circuits that regulate behavior (Kirouac 2015) and accumulating evidence shows that this midline thalamic nucleus modulates a variety of appetitive and aversive responses (see recent reviews by Barson et al. 2020; McGinty and Otis 2020; Penzo and Gao 2021; Millan et al. 2017). The connections and mechanisms involved are generating considerable interest in this rather poorly understood component of the behavioral circuits. The PVT is composed of neurons that provide dense projections via highly collateralized axons to the shell of the nucleus accumbens (NAcSh), dorsolateral bed nucleus of the stria terminalis (BSTDL), lateral subregion of the central nucleus of the amygdala (CeL) (Moga et al. 1995; Li and Kirouac 2008; Parsons et al. 2007; Dong et al. 2017; Vertes and Hoover 2008; Li et al. 2021) through which the PVT has been shown to regulate different behaviors (Choi et al. 2019; Penzo et al. 2015; Padilla-Coreano et al. 2012; Do-Monte et al. 2017; Lafferty et al. 2020; Engelke et al. 2021; Dong et al. 2020; Pliota et al. 2018). Afferents from the prefrontal cortex, hypothalamus and the brainstem (Li and Kirouac 2012) are processed by PVT neurons that form a highly divergent efferent projection system to the forebrain (Li et al. 2021).
The PVT has been consistently identified as an area of the brain that becomes active during periods of behavioral arousal (Hsu et al. 2014; Kirouac 2015) and a number of studies have shown that the PVT modulates the hormonal and behavioral effects of both acute and chronic stress (Dong et al. 2020; Li et al. 2010; Pliota et al. 2018; Bhatnagar and Dallman 1998, 1999; Bhatnagar et al. 2003, 2002, 2000; Jaferi and Bhatnagar 2006; Jaferi et al. 2003; Heydendael et al. 2011). Homoeostatic challenges such as the physiological demands of thirst, hunger and disruptions in circadian rhythms also increase the activity of neurons in the PVT (Kirouac 2015; Colavito et al. 2015; Millan et al. 2017; Penzo and Gao 2021), suggesting that the PVT is activated by psychological and physiological stressors that have arousal effects on the CNS (reviewed in Hsu et al. 2014; Kirouac 2015). Accordingly, the PVT appears to be part of a neural network involved in coordinating a wide range of adaptive responses needed to maintain homeostasis (discussed in Li et al. 2021).
The source of brainstem afferents to the PVT has been the subject of a number of retrograde tracing studies. Early investigations with large injections of tracers in the PVT labeled neurons in a number of brainstem regions including the locus ceruleus (LC), nucleus of the solitary tract (NTS) and ventrolateral medulla (VLM) (Cornwall and Phillipson 1988; Chen and Su 1990). Studies with injection sites restricted to a single nucleus were generally in agreement that the PVT and other midline thalamic nuclei received afferents from a relatively small number of neurons in the LC, NTS and VLM (Krout et al. 2002, 2003; Krout and Loewy 2000a, b) some of which synthesize catecholamines (Phillipson and Bohn 1994; Otake and Ruggiero 1995; Otake et al. 1994). Brainstem catecholamine neurons regulate physiological and behavioral responses to homeostatic challenges via ramifying projections to many regions of the brain (Guyenet et al. 2013; Card et al. 2006; Rinaman 2011; Guyenet 2006; Dampney 1994; Aston-Jones and Cohen 2005). Recent papers have reported that catecholamine inputs to the PVT from the LC and VLM, respectively, modulate aversive stress and hypoglycemia-induced feeding responses (Beas et al. 2018; Sofia Beas et al. 2020). However, the existence of a functionally relevant catecholamine input to the PVT from the lower brainstem is not unequivocally supported by all anatomical studies. For instance, our group reported that injections of the retrograde tracer cholera toxin B (CTB) restricted to the PVT rarely produced labeling in the LC whereas the NTS and VLM contained only a few scattered neurons per brain section examined (Li and Kirouac 2012). In contrast, the parabrachial nucleus (PB) located around the superior cerebellar peduncle was consistently found to contain labeled neurons with the lateral aspect of this nucleus (LPB) containing more PVT projecting neurons than any other area of the brainstem (Li and Kirouac 2012; Kirouac et al. 2006; Li et al. 2014; Krout et al. 2002; Krout and Loewy 2000a). The PB is a multisensory integrating region primarily composed of glutamate neurons that have been shown to regulate a variety of behavioral responses associated with maintaining homeostasis including danger and distress (Chiang et al. 2019; Jaramillo et al. 2021; Palmiter 2018). For instance, the LPB is conceptualized as a major relay for viscerosensory and nociceptive signals to the forebrain and brainstem (Saper and Loewy 1980; Herbert et al. 1990; Moga et al. 1990; Palmiter 2018) where some of these projections have been shown to modulate arousal and behavioral responses to aversive conditions (Chiang et al. 2019; Jaramillo et al. 2021; Palmiter 2018). Afferent inputs to the LPB include catecholamine neurons in the NTS and VLM in addition to forebrain regions densely innervated by PB neurons (Tokita et al. 2009; Moga et al. 1990). Neurons in the PB project broadly to many areas of the forebrain and brainstem involved in maintaining homeostasis (Huang et al. 2021a; Saper and Loewy 1980).
These anatomical observations led us to question the potential importance of a direct projection to the PVT from catecholamine neurons in the lower brainstem and pointed to a more likely possibility that the LPB may serve as an integrating and relay center for afferents from catecholamine neurons to the PVT. To address these questions, we examined the distribution of labeled neurons in brainstem catecholamine cell groups following injections of CTB in anterior (aPVT) and posterior aspect of the PVT (pPVT). We also tested the hypothesis that the LPB is a relay center for brain inputs to the PVT by determining the source of input cells to LPB-PVT projecting neurons using a monosynaptic rabies tracing approach called tracing the input–output organization (TRIO) (Schwarz et al. 2015).
Methods
Animals
A total of 34 male Sprague–Dawley rats (University of Manitoba vivarium) were used to complete the experiments described in the paper. The rats weighed approximately 300 ± 10 g at the time of the injections and were housed on a 12:12 h light–dark cycle with food and water freely available. All experiments were carried out according to guidelines of the Canadian Council on Animal Care and approved by Research Ethics Review Board of the University of Manitoba.
Injections of CTB for retrograde tracing experiments
Rats were anesthetized with 2–3% isoflurane and given meloxicam (2 mg/kg, s.c.) for post-surgical pain management. The animals were placed in a Stoelting stereotaxic frame and a hand drill was used to expose the brain surface above the midline thalamus. Dual injections of CTB were made using glass pipettes (approximately 40 µm diameter) directed at the aPVT (1.8 mm posterior, 1.0 mm lateral, 5.4 mm ventral, 10° angle toward the center; all coordinates are relative to bregma and bone surface) and the pPVT (3.1 mm posterior, 1.0 mm lateral, 5.3 mm ventral, 10° angle toward the center) on the right side of the brain of the same animal. The CTB injected was conjugated to Alexa Fluor-488 (AF-488-CTB, C22841, Invitrogen, Carlsbad, CA, USA) or Alexa Fluor-594 (AF-594-CTB; C22842, Invitrogen) with one of these conjugates given in either the aPVT or pPVT of the same animal. The CTB solids were dissolved at a 0.5% concentration in 0.06 M neutral phosphate buffer and 250 nl of the solution was administered over a 15 min period using a pressure injection device (Picospritzer, Park Hannifin, Hollis, NH, USA). The scalp was sutured and rats returned to their home cages for approximate 10 days prior to being deeply anesthetized with 10% chloral hydrate (600 mg/kg, i.p.) and transcardially perfused with 150 ml heparinized saline followed by 400–500 ml ice-cold 4% paraformaldehyde in 0.1 M phosphate buffer (pH 7.4). The brains were removed and post-fixed in the same fixative overnight and cryoprotected in phosphate buffered saline (PBS) containing 20% sucrose and 10% glycerin at 4 °C for 48 h. Coronal sections of the brain were taken at 50 µm with a cryostat (UltroPro 5000) and stored in cryoprotectant before the immunoreactions. Finally, a few rats (n = 3) were perfused and brains post-fixed as above and sections of the thalamus were obtained to carry out immunoreactions against tyrosine hydroxylase (TH).
Injections of viral agents for TRIO experiments
Microinjections of viral preparations were done in two surgical procedures using similar methods as the CTB experiments (Fig. 1A). In the first procedure, rats received 350 nl injections of an adeno-associated virus (AAV) that expresses the Cre-recombinase transgene in the retrograde direction (AAVrg-Syn1-EBFP-Cre; 7.6 × 1012 copies/ml; #51,507-AAVrg, Addgene, Cambridge, MA, USA) in both the aPVT and pPVT using the following coordinates: aPVT (1.8 mm posterior, 1.0 mm lateral, 5.9 mm ventral, 10° angle toward the center) and the pPVT (3.1 mm posterior, 1.0 mm lateral, 5.8 mm ventral, 10° angle toward the center) in addition to a 500 nl injection of a Cre-dependent “helper AAV” (AAV2/1 hSyn-Flex-TVA-HA-G, 1.0 × 1011 copies/ml; NTNU Viral Vector Core, Kavli Institute, Norway) in the LPB according to the following coordinates: 7.5 mm posterior, 1.8 mm lateral, 7.0 mm ventral, 14° in the anterior to posterior direction. The helper AAV transduces the expression of TVA and a component of the rabies glycoprotein in LPB-PVT neurons that contain the Cre from injections of the AAVrg-EBFP-Cre in the PVT. The avian receptor TVA promotes infection with a rabies virus pseudotyped with the envelop protein from avian sarcoma leucosis virus type A (EnvA) and the glycoprotein (G) provides the G-deleted rabies virus the critical component for transsysnaptically infecting input cells (Lavin et al. 2019; Wickersham et al. 2007). After 2 weeks, an injection of 500 nl of G-deleted-SADB19G-EnvA-Rabies-mCherry (RVdG-mCherry, 1.0 × 1010 copies/ml; NTNU Viral Vector Core) was made in the LPB using the same coordinates as for the helper AAV. Control experiments were done by excluding either the AAVrg-EBFP-Cre injections in the PVT (n = 3) or the helper AAV injection in the LPB (n = 3) prior to the RVdG-mCherry injection in the LPB. Rats were perfused with fixative 7 days after the injection of the RVdG-mCherry and the brains collected for sectioning as described for the CTB experiments.
Injections of viral agents for intersectional anterograde tracing experiments
The approach involves transducing Cre-recombinase in a subpopulation of projection-specific neurons using an AAV that transports in the retrograde direction (AAVrg-EBFP-Cre) in combination with an AAV that transduces neurons and fibers in the anterograde direction (Fig. 1B). This results in the tracing of axonal fiber collaterals to different regions of the brain in addition to the area initially targeted by the AAVrg-EBFP-Cre (Li et al. 2021). Rats were prepared as described above and microinjections of solutions containing an AAVrg-Syn1-EBFP-Cre preparation (500 nl) were made in the right aPVT and pPVT of the same animal followed by a microinjection of an AAV9/Flex-GFP preparation (500 nl; 5.21 × 1013 GC/ml, Salk Institute Viral Vector Core, La Jolla, CA, USA) in the LPB on the same side of the brain. The coordinates for the aPVT, pPVT and LPB were the same as the TRIO experiments and animals were allowed a 4-week survival period before perfusion and the removal of the brain for sectioning.
Tissue preparation
Immunoreactions for tyrosine hydroxylase were done on brainstem sections collected from both the CTB and the TRIO experiments. Sections of the LPB region were immunoreacted for human hemagglutinin (HA) to visualize the neurons transduced by the helper virus in the TRIO experiments. Finally, every sixth section was reacted for neuronal nuclear protein (NeuN) in some cases for each group of experiments to help establish the neuronal labeling based on cytoarchitectural boundaries of nuclei. All reactions were done in free-floating sections at room temperature and involved placing sections in a blocking solution of PBS containing 5% donkey serum, 0.3% of Triton X-100, and 0.1% of sodium azide for 1 h prior to incubation in the antiserum. The primary and secondary antibodies were diluted in the blocking solution and sections were rinsed in PBS between each step. The immunoreactions were done as described below followed by a final set of rinses before mounting and placing a coverslip using Fluromount-G (Southern Biotech, Birmingham, AL, USA).
Tyrosine hydroxylase (TH)
Sections of the brainstem that contained CTB labeled neurons or mCherry neurons were incubated in a solution containing a mouse anti-TH monoclonal antibody (1:10,000; T-2928, Sigma-Aldrich, Oakville, ON, Canada) for 2 days. After several rinses, sections were transferred to a secondary antibody solution containing Alexa-Fluor Plus 647 (1:3000, A32787, Invitrogen) for CTB sections and Alexa-Fluor Plus 488 (1:3000, A32766, Invitrogen) for mCherry sections for 2 h. Sections of PVT were incubated in the same TH antibody solutions before transferred to a secondary Alexa-Fluor Plus 594 donkey anti-mouse antibody (1:3000; A32744, Invitrogen) for 2 h.
Human hemagglutinin (HA)
After one hour in the blocking solution, every sixth section of the LPB was incubated in a primary antibody solution containing rabbit anti HA-Tag (C29F4) monoclonal antibody (1:1000; 3724 s, Cell Signaling Technologies, Danvers, MA, USA) overnight followed by incubation in a solution containing a secondary Alexa-Fluor Plus 488 donkey anti-rabbit antibody (1:3000; A32790, Invitrogen) for 2 h.
Neuronal nuclear protein (NeuN)
Sections were incubated in a primary mouse anti-NeuN antibody (1:1000; MAB377, Chemicon, Temecula, CA, USA) overnight followed by incubation in a solution containing Alexa-Fluor Plus 488 donkey anti-mouse (1:3000) for 2 h.
Image and quantitative analysis
Images showing the distribution of neurons and fibers were produced from compiled stacks of frames captured using Zeiss Axio Observer Z1 microscope equipped with Axiocam 503 mono camera. The frames were taken with 10x objective lens with X and Y and Z stacks (2 µm increments) set to cover a region of interest. The exposure time was adjusted for each individual channel to optimize the images captured and kept consistent for each case in the different experiments. Images were processed using “Stitch” to fuse the X and Y tiles and then “Extended Depth of Focus” for the Z stacks (Zen Blue, Zeiss) to produce the tiled images. Mapping and quantification of labeled neurons in the various experiments were done using a standardized gamma setting for each color channel. The contrast of the composite images was adjusted in Adobe Photoshop to produce the final images for the figures. Cell counts and mapping of the labeled neurons were done according to methods described below.
Retrograde CTB tracing experiments
Single-labeled neurons were identified and marked on images viewed in Zen Blue with the appropriate color channel whereas multi-labeled neurons were identified in images with merged color channels. The soundness of single-cell multi-labeling was further evaluated by switching between color channels to confirm a clear overlap of signals within the same soma. Images with marked single- and multi-labeled neurons were imported to Adobe Illustrator CS4 and overlaid with an image file of the appropriate anatomical level of the brain from the digital atlas of the rat brain (Paxinos and Watson 2009). The boundaries of brain nuclei and fiber bundles from the atlas images were adjusted slightly to correspond to the microscopic image. The merged image was exported to Adobe Photoshop and the locations of the labeled neurons in the brain were generated by manually placing a distinctive symbol to indicate the location of a labeled neuron. The final image files of individual stereotaxic levels were used to generate the figures displaying labeled neurons on selected stereotaxic levels of the brain.
TRIO experiments
The number of starter cells near the superior cerebellar peduncle and input cells for the entire brain were quantified on coronal sections captured at 300 µm intervals. Starter cells were identified as neurons with unambiguous co-distribution of mCherry and HA within the same neuronal cell body using the same methods as the CTB experiments. The number of RVdG-mCherry input cells for the different regions of the brain was quantified for those regions that had 50 or more input cells over the series of sections. The mCherry labeled cells were marked using a circular symbol on the captured images in Photoshop and the number of marked cells was quantified using ImageJ (Fuji).
Intersectional anterograde tracing experiments
The number of GFP labeled neurons in the PB was quantified by counting the single-labeled GFP neurons from sections spanning the nucleus. The density and location of fiber labeling are described qualitatively and the figures showing the labeling were produced from images captured as described above.
Statistical analyses
The data for the CTB tracing experiments were analyzed using one-way ANOVA followed by Bonferroni multiple comparison tests using the statistical software OriginPro 8 (OriginLab Corporation, Northampton, MA, USA). An adjusted value of p < 0.05 was considered to be significant and the data are presented as mean ± SEM.
Results
CTB retrograde tracing
The aPVT and pPVT contain a weak plexus of TH fibers (Fig. 2A). Retrograde tracing experiments were done to further evaluate if catecholamine neurons in the lower brainstem are the source of these fibers. Four cases with combination injections of CTB restricted to the aPVT and pPVT were used to generate the figures and data analysis (Fig. 2B). Table 1 displays the results of the analysis of the number of CTB neurons in the lower brainstem. The LPB contained the largest number of neurons whereas the medial PB (MPB) contained fewer neurons (Figs. 3A, B; 4A, B). The catecholamine cell groups of the lower brainstem contained a relatively small number of retrograde labeled neurons (Figs. 3, 4). Table 2 displays the number of CTB labeled neurons that were TH positive indicating that catecholamine neurons represent a small proportion of all the neurons in the pons and medulla that project to the PVT. Indeed, a few neurons per section were observed in the catecholamine cell groups embedded in the VLM (Figs. 3E–G, 4C) and the NTS (Figs. 3E–G, 4D). The LC was devoid of double labeled neurons in all of the sections of the LC examined (Figs. 3A–C; 4A, B). However, these latter findings should be interpreted based on an understanding that the LC is a small compact nucleus composed of fewer neurons than the LPB. In summary, the CTB tracing results support our previous observations that brainstem neurons innervating the PVT originate primarily from the LPB and not from the LC, NTS, VLM (Li and Kirouac 2012; Kirouac et al. 2006).
Tyrosine hydroxylase (TH) fiber labeling in the PVT and the location of the CTB injections. a Immunofluorescence for TH is comparatively weaker in the aPVT (left) and pPVT (right). b Location of combination injections of AF-488-CTB (green) and AF-594-CTB (red) in the aPVT (upper row) and pPVT (lower row) in 4 cases (columns) used for the retrograde tracing analysis. See list for abbreviations. Numbers at the bottom represent distance from the bregma. Scale bars: 200 µm
Location of labeled cells in the lower brainstem following injections of CTB in the PVT. Single CTB labeled neurons from injections in the aPVT (green) and pPVT (red) and cells projecting to both the aPVT and pPVT (yellow) are shown along with the location of TH positive cells (blue) as well as cells labeled with both CTB from either the aPVT or pPVT and TH (black stars) for case SL20-09 plotted onto a series of drawings of a rat stereotaxic atlas (Paxinos and Watson 2009) extending from the pons to the caudal medulla (a–g). See list for abbreviations and the numbers at the bottom represent distance from the bregma
Images of CTB labeled neurons in the pons and medulla. Single CTB labeled neurons from injections in the aPVT (red) and pPVT (green) in addition to cells projecting to both the aPVT and pPVT (yellow-orange, arrow heads in a1 and b1) are visible for case SL20-08. Also visible are single-labeled TH positive cells (blue) and double labeled TH and CTB cells (cyan) as indicated by arrow heads in the numbered insets (c1 and d1). The images are arranged from anterior to posterior levels (a–d) with the numbers at the bottom representing distance from the bregma. See list for abbreviations. Scale bars: 200 µm for the images, 50 µm for the insets
TRIO experiments
Starter cells were identified by the presence of mCherry and HA in the same PB neuron (Fig. 5). The number of input cell per PB-PVT starter cell was quantified for the whole brain in three cases where the AAVrg-Cre injections were limited to the aPVT and pPVT based on the presence of the reporter EBFP (see intersectional anterograde tracing results for examples of EBFP expression at the PVT injection site). Starter cells were located primarily in the LPB (Figs. 5B, 6) in a pattern that is similar to what was observed in the CTB tracing experiments. A small number of starter cells were located in the MPB and anterodorsally in the transition area between the LPB and the nucleus cuneiformis. The number of starter cells was consistent for the 3 cases examined (totals of 221, 209, and 205 starter cells in the PB sections counted for the 3 cases).
Schematic of the TRIO approach (a) and resulting starter cells in PB neurons that project to the PVT (b). The presence of starter cells is indicated by small white arrowheads at low magnification (left side) and examples are shown at higher magnification (right side) in b. See list for abbreviations. Scale bars: 50 µm for the lower magnification images and 10 µm for the higher ones
Location of starter cells in the cases used for quantitative analysis of input cells to the LPB-PVT neurons. The location of the starter cells derived from each case (n = 3) is uniquely color-coded and is shown from anterior to posterior levels of the PB (a–f). See list for abbreviations. Numbers at the bottom represent distance from the bregma
Figure 7 shows the number of input cell per starter cell from regions of the brain that consistently contained input cells in the 3 cases quantified. Input cells were found bilaterally with the cells located on the same side of the injection being more numerous. There was a significant difference in the number of the input cells provided in the different regional groups quantified (F(20,42) = 10.63, p < 0.0001) with the reticular formation (RF) containing the largest number of input cells (Fig. 7). Input cells were broadly scattered in the RF of the midbrain (Figs. 8A–D; 9A–C), pons (Figs. 8E, F, 9D) and medulla (Figs. 8G, H; 9E, F). The lateral substantia nigra including its transition into the retrorubral field embeded in the midbrain RF was a consistent source of input cells (Figs. 8A–C; 9A, B). These input cells were not immunopositive for TH despite being intermixed with dopaminergic neurons (data not shown). Subregions of the periaqueductal gray (PAG) including the dorsal, lateral and ventrolateral regions were a regular source of input cells to LPB-PVT neurons (Figs. 8A–D; 9A–C). Both the superior and inferior colliculi of the tectum provided a substantial number of input cells (Figs. 8A–F; 9A–D). The nucleus cuneiformis (CnF) and various regions of the PB contained input cells that would appear to make short intra-nuclear axonal connections (Fig. 8E, F; 9C, D). Input cells were scattered in the NTS and VLM over a number of stereotaxic levels (Figs. 8G, H; 9E, F), most of which were immunonegative for TH (data not shown). A notable collection of input cells was observed in the anterior NTS and the adjacent parvocellular reticular nucleus in the medulla, a distinctive nucleus of the medullary RF (Figs. 8G; 9E).
Number of input cell per starter cell from different regions of the brain making synapses on LPB-PVT projecting neurons. The brain regions quantified are listed from anterior to posterior levels. See list for abbreviations. *significantly different from mRF, $significantly different from mdRF, #significantly different from SC; p < 0.05
Drawings showing the location of brainstem cells providing monosynaptic input to LPB-PVT neurons in one representative case (case with starter cells indicated as magenta colored symbols in Fig. 6). The locations of the input cells are shown from anterior to posterior levels of the brainstem (a–h). See list for abbreviations and numbers at the bottom represent distance from the bregma
Images of brainstem sections showing mCherry labeling from the TRIO approach applied to LPB-PVT neurons in the case shown in Fig. 8. The sections are shown from the anterior to posterior levels of the brainstem (a–f). See list for abbreviations and numbers at the bottom represent distance from the bregma. Scale bars: 500 µm
The forebrain provided fewer input cells to LPB-PVT neurons. However, in some instances, the input cells formed tight and distinctive clusters. Especially noteworthy were the clusters observed in the BSTDL (Figs. 10A, B; 11A), CeL (Figs. 10E, F; 11B), and parasubthalamic nucleus (Figs. 10G, H; 11C). Input cells were also found in the paraventricular nucleus of the hypothalamus (Fig. 10D), perifornical region of the lateral hypothalamus (Fig. 10E, F), and the interstitial nucleus of the posterior limb of the anterior commissure (Fig. 10D). Other regions of the forebrain only contained an occasional scattering of input cells and most regions including all of the cortex and striatum were entirely devoid of cells.
Images of the forebrain showing clusters of mCherry input cells making synapses on LPB-PVT projecting neurons. The sections are from the case shown in Fig. 10 and are arranged from the anterior to posterior most levels of the forebrain (a–c). See list for abbreviations and numbers at the bottom represent distance from the bregma. Scale bars: 250 µm
Control experiments
Starter cells for the experiments involving injections of AAVrg-EBFP-Cre in the CeL (n = 2, 302 and 331 starter cells) were located in the LPB and MPB following injections of the helper AAV and the RVdG in the LPB (Fig. 12A). There were more starter cells in the MPB associated with the CeL than with the PVT experiments. Input cells for PB-CeL experiments (Fig. 12B) were in similar brain regions as for the PB-PVT experiments. One notable exception was a larger number of input cells in the reticular portion of the substantia nigra in the PB-CeL cases (Fig. 12C), which was absent in the PB-PVT cases (Fig. 8A). Figure 13 shows the proportion of input cells from different regions of the brain associated with the PB-PVT and PB-CeL projecting neurons. Control experiments were done with injections of the helper AAV and RVdG in the PB of rats that had not received the AAVrg-EBFP-Cre in the PVT since there is always a possibility that RVdG is transduced in neurons that lack Cre (Gehrlach et al. 2020; Miyamichi et al. 2013). We confirmed a lack of mCherry and HA labeling in PB neurons and a total absence of mCherry labeling in the entire brain. Additional controls were done with AAVrg-EBFP-Cre in the PVT without helper AAV in the PB followed by RVdG which show the same results as the no-Cre controls. These observations indicate that mCherry cells observed in the cases analyzed are indeed input cells to PB-PVT or PB-CeL projecting neurons.
Input cells to the PB-CeL neurons. Image of the PB showing starter cells in one case (a) and the number of input cells per starter cells in the brain (b). Images of the brainstem showing mCherry input cells to PB-CeL projecting neurons arranged from the anterior to posterior most levels of the forebrain (c–f). See list for abbreviations and numbers at the bottom represent distance from the bregma. Scale bars: 100 µm for a, 500 µm for c–f
Intersectional anterograde tracing
Injections of the AAVrg-EBFP-Cre were confined mainly to the aPVT and pPVT as evidenced by the reporter protein EBFP being confined to PVT neurons (Fig. 14A, C). These injections along with injections of AAV9/Flex-GFP above the superior cerebellar peduncle at the pontine-midbrain transition resulted in GFP expressing neurons mostly in the LPB in a pattern similar to what was observed in the TRIO tracing experiment (Fig. 14E). Transduced GFP fibers partially overlapped with the expression of EBFP in both the aPVT and pPVT indicating a point to point projection from the LPB to the PVT (Fig. 14B, D). A dense plexus of GFP fibers containing enlargements was observed bilaterally in both the aPVT and pPVT (Fig. 14F–G1). Other midline and intralaminar thalamic nuclei contained few GFP fibers (not shown). It is clear from examining the whole brain that PB-PVT neurons have axons that are highly collateralized because a number of areas in addition to the PVT contained a moderately dense plexus of GFP fibers. Fiber labeling was generally more robust on the ipsilateral side although the PVT receive a dense bilateral innervation. Cortical areas including the prefrontal cortex were devoid of fibers whereas the lateral septal area and the diagonal band of broca contained mostly scattered fibers. There was a moderate density of GFP fibers in the median preoptic nucleus (Fig. 15A, A1) and anterior aspect of the lateral preoptic area (Fig. 15B, B1) whereas the medial preoptic area was sparsely labeled (Fig. 15B). Fibers were seen in the zona incerta where they merged with a moderately dense fiber plexus found in the paraventricular nucleus of the hypothalamus (Fig. 15C, C1). The dorsomedial nucleus of the hypothalamus and perifornical lateral hypothalamic area contained a moderately heavy density of fibers (Fig. 15D–E1). Labeled fibers were observed crossing in the retrochiasm with a few of these fibers showing enlargements but with the majority appearing as smooth fibers of passage (arrow, Fig. 15C–E). Some regions of the brain were expected to contain GFP fibers based on previous description of the projections pattern provided by LPB neurons (Huang et al. 2021a). For instance, the BSTDL and CeL were almost completely devoid of fiber labeling except for a few scattered fibers (Fig. 16A, B). Ascending fibers of passage were observed in the substantia nigra, ventral tegmental area, retrorubral field, and pontine tegmentum as they extended toward the forebrain. Fibers ascending to the thalamus could also be seen passing along the cerebral aqueduct and the third ventricle whereas fiber labeling in the remainder of the brainstem was sparse except for a few regions. The dorsal and ventral columns of the PAG contained a moderate amount of fibers as did the pontine tegmentum (Fig. 16C). The medulla was largely devoid of labeled fibers except for light labeling in the raphe nuclei above the pyramidal tract (data not shown).
Collateral projections of PB-PVT neurons as shown using the intersectional anterograde tracing approach. Distribution of EBFP (blue) in the aPVT (a) and pPVT (c) produced by injections of the AAVrg-EBFP-Cre in the PVT with resulting GFP (green) anterograde fiber labeling overlapping the EBFP (blue) for the aPVT (b) and pPVT (d). Neurons were transduced in most regions of the PB but were concentrated in the LPB (e) producing dense GFP fiber labeling in the aPVT (f) and pPVT (g). Images f1 and g1 are higher magnification of the square inset in f and g, respectively. See list for abbreviations and numbers at the bottom represent distance from the bregma. Scale bars: 200 µm for a–g, 20 µm for f1 and g1
Images of the forebrain containing moderately dense GFP fiber labeling produced by the intersectional anterograde tracing approach applied to the PB-PVT neurons. Images of the GFP labeling produced by the case shown in Fig. 14 from the anterior to posterior levels of the forebrain (a–e). Images on the right are higher magnification of the square inset shown on the left. See list for abbreviations and numbers at the bottom represent distance from the bregma. Scale bars: 200 µm for a–e, 20 µm for a1–e1
Images of brain regions lacking substantial GFP fiber labeling produced by the intersectional anterograde tracing approach applied to PB-PVT neurons. A relative lack of labeling was observed in the BSTDL (a), CeL (b) whereas the ventrolateral region of the PAG contained weak fiber labeling (c). See list for abbreviations and numbers at the bottom represent distance from the bregma. Scale bars: 200 µm
Discussion
The results of the CTB tracing experiments are in line with previous studies reporting that a relatively small number of catecholamine neurons project to the PVT (Cornwall and Phillipson 1988; Chen and Su 1990; Krout et al. 2002, 2003; Krout and Loewy 2000a, b; Li and Kirouac 2012; Phillipson and Bohn 1994; Otake et al. 1994). The large number of neurons in the LPB compared to the rest of the brainstem is also consistent with our quantitative analysis of retrograde labeling in the brain following injections of CTB restricted to the aPVT and pPVT (Li and Kirouac 2012). It is generally understood that the PB relays brainstem and spinal cord viscerosensory, somato-sensory and taste-related signals to widespread regions of the forebrain (Chiang et al. 2019; Palmiter 2018; Herbert et al. 1990; Saper and Loewy 1980) including the PVT (Li and Kirouac 2012; Krout and Loewy 2000a). Mapping of brain-wide sources of neurons that make synapses on PB-PVT projecting neurons in the TRIO experiments revealed that the largest source of input cells is from neurons that are scattered in the brainstem RF. Other prominent sources of input cells include the PAG in addition to the superior and inferior colliculi of the midbrain tectum. Another notable observation from the rabies TRIO experiments is that the BSTDL and CeL are distinctive sources of afferents to PB-PVT neurons. The intersectional anterograde tracing approach demonstrates that PB neurons that project to the PVT do not innervate the BSTDL and CeL but provide collateral innervation to a number of forebrain regions postulated to regulate wakefulness, behavior and regulation of homeostasis. As discussed below, these anatomical findings provide evidence that the PVT is part of an interconnected network of neurons dispersed in the brainstem and forebrain that may regulate arousal and behavioral states.
Lower brainstem inputs to the PVT
The PVT contains a relatively sparse plexus of small TH fibers (Takada et al. 1990; Otake and Ruggiero 1995) which has been shown to mostly originate from dopamine neurons in the hypothalamus and PAG (Li et al. 2014). The number and location of TH neurons in the lower brainstem that project to the aPVT and pPVT were assessed to further characterize the source of these fibers. A relatively small number of TH neurons confined to the C2/A2 cell group of the NTS and the C1/A1 cell group of the caudal VLM were found to project to the PVT as previously reported (Phillipson and Bohn 1994; Otake et al. 1994). The presence of TH indicates that these neurons produce either dopamine, norepinephrine or epinephrine depending on the presence of other rate-limiting enzymes (the nomenclature and function of the catecholamine cell groups are discussed in Bucci et al. 2017). Consistent with our previous retrograde tracing experiments (Li and Kirouac 2012; Li et al. 2014; Kirouac et al. 2006), there was a paucity of CTB cells in the LC even if a few LC-PVT projecting neurons has been reported by others (Krout et al. 2002; Otake and Ruggiero 1995). One likely explanation for this discrepancy may be that our approach of using fine glass pipettes to administer a small volume of CTB reduced the amount of the tracer picked up by damaged fibers coursing through the area. Viral transduction of LC neurons in dopamine β-hydroxylase-Cre mice provided evidence that the LC produces and releases dopamine in the PVT (Beas et al. 2018), but a functional LC projection to the PVT in the rat is difficult to envision considering that neuronal projections appear to be well conserved between rats and mice (Ellenbroek and Youn 2016).
The brainstem catecholamine cell groups and the nuclei with which they are associated are implicated in the viscerosensory reflexes and the execution of various behavioral and physiological responses to homeostatic challenges (Guyenet 2006; Guyenet et al. 2013; Ritter et al. 2006; Rinaman 2011). Consequently, it is possible that catecholamine signals may be integrated by the PVT to promote adaptive responses, as recently shown for hypoglycemia-induced food intake (Sofia Beas et al. 2020). However, the type of influence catecholamines have on PVT functions remains an open question for a number of reasons. First, catecholamine neurons that innervate the PVT are widely scattered in both the hypothalamus and brainstem and do not appear to form functionally distinct populations. Second, experimental evidence indicates that catecholamine neurons in the lower brainstem exert cellular effects predominately via conventional glutamatergic transmission (DePuy et al. 2013) and potentially the co-release of neuropeptides but not catecholamines (Guyenet et al. 2013). Third, the fact that brainstem catecholamine neurons form a meshwork of interconnected neurons that provide highly collateralized axons indicates that these neurons are likely to produce broad and diffused arousal effects on the brain including effect via extrasynaptic release and volume transmission (Aston-Jones and Cohen 2005; Bucci et al. 2017; Card et al. 2006; Guyenet et al. 2013; Patthy et al. 2021; Fuxe et al. 2010).
The PB is a multisensory relay center that is subdivided into medial and lateral regions that are further partitioned into cytoarchitecturally distinct subnulei (Chiang et al. 2019; Saper and Loewy 1980). It is clear from the present and our previous retrograde tracing experiments that the LPB is the area of the brainstem that contains the largest number of PVT projecting neurons (for quantitative analysis of the source of all brain inputs to the PVT, see Li and Kirouac 2012). We did not attempt to localize PB-PVT projecting neurons within subnuclear boundaries because of the difficulty of doing this with precision in thick sections stained with NeuN. Furthermore, dendrites of LPB neurons extend outside subnuclear boundaries making the relevance of these anatomical distinctions debatable (Sarhan et al. 2005; Jasmin et al. 1997). However, it is clear that CTB neurons were located in the general region of the LPB that contains the external, ventral and dorsal lateral subnuclei presumed to receive afferents from general viscerosensory integration regions of the NTS (Chiang et al. 2019; Saper and Loewy 1980; Herbert et al. 1990) and nociceptive signals from the brainstem and spinal cord (Chiang et al. 2019; Jaramillo et al. 2021; Han et al. 2015; Gauriau and Bernard 2002; Deng et al. 2020). Since most of the PVT projecting neurons were localized in the LPB, we will refer to PB neurons that project to the PVT as LPB-PVT projecting neurons for the remainder of the discussion with the caveat that some neurons in the MPB contribute to this projection.
Whole brain inputs to LPB-PVT projecting neurons
The NTS was expected to be the major source of input cells to LPB-PVT neurons because of the dense projection between the NTS and the LPB (Herbert et al. 1990; Moga et al. 1990; Tokita et al. 2009). Nevertheless, we observed a low number of labeled cells in the NTS compared to the large number of input cells scattered broadly throughout the brainstem RF. This highlights the clear advantage of the rabies monosynaptic approach over traditional tracing methods that simply assess area-to-area projections. This is especially critical for LPB neurons which have dendrites that extend hundreds of micrometers (Sarhan et al. 2005). It should be appreciated that the large number of input cells in the RF represent cells that are distributed over a large area of neural tissue. The brainstem RF is conceptualized as a loosely organized network of interconnected neurons that integrate polymodal inputs to coordinate many vital functions (Blessing 1997). The RF is also postulated to be part of the ascending reticular activating system involved in the maintenance of arousal and behavioral states (Blessing 1997; Moruzzi and Magoun 1949; Liu and Dan 2019; Jones 2020; Scammell et al. 2017). While some regions of the RF are regarded as distinct nuclei with sensory or motor functions (Blessing 1997; Jones 1995), these regions were devoid of clusters of input cells. In terms of the NTS, input cells were mostly concentrated in the anterior portion of the NTS that receives gustatory afferents from the tongue in addition to overlapping viscero- and somato-sensory afferents from the oral cavity (Herbert et al. 1990; Lundry and Norgren 2015; Blessing 1997). Nonetheless, it is difficult to know the types of signals relayed to LPB-PVT neurons simply based on their location in the NTS (Herbert et al. 1990; Lundry and Norgren 2015; Blessing 1997). One possibility is that LPB-PVT neurons receive integrated polymodal sensory information from the oral cavity. A primary gustatory function is unlikely since LPB-PVT neurons were found in the non-gustatory regions of the PB (Blessing 1997; Chiang et al. 2019; Herbert et al. 1990). The parvicellular reticular nucleus of the medulla located adjacent to the anterior most portion of the NTS contained a distinctive collection of input cells. The parvicellular reticular nucleus processes signals related to sensory and motor functions associated with oral movements (Travers et al. 2000; Zerari-Mailly et al. 2001; Moriyama 1987; Takatori et al. 1981; Shammah-Lagnado et al. 1992) pointing to the possibility that the LPB-PVT neurons may receive signals related to ingestion. The absence of input cells in the nociceptive superficial lamina of the spinal trigeminal nucleus suggests that LPB-PVT neurons may not directly receive nociceptive signals from the head, but the likelihood that these neurons receive nociceptive signals from the spinal cord cannot be excluded from our experiments.
Input cells were scattered across multiple stereotaxic levels in a number of midbrain regions. These included the PAG, involved in the regulation of emotional and nociceptive responses (George et al. 2019; Behbehani 1995); the superior and inferior colliculi, implicated in the modulation of movements and arousal to visual and auditory stimuli (Brandao et al. 1994, 2003; Schenberg et al. 2005; Isa et al. 2021; Mulckhuyse 2018; Basso and May 2017; Cabrera et al. 2013); and the nucleus cuneiformis, linked to the modulation of locomotion and nociception (Coles et al. 1989; Jordan et al. 2008; Ebrahimzadeh and Haghparast 2011; Haghparast et al. 2010; Sandner et al. 1993; Bernard et al. 1989).
Several areas of the forebrain linked to the regulation of homeostasis and modulation of behavioral states contained a small number of input cells. First, input cells were found scattered in the median preoptic nucleus and the lateral preoptic area where some neurons display enhanced activity during sleep (McKinley et al. 2015; Szymusiak et al. 2007; Scammell et al. 2017). Sleep stimulates GABAergic neurons in the preoptic area (Gong et al. 2004) that promote sleep states by inhibiting arousal centers in the hypothalamus and brainstem (Szymusiak et al. 2007; Scammell et al. 2017). In addition to the regulation of sleep, the median preoptic nucleus is connected with areas of the hypothalamus involved in regulating body fluids, sodium, and temperature (McKinley et al. 2015; Menani et al. 2014). Input cells were also consistently observed in the LH, a functionally complex region that is involved in behavioral and physiological responses associated with survival including the regulation of sleep, arousal, energy balance, reward, stress and defensive responses (Berthoud 2002; Castro et al. 2015; Arrigoni et al. 2019; Scammell et al. 2017; Alexandre et al. 2013; Bonnavion et al. 2016).
Input cells were found as distinct clusters in the BSTDL, CeL, IPAC and parasubthalamic nucleus. The BSTDL, CeL and IPAC form a macrostructure called the extended amygdala that plays a critical role in adaptive responding (de Olmos et al. 2004; Alheid 2003; Alheid et al. 1999). The parasubthalamic nucleus is interconnected with the BSTDL, CeL, IPAC and LPB; and may be part of a network of neurons involved in mediating integrated behavioral and physiological responses (Goto and Swanson 2004; Shah et al. 2021) as recently demonstrated for fear-induced hypothermia (Liu et al. 2021a). The parasubthalamic nucleus also projects to the pPVT (Goto and Swanson 2004) and regions of the prefrontal cortex that in turn innervate the pPVT and the extended amygdala (Li and Kirouac 2012). The BSTDL/CeL are best known for their role in regulating responses to threats (Lebow and Chen 2016; Gungor and Pare 2016; Duvarci and Pare 2014; Fox et al. 2015; Davis and Shi 1999), potentially in response to feedforward signals from the LPB about aversive conditions (Han et al. 2015; Phua et al. 2021; Cai et al. 2018; Jaramillo et al. 2020; Ito et al. 2021; Bowen et al. 2020; Chiang et al. 2020) and the PVT (Do-Monte et al. 2017, 2015; Penzo et al. 2015; Pliota et al. 2018). Subpopulations of GABA neurons in the BSTDL/CeL express unique neurochemical markers that differentially contribute to defensive responses through mechanisms and projections that are not completely understood (Gungor and Pare 2016; Duvarci and Pare 2014; Fadok et al. 2018; Li 2019). Regardless of neuropeptides associated with these neurons, they are likely to have inhibitory effects on LPB-PVT neurons because GABA is the primary neurotransmitter associated with these projection neurons (Moga and Gray 1985; Ye and Veinante 2019; Bartonjo and Lundy 2020). Although we did not identify the neuropeptide associated with the neurons in the BSTDL/CeL that synapse on LPB-PVT neurons, corticotropin-releasing factor, somatostatin, and neurotensin are potential candidates as these markers have been shown to be associated with some BSTDL/CeL GABAergic neurons that project to the LPB (Moga and Gray 1985; Ye and Veinante 2019; Bartonjo and Lundy 2020). Future investigation on the identity and activation conditions of BSTDL/CeL neurons that synapse on LPB-PVT neurons would yield critical information about how these long-range circuits function in the brain.
The lateral substantia nigra (SNL) is another brain region found to be a distinct source of input to LPB-PVT neurons. This group of cells is of special interest because it receives afferent input from the BSTDL/CeL (Steinberg et al. 2020; Gonzales and Chesselet 1990; Vankova et al. 1992; Liu et al. 2021b) and a projection from the CeL to the SNL has been shown to modulate both appetitive and aversive learning (Steinberg et al. 2020). Furthermore, the SNL and LPB are reciprocally connected (Tokita et al. 2009; Huang et al. 2021a; Vankova et al. 1992) forming potentially an interconnected network of neurons involving the PB, PVT, SNL and BSTDL/CeL. Likewise, the LPB may also indirectly send neural signals to the BSTDL/CeL via projections to the PVT and parasubthalamic nucleus (Li and Kirouac 2012; Huang et al. 2021a, 2021b) which in turn densely innervate the BSTDL/CeL (Li and Kirouac 2008; Goto and Swanson 2004) forming another interconnected network involving the LPB, PVT and the BSTDL/CeL.
The location and density of input cells observed in the TRIO experiments were generally consistent with what has been reported in rats and mice following injections of retrograde tracers involving much of the PB (Moga et al. 1990; Tokita et al. 2009; Herbert et al. 1990). However, there were notable exceptions including the absence of input cells from prefrontal cortical areas and medial region of the central nucleus of the amygdala. The large number of input cells in the CeL combined with the absence of such cells in the medial part of the central nucleus attests to the specificity of the synaptic connections associated with a CeL-PB-PVT circuit. However, it is possible that some input areas were not identified since monosynaptic transport of rabies has been shown to be ineffective for some projection systems (Beier 2019). It is clear that the BSTDL/CeL synaptic inputs to LPB neurons are not unique to neurons that project to the PVT since the TRIO approach applied to PB neurons that project to the CeL also resulted in distinctive clusters of input cells in the BSTDL/CeL. The sources of inputs to PB-PVT and PB-CeL neurons were similar except for the reticular portion of the substantia nigra that appeared to preferentially synapse on PB-CeL neurons. The reticular portion of the substantia nigra is a basal ganglia output nucleus involved in the regulation of motor and cognitive responses via thalamocortical feedback circuits (Shipp 2017; Alexander et al. 1990; Deniau et al. 2007). Input cells in the reticular substantia nigra that synapse on PB-CeL may represent a newly identified feedback circuit from the basal ganglia to the PB neurons that innervate the CeL and potentially the BSTDL.
Whole brain projections of LPB-PVT neurons
Anterograde tracing of the collateral innervation pattern of LPB-PVT neurons indicates that these neurons are largely specific to the PVT although retrograde tracing studies indicate that other midline thalamic nuclei receive input from the LPB (Krout et al. 2002; Krout and Loewy 2000a). The present paper and other recent evidence support the view that some neurons in the PB preferentially innervate unique thalamic nuclei (Deng et al. 2020; Huang et al. 2021a). Glutamatergic neurons in the LPB that co-express the neuropeptides corticotropin-releasing factor (CRF), substance P, cholecystokinin (CCK) and cocaine- and amphetamine-regulated transcript (CART) project to the PVT (Kirouac et al. 2006; Otake and Nakamura 1995; Otake 2005). Experimental approaches targeting marker-specific neurons have been used to identify subpopulations of function- and projection-specific neurons in the PB. There are a number of examples in which the evidence indicates that subpopulations of LPB neurons that express particular peptides may be differentially activated by particular homeostatic challenges including nociception, body temperature, taste stimuli, hypoxia and other life threatening states (see reviews Jaramillo et al. 2021; Chiang et al. 2019; Palmiter 2018). For example, neurons that express calcitonin gene-related peptide (CGRP) have been shown to be activated by most threats examined (Carter et al. 2013; Han et al. 2015; Palmiter 2018) and to project robustly to the BSTDL and CeL (Huang et al. 2021b). However, it is apparent from our anterograde tracing experiments that LPB neurons that innervate the PVT are different from the population that projects to the BSTDL/CeL. Neurons that express dynorphin have been shown to respond to changes in ambient temperatures and to have projection patterns different from the CGRP cells (Geerling et al. 2016; Huang et al. 2021a). Other research groups have shown that dynorphin neurons in the LPB respond to a variety of somato-sensory signals including nociception relayed from local CGRP neurons (Choi et al. 2020; Kim et al. 2020; Luskin et al. 2021; Chiang et al. 2020). Glucose-sensing PB neurons that express CCK were shown to project to the ventromedial nucleus of the hypothalamus but not the PVT (Garfield et al. 2014). No attempt was made here to identify the neuropeptide identity of LPB-PVT neurons because of the complexity in the number of neurons in the PB that express one or more peptides (Palmiter 2018; Chiang et al. 2019; Zhu et al. 2022). Regardless if LPB-PVT neurons have a specific neuropeptide genotype, PB neurons will likely exert excitatory effects on the PVT via the release of glutamate (Huang et al. 2021a; Geerling et al. 2017; Niu et al. 2010; Zhu et al. 2022). Nevertheless, application of single-cell sequencing to categorize unique genes highly expressed in LPB-PVT neurons will be helpful for examining the function of these neurons.
The collateral projections provided by LPB-PVT neurons hint at potential functions associated with these neurons. Areas receiving most significant collateral innervation included the preoptic area, zona incerta, LH, and dorsomedial nucleus of the hypothalamus (DMH). Many of these regions are associated with arousal and the regulation of behavioral states. The zona incerta is postulated to be part of a larger brain-wide interconnected network involved in modulation of arousal, attention, and movements including approach and avoidance to interoceptive and exteroceptive sensory information (Mitrofanis 2005). It is notable that the zona incerta is interconnected with many of the same midbrain regions (Kolmac et al. 1998) shown in the TRIO experiments to make synapses on LPB-PVT neurons. The paraventricular nucleus of the hypothalamus is a key nucleus involved in the regulation of the autonomic nervous system and the stress response (Dampney 1994; Myers et al. 2014). The DMH is linked to the modulation of circadian and biological rhythms in addition to contributing to the physiological and hormonal responses to threats (DiMicco et al. 2002; Fontes et al. 2011; Saper et al. 2005; Myers et al. 2014). As discussed above, the preoptic area and LH are brain regions that are broadly associated with arousal and the modulation of homeostasis and behavioral states. It is of potential significance that some forebrain regions that contain neurons that make monosynaptic connections with LPB-PVT neurons are the same regions that received significant collateral fiber innervation from LPB-PVT neurons (e.g., LH). While we demonstrate that neurons in the preoptic area and LH make synaptic connections with LPB-PVT neurons, we do not know if fibers from LPB-PVT neurons make synaptic connections with neurons in these reciprocally innervated regions. The fact that the median preoptic nucleus, DMH, and LH project to the PVT (Kirouac et al. 2005; Li and Kirouac 2012; Thompson et al. 1996; Goto and Swanson 2004) further highlighting the possibility that neurons in the PVT may be part of a larger network of neurons with broadly similar functions.
Functional considerations
This paper presents anatomical evidence that demonstrates that the LPB is the major source of lower brainstem afferents to the PVT. The LPB has received considerable interest for its role in regulating behavioral and physiological responses to exteroeceptive and interoceptive signal related to homeostatic challenges (Palmiter 2018; Jaramillo et al. 2021; Chiang et al. 2019). The fact that the LPB is considered a major integrating and relay center of spinal cord and brainstem sensory signals to forebrain led to the search for projection-specific neurons in the LPB that regulate responses to specific challenges. For instance, arousal from sleep during hypercapnia (high CO2) was shown to be mediated by CGRP neurons that act on circuits primarily located in the basal forebrain and to a lesser extent in the LH and CeL (Kaur et al. 2017). Furthermore, neurons that express CGRP also respond to nociception associated with footshocks and conditions known to suppress appetite; and optogenetic activations of these projections to the CeL diminish food intake (Carter et al. 2013) and produce an aversive teaching signal that results in a retrievable fear memory (Han et al. 2015). Neurons in the LPB send highly collateralized fiber projections to interconnected sites in the brain (Sarhan et al. 2005; Bowen et al. 2020; Chiang et al. 2020; Zhu et al. 2022) and attempts at isolating specific defensive behavioral and physiological responses to one anatomical terminal field have proven difficult using optogenetic approaches (Bowen et al. 2020; Chiang et al. 2020). The difficulty in assigning specific functions to subpopulations of PB neurons is compounded by the fact that these neurons exist as intermixed populations and not distinct clusters of cells (Huang et al. 2021a, 2021b; Bowen et al. 2020; Barik et al. 2018; Chiang et al. 2020). The latter is further complicated by the fact that neurons in the PB have dendrites and axons that extend across subnuclear zones (Sarhan et al. 2005; Jasmin et al. 1997; Chiang et al. 2020). Another notable observation made in the present paper is that the LPB neurons that innervate the PVT do not project to the BSTDL/CeL. Indeed, our understanding of how the PB integrates and relays signals to other regions of the brain is preliminary and limited by the complexity of the types of neurons that make up the PB including their unique afferent and efferent connections.
The number and location of input cells that synapse on LPB-PVT neurons provide some indications of the type of information these neurons broadcast to the PVT. The fact that major sources of input originate from neurons scattered in brainstem regions functionally associated with general arousal suggests that LPB-PVT projecting neurons may be part of an ascending arousal system. Inputs from the superior and inferior colliculi also indicate that LBP-PVT neurons may integrate signals linked to arousing visual and auditory stimuli. It is generally appreciated that arousal and the maintenance of wakefulness are mediated by a highly distributed network of interconnected neurons that span the forebrain, midbrain, and hindbrain (Liu and Dan 2019; Jones 2020; Scammell et al. 2017). The PB has been identified as a critical brainstem structure involved in arousal from sleep via connections to the basal forebrain and the LH (Venner et al. 2019; Qiu et al. 2016; Fuller et al. 2011; Xu et al. 2021; Kaur et al. 2013, 2017). While there is some evidence that the PVT is involved in arousal from sleep (Hua et al. 2018; Matyas et al. 2018; Ren et al. 2018), other evidence indicates that the thalamus is not critical for the PB’s cortical arousal effects (Qiu et al. 2016; Fuller et al. 2011; Xu et al. 2021).
General arousal has also been conceptualized as a brain activation phenomenon that invigorates behavior by enhancing the activity of the sensory and motor circuits (Pfaff et al. 2008; Pfaff 2006). Accordingly, another possibility is that general arousal signals enhance the activity of PVT neurons thereby invigorating behavioral responses. It should also be appreciated that factors that promote behavioral responses have general arousal effects on the brain (Pfaff 2006). Determinants of behavior such as physiologic states (e.g., hunger, thirst, nociception, pheromones) and cues that signal potential appetitive and aversive outcomes are often reported to increase the activity of PVT neurons (for details and references, see Barson et al. 2020; Millan et al. 2017; Hsu et al. 2014; Kirouac 2015, 2021; Penzo and Gao 2021). We postulate that PVT neurons integrate incoming signals that sense the arousal state of the brain with neural inputs signaling the presence of physiologic states and emotionally salient cues. For instance, the PVT uses hypothalamic and brainstem signals related to the energy and hydration to modulate behavioral responses to maintain homeostasis (Livneh et al. 2017; Zhang and van den Pol 2017; Hua et al. 2018; Sofia Beas et al. 2020; Leib et al. 2017; Labouebe et al. 2016; Zhu et al. 2018; Meffre et al. 2019). The PVT also receives signals related to predator odor via the ventromedial nucleus of the hypothalamus to suppress food reward seeking (Engelke et al. 2021). Other evidence shows that the PVT integrates signals related to emotionally salient cues from the prefrontal cortex to modulate behavioral responses (Otis et al. 2019, 2017; Do-Monte et al. 2015; Penzo et al. 2015). The type of influence that the PVT has appears to be related to whether a response poses a threat or has a chance of being unproductive supports the view that the PVT is also involved in the selection of responses based on the integration of a wide range of afferent inputs (Cheng et al. 2018; Do-Monte et al. 2017; Lafferty et al. 2020; Choi et al. 2019; Choi and McNally 2017). As a whole, various experimental and anatomical observations suggest that the PVT integrates a broad range of signals related to saliency of cues, homeostatic state, and general arousal to modulate behavioral responses that promote survival.
Figure 17 summarizes some of the more salient anatomical findings reported in this paper. As discussed above, the number of neurons scattered in the brainstem RF that provide synaptic input to the LPB-PVT neurons is especially noteworthy. In addition, a considerable proportion of inputs originate from neurons located in the NTS, PAG, tectum, and hypothalamus. An intriguing source of inputs originates from clusters of neurons in the BSTDL and CeL, areas of the extended amygdala also densely innervated by the PVT (Dong et al. 2017; Li and Kirouac 2008) and known to modulate behavioral responses to threats (Gungor and Pare 2016; Duvarci and Pare 2014; Fadok et al. 2018; Li 2019). The BSTDL/CeL could be part of a feedback circuit that influences the transmission of a variety of signals from the LPB to the PVT (i.e., gating mechanism). It is not known if PVT neurons make synaptic contact with neurons in the BSTDL/CeL that synapse on the LPB-PVT neurons nor do we know if the PVT neurons that project to the BSTDL/CeL receive synaptic contacts from the LPB neurons. Nonetheless, this is an intriguing possibility as it would provide a means by which a multisynaptic circuit could modulate the flow of arousal and/or other homeostatic signals to the PVT and other areas of the forebrain. In support, a recent paper identified projections from the BSTDL that modulate threat assessment and feeding by acting on PB neurons (Luskin et al. 2021). Both the LPB and PVT are areas of the brain often reported to be activated during aroused and emotional states (Hsu et al. 2014; Kirouac 2015; Palmiter 2018; Jaramillo et al. 2021; Chiang et al. 2019). Optogenetic excitation of PB fibers in the PVT and chemogenetic activation of PB-PVT neurons elicit responses indicative of an aversive state (Zhu et al. 2022). However, these findings should be interpreted cautiously since these manipulations are likely to have produced activation of most of the collaterals associated with these neurons and not only those projecting to the PVT. Our results also present the intriguing possibility that a descending GABAergic projection from the BSTDL/CeL (Moga and Gray 1985; Ye and Veinante 2019) could dampen the excitatory effects of arousal-related signals on LPB-PVT neurons. Effective modulation of excitatory inputs could be profound if descending GABAergic inputs synapse on the soma or proximal dendrites of LPB-PVT neurons (Hao et al. 2009; Kandel and Siegelbaum 2000). Such a multisynaptic circuit could provide a mechanism by which the BSTDL/CeL could gate ascending signals related to homeostatic state of the body to the PVT and other areas of the forebrain. Changes in this circuitry could lead to maladaptive hyperaroused states and dysregulation of homeostasis.
Schematic diagram summarizing some of the more salient anatomical findings from the TRIO and anterograde tracing approaches. The size of the arrows indicates the strength of the projection whereas the arrow with the dashed line indicates the lack of evidence for synaptic connectivity. See list for abbreviations
Availability of data and materials
Available with reasonable request.
Code availability
Not applicable.
Abbreviations
- 3 V:
-
Third ventricle
- 4 V:
-
Fourth ventricle
- 7 N:
-
Facial nucleus
- ac:
-
Anterior commissure
- aq:
-
Aqueduct
- BLA:
-
Basolateral amygdala
- BMA:
-
Basomedial amygdala
- BSTDL:
-
Bed nucleus of stria terminalis, dorsolateral
- BSTL:
-
Bed nucleus of stria terminalis, lateral
- BSTM:
-
Bed nucleus of stria terminalis, medial
- BSTV:
-
Bed nucleus of stria terminalis, ventral
- BSTVL:
-
Bed nucleus of stria terminalis, ventrolateral
- CeL:
-
Central amygdala, lateral-capsular division
- CeM:
-
Central amygdala, medial
- CnF:
-
Nucleus cuneiformis
- cp:
-
Cerebral peduncle
- CPu:
-
Caudate putamen
- CTB:
-
Cholera toxin subunit B
- DMH:
-
Dorsomedial hypothalamus
- DR:
-
Dorsal raphe
- dscp:
-
Decussation superior cerebellar peduncle
- DT:
-
Dorsal tegmental nucleus
- f:
-
Fornix
- Hb:
-
Habenular nucleus
- ic:
-
Internal capsule
- IC:
-
Inferior colliculus
- IMD:
-
Intermediodorsal nucleus of thalamus
- IPAC:
-
Interstitial nucleus of the posterior limb of the anterior commissure
- KF:
-
Killiker-Fuse nucleus
- LC:
-
Locus ceruleus
- LH:
-
Lateral hypothalamus
- LPB:
-
Lateral aspect of the parabrachial nucleus
- LPO:
-
Lateral preoptic area
- LRt:
-
Lateral reticular nucleus
- LV:
-
Lateral ventricle
- MD:
-
Mediodorsal nucleus of thalamus
- MdRt:
-
Medullary reticular nucleus
- Me5:
-
Mesencephalic trigeminal nucleus
- mfb:
-
Medial forebrain bundle
- MGN:
-
Medial geniculate nucleus
- ml:
-
Medial lemniscus
- MnPO:
-
Median preoptic nucleus
- MPB:
-
Medial aspect of the parabrachial nucleus
- MPO:
-
Medial preoptic nucleus
- Mt:
-
Mammillothalamic tract
- NAcSh:
-
Shell of the nucleus accumbens
- NTS:
-
Nucleus of the solitary tract
- opt:
-
Optic tract
- PAG:
-
Periaqueductal gray
- PAGD:
-
Periaqueductal gray, dorsal
- PAGV:
-
Periaqueductal gray, ventral
- PB:
-
Parabrachialc nucleus
- PCRt:
-
Parvicellular reticular nucleus
- PLH:
-
Perifornical lateral hypothalamus
- POA:
-
Preoptic area
- PSTh:
-
Parasubthalamic hypothalamus
- PT:
-
Paratenial nucleus of the thalamus
- PVN:
-
Paraventricular nucleus of the hypothalamus
- PVT:
-
Paraventricular nucleus of the thalamus
- aPVT:
-
Anterior aspect of the paraventricular nucleus of the thalamus
- pPVT:
-
Posterior aspect of the paraventricular nucleus of the thalamus
- py:
-
Pyramidal tract
- RF:
-
Reticular formation
- mRF:
-
Mesencephalic reticular formation
- mdRF:
-
Medullary reticular formation
- pRF:
-
Pontine reticular formation
- rs:
-
Rubrospinal tract
- SC:
-
Superior colliculus
- scp:
-
Superior cerebellar peduncle
- scpd:
-
Superior cerebellar peduncle, descend limb
- sm:
-
Stria medullaris of the thalamus
- SNL:
-
Lateral substantia nigra
- sp5:
-
Spinal trigeminal tract
- Sp5:
-
Spinal trigeminal nucleus
- Sp5C:
-
Spinal trigeminal nucleus, caudal
- STh:
-
Subthalamic hypothalamus
- TH:
-
Tyrosine hydroxylase
- TRIO:
-
Tracing the input–output organization method
- Ve:
-
Vestibular nucleus
- VLM:
-
Ventrolateral medulla
- VMH:
-
Ventromedial hypothalamus
- VP:
-
Ventral pallidum
- ZI:
-
Zona incerta
References
Alexander GE, Crutcher MD, DeLong MR (1990) Basal ganglia-thalamocortical circuits: parallel substrates for motor, oculomotor, “prefrontal” and “limbic” functions. Prog Brain Res 85:119–146
Alexandre C, Andermann ML, Scammell TE (2013) Control of arousal by the orexin neurons. Curr Opin Neurobiol 23(5):752–759. https://doi.org/10.1016/j.conb.2013.04.008
Alheid GF (2003) Extended amygdala and basal forebrain. Ann N Y Acad Sci 985:185–205
Alheid GF, Shammah-Lagnado SJ, Beltramino CA (1999) The interstitial nucleus of the posterior limb of the anterior commissure: a novel layer of the central division of extended amygdala. Ann N Y Acad Sci 877:645–654
Arrigoni E, Chee MJS, Fuller PM (2019) To eat or to sleep: that is a lateral hypothalamic question. Neuropharmacology 154:34–49. https://doi.org/10.1016/j.neuropharm.2018.11.017
Aston-Jones G, Cohen JD (2005) An integrative theory of locus coeruleus-norepinephrine function: adaptive gain and optimal performance. Annu Rev Neurosci 28:403–450. https://doi.org/10.1146/annurev.neuro.28.061604.135709
Barik A, Thompson JH, Seltzer M, Ghitani N, Chesler AT (2018) A brainstem-spinal circuit controlling nocifensive behavior. Neuron 100(6):1491-1503 e1493. https://doi.org/10.1016/j.neuron.2018.10.037
Barson JR, Mack NR, Gao WJ (2020) The paraventricular nucleus of the thalamus is an important node in the emotional processing network. Front Behav Neurosci 14:598469. https://doi.org/10.3389/fnbeh.2020.598469
Bartonjo JJ, Lundy RF (2020) Distinct populations of amygdala somatostatin-expressing neurons project to the nucleus of the solitary tract and parabrachial nucleus. Chem Senses 45(8):687–698. https://doi.org/10.1093/chemse/bjaa059
Basso MA, May PJ (2017) Circuits for action and cognition: a view from the superior colliculus. Annu Rev Vis Sci 3:197–226. https://doi.org/10.1146/annurev-vision-102016-061234
Beas BS, Wright BJ, Skirzewski M, Leng Y, Hyun JH, Koita O, Ringelberg N, Kwon HB, Buonanno A, Penzo MA (2018) The locus coeruleus drives disinhibition in the midline thalamus via a dopaminergic mechanism. Nat Neurosci 21(7):963–973. https://doi.org/10.1038/s41593-018-0167-4
Behbehani MM (1995) Functional characteristics of the midbrain periaqueductal gray. Prog Neurobiol 46(6):575–605
Beier KT (2019) Hitchhiking on the neuronal highway: mechanisms of transsynaptic specificity. J Chem Neuroanat 99:9–17. https://doi.org/10.1016/j.jchemneu.2019.05.001
Bernard JF, Peschanski M, Besson JM (1989) Afferents and efferents of the rat cuneiformis nucleus: an anatomical study with reference to pain transmission. Brain Res 490(1):181–185. https://doi.org/10.1016/0006-8993(89)90449-6
Berthoud HR (2002) Multiple neural systems controlling food intake and body weight. Neurosci Biobehav Rev 26(4):393–428. https://doi.org/10.1016/s0149-7634(02)00014-3
Bhatnagar S, Dallman M (1998) Neuroanatomical basis for facilitation of hypothalamic-pituitary-adrenal responses to a novel stressor after chronic stress. Neuroscience 84(4):1025–1039
Bhatnagar S, Dallman MF (1999) The paraventricular nucleus of the thalamus alters rhythms in core temperature and energy balance in a state-dependent manner. Brain Res 851(1–2):66–75
Bhatnagar S, Viau V, Chu A, Soriano L, Meijer OC, Dallman MF (2000) A cholecystokinin-mediated pathway to the paraventricular thalamus is recruited in chronically stressed rats and regulates hypothalamic-pituitary-adrenal function. J Neurosci 20(14):5564–5573
Bhatnagar S, Huber R, Nowak N, Trotter P (2002) Lesions of the posterior paraventricular thalamus block habituation of hypothalamic-pituitary-adrenal responses to repeated restraint. J Neuroendocrinol 14(5):403–410
Bhatnagar S, Huber R, Lazar E, Pych L, Vining C (2003) Chronic stress alters behavior in the conditioned defensive burying test: role of the posterior paraventricular thalamus. Pharmacol Biochem Behav 76(2):343–349
Blessing WW (1997) The lower brainstem and bodily homeostasis. Oxford Press, New York
Bonnavion P, Mickelsen LE, Fujita A, de Lecea L, Jackson AC (2016) Hubs and spokes of the lateral hypothalamus: cell types, circuits and behaviour. J Physiol 594(22):6443–6462. https://doi.org/10.1113/JP271946
Bowen AJ, Chen JY, Huang YW, Baertsch NA, Park S, Palmiter RD (2020) Dissociable control of unconditioned responses and associative fear learning by parabrachial CGRP neurons. Elife. https://doi.org/10.7554/eLife.59799
Brandao ML, Cardoso SH, Melo LL, Motta V, Coimbra NC (1994) Neural substrate of defensive behavior in the midbrain tectum. Neurosci Biobehav Rev 18(3):339–346. https://doi.org/10.1016/0149-7634(94)90047-7
Brandao ML, Troncoso AC, de Souza Silva MA, Huston JP (2003) The relevance of neuronal substrates of defense in the midbrain tectum to anxiety and stress: empirical and conceptual considerations. Eur J Pharmacol 463(1–3):225–233. https://doi.org/10.1016/s0014-2999(03)01284-6
Bucci D, Busceti CL, Calierno MT, Di Pietro P, Madonna M, Biagioni F, Ryskalin L, Limanaqi F, Nicoletti F, Fornai F (2017) Systematic morphometry of catecholamine nuclei in the brainstem. Front Neuroanat 11:98. https://doi.org/10.3389/fnana.2017.00098
Cabrera G, Cavelli M, Lopez C, Rodriguez-Servetti Z, Vanini G, Chase MH, Falconi A, Torterolo P (2013) Wakefulness-promoting role of the inferior colliculus. Behav Brain Res 256:82–94. https://doi.org/10.1016/j.bbr.2013.07.049
Cai YQ, Wang W, Paulucci-Holthauzen A, Pan ZZ (2018) Brain circuits mediating opposing effects on emotion and pain. J Neurosci 38(28):6340–6349. https://doi.org/10.1523/JNEUROSCI.2780-17.2018
Card JP, Sved JC, Craig B, Raizada M, Vazquez J, Sved AF (2006) Efferent projections of rat rostroventrolateral medulla C1 catecholamine neurons: Implications for the central control of cardiovascular regulation. J Comp Neurol 499(5):840–859. https://doi.org/10.1002/cne.21140
Carter ME, Soden ME, Zweifel LS, Palmiter RD (2013) Genetic identification of a neural circuit that suppresses appetite. Nature 503(7474):111–114. https://doi.org/10.1038/nature12596
Castro DC, Cole SL, Berridge KC (2015) Lateral hypothalamus, nucleus accumbens, and ventral pallidum roles in eating and hunger: interactions between homeostatic and reward circuitry. Front Syst Neurosci 9:90. https://doi.org/10.3389/fnsys.2015.00090
Chen S, Su HS (1990) Afferent connections of the thalamic paraventricular and parataenial nuclei in the rat—a retrograde tracing study with iontophoretic application of Fluoro-Gold. Brain Res 522(1):1–6
Cheng J, Wang J, Ma X, Ullah R, Shen Y, Zhou YD (2018) Anterior paraventricular thalamus to nucleus accumbens projection is involved in feeding behavior in a novel environment. Front Mol Neurosci 11:202. https://doi.org/10.3389/fnmol.2018.00202
Chiang MC, Bowen A, Schier LA, Tupone D, Uddin O, Heinricher MM (2019) Parabrachial complex: a hub for pain and aversion. J Neurosci 39(42):8225–8230. https://doi.org/10.1523/JNEUROSCI.1162-19.2019
Chiang MC, Nguyen EK, Canto-Bustos M, Papale AE, Oswald AM, Ross SE (2020) Divergent neural pathways emanating from the lateral parabrachial nucleus mediate distinct components of the pain response. Neuron 106(6):927-939 e925. https://doi.org/10.1016/j.neuron.2020.03.014
Choi EA, McNally GP (2017) Paraventricular thalamus balances danger and reward. J Neurosci 37(11):3018–3029. https://doi.org/10.1523/JNEUROSCI.3320-16.2017
Choi EA, Jean-Richard-Dit-Bressel P, Clifford CWG, McNally GP (2019) Paraventricular thalamus controls behavior during motivational conflict. J Neurosci 39(25):4945–4958. https://doi.org/10.1523/JNEUROSCI.2480-18.2019
Choi S, Hachisuka J, Brett MA, Magee AR, Omori Y, Iqbal NU, Zhang D, DeLisle MM, Wolfson RL, Bai L, Santiago C, Gong S, Goulding M, Heintz N, Koerber HR, Ross SE, Ginty DD (2020) Parallel ascending spinal pathways for affective touch and pain. Nature 587(7833):258–263. https://doi.org/10.1038/s41586-020-2860-1
Colavito V, Tesoriero C, Wirtu AT, Grassi-Zucconi G, Bentivoglio M (2015) Limbic thalamus and state-dependent behavior: the paraventricular nucleus of the thalamic midline as a node in circadian timing and sleep/wake-regulatory networks. Neurosci Biobehav Rev 54:3–17. https://doi.org/10.1016/j.neubiorev.2014.11.021
Coles SK, Iles JF, Nicolopoulos-Stournaras S (1989) The mesencephalic centre controlling locomotion in the rat. Neuroscience 28(1):149–157. https://doi.org/10.1016/0306-4522(89)90239-x
Cornwall J, Phillipson OT (1988) Afferent projections to the dorsal thalamus of the rat as shown by retrograde lectin transport—I. The mediodorsal nucleus. Neuroscience 24(3):1035–1049
Dampney RA (1994) Functional organization of central pathways regulating the cardiovascular system. Physiol Rev 74(2):323–364. https://doi.org/10.1152/physrev.1994.74.2.323
Davis M, Shi C (1999) The extended amygdala: are the central nucleus of the amygdala and the bed nucleus of the stria terminalis differentially involved in fear versus anxiety? Ann N Y Acad Sci 877:281–291
de Olmos JS, Beltramino CA, Alheid GF (2004) Amygdala and extended amygdala of the rat: a cytoarchitectonical, fibroarchitectonical, and chemoarchitectonical survey. In: Paxinos G (ed) The rat nervous system, 3rd edn. Academic Press, New York, pp 509–603
Deng J, Zhou H, Lin JK, Shen ZX, Chen WZ, Wang LH, Li Q, Mu D, Wei YC, Xu XH, Sun YG (2020) The parabrachial nucleus directly channels spinal nociceptive signals to the intralaminar thalamic nuclei, but not the amygdala. Neuron 107(5):909-923 e906. https://doi.org/10.1016/j.neuron.2020.06.017
Deniau JM, Mailly P, Maurice N, Charpier S (2007) The pars reticulata of the substantia nigra: a window to basal ganglia output. Prog Brain Res 160:151–172. https://doi.org/10.1016/S0079-6123(06)60009-5
DePuy SD, Stornetta RL, Bochorishvili G, Deisseroth K, Witten I, Coates M, Guyenet PG (2013) Glutamatergic neurotransmission between the C1 neurons and the parasympathetic preganglionic neurons of the dorsal motor nucleus of the vagus. J Neurosci 33(4):1486–1497. https://doi.org/10.1523/JNEUROSCI.4269-12.2013
DiMicco JA, Samuels BC, Zaretskaia MV, Zaretsky DV (2002) The dorsomedial hypothalamus and the response to stress: part renaissance, part revolution. Pharmacol Biochem Behav 71(3):469–480. https://doi.org/10.1016/s0091-3057(01)00689-x
Do-Monte FH, Quinones-Laracuente K, Quirk GJ (2015) A temporal shift in the circuits mediating retrieval of fear memory. Nature 519(7544):460–463. https://doi.org/10.1038/nature14030
Do-Monte FH, Minier-Toribio A, Quinones-Laracuente K, Medina-Colon EM, Quirk GJ (2017) Thalamic regulation of sucrose seeking during unexpected reward omission. Neuron 94(2):388-400 e384. https://doi.org/10.1016/j.neuron.2017.03.036
Dong X, Li S, Kirouac GJ (2017) Collateralization of projections from the paraventricular nucleus of the thalamus to the nucleus accumbens, bed nucleus of the stria terminalis, and central nucleus of the amygdala. Brain Struct Funct 222(9):3927–3943. https://doi.org/10.1007/s00429-017-1445-8
Dong X, Li S, Kirouac GJ (2020) A projection from the paraventricular nucleus of the thalamus to the shell of the nucleus accumbens contributes to footshock stress-induced social avoidance. Neurobiol Stress 13:100266. https://doi.org/10.1016/j.ynstr.2020.100266
Duvarci S, Pare D (2014) Amygdala microcircuits controlling learned fear. Neuron 82(5):966–980. https://doi.org/10.1016/j.neuron.2014.04.042
Ebrahimzadeh M, Haghparast A (2011) Analgesic effects of cannabinoid receptor agonist WIN55,212–2 in the nucleus cuneiformis in animal models of acute and inflammatory pain in rats. Brain Res 1420:19–28. https://doi.org/10.1016/j.brainres.2011.08.028
Ellenbroek B, Youn J (2016) Rodent models in neuroscience research: is it a rat race? Dis Model Mech 9(10):1079–1087. https://doi.org/10.1242/dmm.026120
Engelke DS, Zhang XO, O’Malley JJ, Fernandez-Leon JA, Li S, Kirouac GJ, Beierlein M, Do-Monte FH (2021) A hypothalamic-thalamostriatal circuit that controls approach-avoidance conflict in rats. Nat Commun 12(1):2517. https://doi.org/10.1038/s41467-021-22730-y
Fadok JP, Markovic M, Tovote P, Luthi A (2018) New perspectives on central amygdala function. Curr Opin Neurobiol 49:141–147. https://doi.org/10.1016/j.conb.2018.02.009
Fontes MA, Xavier CH, de Menezes RC, Dimicco JA (2011) The dorsomedial hypothalamus and the central pathways involved in the cardiovascular response to emotional stress. Neuroscience 184:64–74. https://doi.org/10.1016/j.neuroscience.2011.03.018
Fox AS, Oler JA, do Tromp PM, Fudge JL, Kalin NH (2015) Extending the amygdala in theories of threat processing. Trends Neurosci 38(5):319–329. https://doi.org/10.1016/j.tins.2015.03.002
Fuller PM, Sherman D, Pedersen NP, Saper CB, Lu J (2011) Reassessment of the structural basis of the ascending arousal system. J Comp Neurol 519(5):933–956. https://doi.org/10.1002/cne.22559
Fuxe K, Dahlstrom AB, Jonsson G, Marcellino D, Guescini M, Dam M, Manger P, Agnati L (2010) The discovery of central monoamine neurons gave volume transmission to the wired brain. Prog Neurobiol 90(2):82–100. https://doi.org/10.1016/j.pneurobio.2009.10.012
Garfield AS, Shah BP, Madara JC, Burke LK, Patterson CM, Flak J, Neve RL, Evans ML, Lowell BB, Myers MG Jr, Heisler LK (2014) A parabrachial-hypothalamic cholecystokinin neurocircuit controls counterregulatory responses to hypoglycemia. Cell Metab 20(6):1030–1037. https://doi.org/10.1016/j.cmet.2014.11.006
Gauriau C, Bernard JF (2002) Pain pathways and parabrachial circuits in the rat. Exp Physiol 87(2):251–258
Geerling JC, Kim M, Mahoney CE, Abbott SB, Agostinelli LJ, Garfield AS, Krashes MJ, Lowell BB, Scammell TE (2016) Genetic identity of thermosensory relay neurons in the lateral parabrachial nucleus. Am J Physiol Regul Integr Comp Physiol 310(1):R41-54. https://doi.org/10.1152/ajpregu.00094.2015
Geerling JC, Yokota S, Rukhadze I, Roe D, Chamberlin NL (2017) Kolliker-Fuse GABAergic and glutamatergic neurons project to distinct targets. J Comp Neurol 525(8):1844–1860. https://doi.org/10.1002/cne.24164
Gehrlach DA, Weiand C, Gaitanos TN, Cho E, Klein AS, Hennrich AA, Conzelmann KK, Gogolla N (2020) A whole-brain connectivity map of mouse insular cortex. Elife. https://doi.org/10.7554/eLife.55585
George DT, Ameli R, Koob GF (2019) Periaqueductal gray sheds light on dark areas of psychopathology. Trends Neurosci 42(5):349–360. https://doi.org/10.1016/j.tins.2019.03.004
Gong H, McGinty D, Guzman-Marin R, Chew KT, Stewart D, Szymusiak R (2004) Activation of c-fos in GABAergic neurones in the preoptic area during sleep and in response to sleep deprivation. J Physiol 556(Pt 3):935–946. https://doi.org/10.1113/jphysiol.2003.056622
Gonzales C, Chesselet MF (1990) Amygdalonigral pathway: an anterograde study in the rat with Phaseolus vulgaris leucoagglutinin (PHA-L). J Comp Neurol 297(2):182–200. https://doi.org/10.1002/cne.902970203
Goto M, Swanson LW (2004) Axonal projections from the parasubthalamic nucleus. J Comp Neurol 469(4):581–607. https://doi.org/10.1002/cne.11036
Gungor NZ, Pare D (2016) Functional heterogeneity in the bed nucleus of the stria terminalis. J Neurosci 36(31):8038–8049. https://doi.org/10.1523/JNEUROSCI.0856-16.2016
Guyenet PG (2006) The sympathetic control of blood pressure. Nat Rev Neurosci 7(5):335–346. https://doi.org/10.1038/nrn1902
Guyenet PG, Stornetta RL, Bochorishvili G, Depuy SD, Burke PG, Abbott SB (2013) C1 neurons: the body’s EMTs. Am J Physiol Regul Integr Comp Physiol 305(3):R187-204. https://doi.org/10.1152/ajpregu.00054.2013
Haghparast A, Naderi N, Khani A, Lashgari R, Motamedi F (2010) Formalin-induced differential activation of nucleus cuneiformis neurons in the rat: an electrophysiological study. J Pain 11(1):32–43. https://doi.org/10.1016/j.jpain.2009.05.005
Han S, Soleiman MT, Soden ME, Zweifel LS, Palmiter RD (2015) Elucidating an affective pain circuit that creates a threat memory. Cell 162(2):363–374. https://doi.org/10.1016/j.cell.2015.05.057
Hao J, Wang XD, Dan Y, Poo MM, Zhang XH (2009) An arithmetic rule for spatial summation of excitatory and inhibitory inputs in pyramidal neurons. Proc Natl Acad Sci USA 106(51):21906–21911. https://doi.org/10.1073/pnas.0912022106
Herbert H, Moga MM, Saper CB (1990) Connections of the parabrachial nucleus with the nucleus of the solitary tract and the medullary reticular formation in the rat. J Comp Neurol 293(4):540–580. https://doi.org/10.1002/cne.902930404
Heydendael W, Sharma K, Iyer V, Luz S, Piel D, Beck S, Bhatnagar S (2011) Orexins/hypocretins act in the posterior paraventricular thalamic nucleus during repeated stress to regulate facilitation to novel stress. Endocrinology 152(12):4738–4752. https://doi.org/10.1210/en.2011-1652
Hsu DT, Kirouac GJ, Zubieta JK, Bhatnagar S (2014) Contributions of the paraventricular thalamic nucleus in the regulation of stress, motivation, and mood. Front Behav Neurosci 8:73. https://doi.org/10.3389/fnbeh.2014.00073
Hua R, Wang X, Chen X, Wang X, Huang P, Li P, Mei W, Li H (2018) Calretinin neurons in the midline thalamus modulate starvation-induced arousal. Curr Biol 28(24):3948-3959 e3944. https://doi.org/10.1016/j.cub.2018.11.020
Huang D, Grady FS, Peltekian L, Geerling JC (2021a) Efferent projections of Vglut2, Foxp2, and Pdyn parabrachial neurons in mice. J Comp Neurol 529(4):657–693. https://doi.org/10.1002/cne.24975
Huang D, Grady FS, Peltekian L, Laing JJ, Geerling JC (2021b) Efferent projections of CGRP/Calca-expressing parabrachial neurons in mice. J Comp Neurol 529(11):2911–2957. https://doi.org/10.1002/cne.25136
Isa T, Marquez-Legorreta E, Grillner S, Scott EK (2021) The tectum/superior colliculus as the vertebrate solution for spatial sensory integration and action. Curr Biol 31(11):R741–R762. https://doi.org/10.1016/j.cub.2021.04.001
Ito M, Nagase M, Tohyama S, Mikami K, Kato F, Watabe AM (2021) The parabrachial-to-amygdala pathway provides aversive information to induce avoidance behavior in mice. Mol Brain 14(1):94. https://doi.org/10.1186/s13041-021-00807-5
Jaferi A, Bhatnagar S (2006) Corticosterone can act at the posterior paraventricular thalamus to inhibit hypothalamic-pituitary-adrenal activity in animals that habituate to repeated stress. Endocrinology 147(10):4917–4930
Jaferi A, Nowak N, Bhatnagar S (2003) Negative feedback functions in chronically stressed rats: role of the posterior paraventricular thalamus. Physiol Behav 78(3):365–373
Jaramillo AA, Williford KM, Marshall C, Winder DG, Centanni SW (2020) BNST transient activity associates with approach behavior in a stressful environment and is modulated by the parabrachial nucleus. Neurobiol Stress 13:100247. https://doi.org/10.1016/j.ynstr.2020.100247
Jaramillo AA, Brown JA, Winder DG (2021) Danger and distress: parabrachial-extended amygdala circuits. Neuropharmacology 198:108757. https://doi.org/10.1016/j.neuropharm.2021.108757
Jasmin L, Burkey AR, Card JP, Basbaum AI (1997) Transneuronal labeling of a nociceptive pathway, the spino-(trigemino-)parabrachio-amygdaloid, in the rat. J Neurosci 17(10):3751–3765
Jones BE (1995) Reticular formation: cytoarchitecture, transmitters, and projections. In: Paxinos G (ed) The rat nervous system. Academic Press, San Diego, pp 155–171
Jones BE (2020) Arousal and sleep circuits. Neuropsychopharmacology 45(1):6–20. https://doi.org/10.1038/s41386-019-0444-2
Jordan LM, Liu J, Hedlund PB, Akay T, Pearson KG (2008) Descending command systems for the initiation of locomotion in mammals. Brain Res Rev 57(1):183–191. https://doi.org/10.1016/j.brainresrev.2007.07.019
Kandel ER, Siegelbaum SA (2000) Synaptic integration. In: Kandel ER, Schwartz JH, Jessell TM (eds) Principles of neuroscience. McGraw-Hill, New York, pp 207–228
Kaur S, Pedersen NP, Yokota S, Hur EE, Fuller PM, Lazarus M, Chamberlin NL, Saper CB (2013) Glutamatergic signaling from the parabrachial nucleus plays a critical role in hypercapnic arousal. J Neurosci 33(18):7627–7640. https://doi.org/10.1523/JNEUROSCI.0173-13.2013
Kaur S, Wang JL, Ferrari L, Thankachan S, Kroeger D, Venner A, Lazarus M, Wellman A, Arrigoni E, Fuller PM, Saper CB (2017) A genetically defined circuit for arousal from sleep during hypercapnia. Neuron 96(5):1153-1167 e1155. https://doi.org/10.1016/j.neuron.2017.10.009
Kim DY, Heo G, Kim M, Kim H, Jin JA, Kim HK, Jung S, An M, Ahn BH, Park JH, Park HE, Lee M, Lee JW, Schwartz GJ, Kim SY (2020) A neural circuit mechanism for mechanosensory feedback control of ingestion. Nature 580(7803):376–380. https://doi.org/10.1038/s41586-020-2167-2
Kirouac GJ (2015) Placing the paraventricular nucleus of the thalamus within the brain circuits that control behavior. Neurosci Biobehav Rev 56:315–329. https://doi.org/10.1016/j.neubiorev.2015.08.005
Kirouac GJ (2021) The paraventricular nucleus of the thalamus as an integrating and relay node in the brain anxiety network. Front Behav Neurosci 15:627633. https://doi.org/10.3389/fnbeh.2021.627633
Kirouac GJ, Parsons MP, Li S (2005) Orexin (hypocretin) innervation of the paraventricular nucleus of the thalamus. Brain Res 1059(2):179–188
Kirouac GJ, Parsons MP, Li S (2006) Innervation of the paraventricular nucleus of the thalamus from cocaine- and amphetamine-regulated transcript (CART) containing neurons of the hypothalamus. J Comp Neurol 497(2):155–165
Kolmac CI, Power BD, Mitrofanis J (1998) Patterns of connections between zona incerta and brainstem in rats. J Comp Neurol 396(4):544–555. https://doi.org/10.1002/(sici)1096-9861(19980713)396:4%3c544::aid-cne10%3e3.0.co;2-g
Krout KE, Loewy AD (2000a) Parabrachial nucleus projections to midline and intralaminar thalamic nuclei of the rat. J Comp Neurol 428(3):475–494
Krout KE, Loewy AD (2000b) Periaqueductal gray matter projections to midline and intralaminar thalamic nuclei of the rat. J Comp Neurol 424(1):111–141
Krout KE, Belzer RE, Loewy AD (2002) Brainstem projections to midline and intralaminar thalamic nuclei of the rat. J Comp Neurol 448(1):53–101
Krout KE, Mettenleiter TC, Loewy AD (2003) Single CNS neurons link both central motor and cardiosympathetic systems: a double-virus tracing study. Neuroscience 118(3):853–866
Labouebe G, Boutrel B, Tarussio D, Thorens B (2016) Glucose-responsive neurons of the paraventricular thalamus control sucrose-seeking behavior. Nat Neurosci 19(8):999–1002. https://doi.org/10.1038/nn.4331
Lafferty CK, Yang AK, Mendoza JA, Britt JP (2020) Nucleus accumbens cell type- and input-specific suppression of unproductive reward seeking. Cell Rep 30(11):3729-3742 e3723. https://doi.org/10.1016/j.celrep.2020.02.095
Lavin TK, Jin L, Wickersham IR (2019) Monosynaptic tracing: a step-by-step protocol. J Chem Neuroanat 102:101661. https://doi.org/10.1016/j.jchemneu.2019.101661
Lebow MA, Chen A (2016) Overshadowed by the amygdala: the bed nucleus of the stria terminalis emerges as key to psychiatric disorders. Mol Psychiatry 21(4):450–463. https://doi.org/10.1038/mp.2016.1
Leib DE, Zimmerman CA, Poormoghaddam A, Huey EL, Ahn JS, Lin YC, Tan CL, Chen Y, Knight ZA (2017) The forebrain thirst circuit drives drinking through negative reinforcement. Neuron 96(6):1272-1281 e1274. https://doi.org/10.1016/j.neuron.2017.11.041
Li B (2019) Central amygdala cells for learning and expressing aversive emotional memories. Curr Opin Behav Sci 26:40–45. https://doi.org/10.1016/j.cobeha.2018.09.012
Li S, Kirouac GJ (2008) Projections from the paraventricular nucleus of the thalamus to the forebrain, with special emphasis on the extended amygdala. J Comp Neurol 506(2):263–287
Li S, Kirouac GJ (2012) Sources of inputs to the anterior and posterior aspects of the paraventricular nucleus of the thalamus. Brain Struct Funct 217(2):257–273. https://doi.org/10.1007/s00429-011-0360-7
Li Y, Li S, Wei C, Wang H, Sui N, Kirouac GJ (2010) Orexins in the paraventricular nucleus of the thalamus mediate anxiety-like responses in rats. Psychopharmacology 212(2):251–265. https://doi.org/10.1007/s00213-010-1948-y
Li S, Shi Y, Kirouac GJ (2014) The hypothalamus and periaqueductal gray are the sources of dopamine fibers in the paraventricular nucleus of the thalamus in the rat. Front Neuroanat 8:136. https://doi.org/10.3389/fnana.2014.00136
Li S, Dong X, Kirouac GJ (2021) Extensive divergence of projections to the forebrain from neurons in the paraventricular nucleus of the thalamus. Brain Struct Funct 226(6):1779–1802. https://doi.org/10.1007/s00429-021-02289-6
Liu D, Dan Y (2019) A motor theory of sleep-wake control: arousal-action circuit. Annu Rev Neurosci 42:27–46. https://doi.org/10.1146/annurev-neuro-080317-061813
Liu C, Lee CY, Asher G, Cao L, Terakoshi Y, Cao P, Kobayakawa R, Kobayakawa K, Sakurai K, Liu Q (2021a) Author correction: posterior subthalamic nucleus (PSTh) mediates innate fear-associated hypothermia in mice. Nat Commun 12(1):5153. https://doi.org/10.1038/s41467-021-25434-5
Liu J, Hu T, Zhang MQ, Xu CY, Yuan MY, Li RX (2021b) Differential efferent projections of GABAergic neurons in the basolateral and central nucleus of amygdala in mice. Neurosci Lett 745:135621. https://doi.org/10.1016/j.neulet.2020.135621
Livneh Y, Ramesh RN, Burgess CR, Levandowski KM, Madara JC, Fenselau H, Goldey GJ, Diaz VE, Jikomes N, Resch JM, Lowell BB, Andermann ML (2017) Homeostatic circuits selectively gate food cue responses in insular cortex. Nature 546(7660):611–616. https://doi.org/10.1038/nature22375
Lundry RF, Norgren R (2015) Gustatory system. In: Paxinos G (ed) The rat nervous system. Academic Press, San Diego, pp 733–760
Luskin AT, Bhatti DL, Mulvey B, Pedersen CE, Girven KS, Oden-Brunson H, Kimbell K, Blackburn T, Sawyer A, Gereau RWt, Dougherty JD, Bruchas MR, (2021) Extended amygdala-parabrachial circuits alter threat assessment and regulate feeding. Sci Adv. https://doi.org/10.1126/sciadv.abd3666
Matyas F, Komlosi G, Babiczky A, Kocsis K, Bartho P, Barsy B, David C, Kanti V, Porrero C, Magyar A, Szucs I, Clasca F, Acsady L (2018) A highly collateralized thalamic cell type with arousal-predicting activity serves as a key hub for graded state transitions in the forebrain. Nat Neurosci 21(11):1551–1562. https://doi.org/10.1038/s41593-018-0251-9
McGinty JF, Otis JM (2020) Heterogeneity in the paraventricular thalamus: the traffic light of motivated behaviors. Front Behav Neurosci 14:590528. https://doi.org/10.3389/fnbeh.2020.590528
McKinley MJ, Yao ST, Uschakov A, McAllen RM, Rundgren M, Martelli D (2015) The median preoptic nucleus: front and centre for the regulation of body fluid, sodium, temperature, sleep and cardiovascular homeostasis. Acta Physiol 214(1):8–32. https://doi.org/10.1111/apha.12487
Meffre J, Sicre M, Diarra M, Marchessaux F, Paleressompoulle D, Ambroggi F (2019) Orexin in the posterior paraventricular thalamus mediates hunger-related signals in the nucleus accumbens core. Curr Biol 29(19):3298-3306 e3294. https://doi.org/10.1016/j.cub.2019.07.069
Menani JV, Vieira AA, Colombari DSA, De Paula PM, Colombari E, De Luca Jr LA (2014) Preoptic-periventricular integrative mechanisms involved in behavior, fluid-electrolyte balance, and pressor responses. In: Menani JV, Johnson AK, De Luca LA (eds) Neurobiology of body fluid homeostasis: transduction and integration. Taylor & Francis, Milton Park
Millan EZ, Ong Z, McNally GP (2017) Paraventricular thalamus: gateway to feeding, appetitive motivation, and drug addiction. Prog Brain Res 235:113–137. https://doi.org/10.1016/bs.pbr.2017.07.006
Mitrofanis J (2005) Some certainty for the “zone of uncertainty”? Exploring the function of the zona incerta. Neuroscience 130(1):1–15. https://doi.org/10.1016/j.neuroscience.2004.08.017
Miyamichi K, Shlomai-Fuchs Y, Shu M, Weissbourd BC, Luo L, Mizrahi A (2013) Dissecting local circuits: parvalbumin interneurons underlie broad feedback control of olfactory bulb output. Neuron 80(5):1232–1245. https://doi.org/10.1016/j.neuron.2013.08.027
Moga MM, Gray TS (1985) Evidence for corticotropin-releasing factor, neurotensin, and somatostatin in the neural pathway from the central nucleus of the amygdala to the parabrachial nucleus. J Comp Neurol 241(3):275–284. https://doi.org/10.1002/cne.902410304
Moga MM, Herbert H, Hurley KM, Yasui Y, Gray TS, Saper CB (1990) Organization of cortical, basal forebrain, and hypothalamic afferents to the parabrachial nucleus in the rat. J Comp Neurol 295(4):624–661. https://doi.org/10.1002/cne.902950408
Moga MM, Weis RP, Moore RY (1995) Efferent projections of the paraventricular thalamic nucleus in the rat. J Comp Neurol 359(2):221–238
Moriyama Y (1987) Rhythmical jaw movements and lateral ponto-medullary reticular neurons in rats. Comp Biochem Physiol A Comp Physiol 86(1):7–14. https://doi.org/10.1016/0300-9629(87)90268-4
Moruzzi G, Magoun HW (1949) Brain stem reticular formation and activation of the EEG. Electroencephalogr Clin Neurophysiol 1(4):455–473
Mulckhuyse M (2018) The influence of emotional stimuli on the oculomotor system: a review of the literature. Cogn Affect Behav Neurosci 18(3):411–425. https://doi.org/10.3758/s13415-018-0590-8
Myers B, Mark Dolgas C, Kasckow J, Cullinan WE, Herman JP (2014) Central stress-integrative circuits: forebrain glutamatergic and GABAergic projections to the dorsomedial hypothalamus, medial preoptic area, and bed nucleus of the stria terminalis. Brain Struct Funct 219(4):1287–1303. https://doi.org/10.1007/s00429-013-0566-y
Niu JG, Yokota S, Tsumori T, Qin Y, Yasui Y (2010) Glutamatergic lateral parabrachial neurons innervate orexin-containing hypothalamic neurons in the rat. Brain Res 1358:110–122. https://doi.org/10.1016/j.brainres.2010.08.056
Otake K (2005) Cholecystokinin and substance P immunoreactive projections to the paraventricular thalamic nucleus in the rat. Neurosci Res 51(4):383–394
Otake K, Nakamura Y (1995) Sites of origin of corticotropin-releasing factor-like immunoreactive projection fibers to the paraventricular thalamic nucleus in the rat. Neurosci Lett 201(1):84–86
Otake K, Ruggiero DA (1995) Monoamines and nitric oxide are employed by afferents engaged in midline thalamic regulation. J Neurosci 15(3 Pt 1):1891–1911
Otake K, Reis DJ, Ruggiero DA (1994) Afferents to the midline thalamus issue collaterals to the nucleus tractus solitarii: an anatomical basis for thalamic and visceral reflex integration. J Neurosci 14(9):5694–5707
Otis JM, Namboodiri VM, Matan AM, Voets ES, Mohorn EP, Kosyk O, McHenry JA, Robinson JE, Resendez SL, Rossi MA, Stuber GD (2017) Prefrontal cortex output circuits guide reward seeking through divergent cue encoding. Nature 543(7643):103–107. https://doi.org/10.1038/nature21376
Otis JM, Zhu M, Namboodiri VMK, Cook CA, Kosyk O, Matan AM, Ying R, Hashikawa Y, Hashikawa K, Trujillo-Pisanty I, Guo J, Ung RL, Rodriguez-Romaguera J, Anton ES, Stuber GD (2019) Paraventricular thalamus projection neurons integrate cortical and hypothalamic signals for cue-reward processing. Neuron 103(3):423-431 e424. https://doi.org/10.1016/j.neuron.2019.05.018
Padilla-Coreano N, Do-Monte FH, Quirk GJ (2012) A time-dependent role of midline thalamic nuclei in the retrieval of fear memory. Neuropharmacology 62(1):457–463. https://doi.org/10.1016/j.neuropharm.2011.08.037
Palmiter RD (2018) The parabrachial nucleus: CGRP neurons function as a general alarm. Trends Neurosci 41(5):280–293. https://doi.org/10.1016/j.tins.2018.03.007
Parsons MP, Li S, Kirouac GJ (2007) Functional and anatomical connection between the paraventricular nucleus of the thalamus and dopamine fibers of the nucleus accumbens. J Comp Neurol 500(6):1050–1063
Patthy A, Murai J, Hanics J, Pinter A, Zahola P, Hokfelt TGM, Harkany T, Alpar A (2021) Neuropathology of the brainstem to mechanistically understand and to treat Alzheimer’s disease. J Clin Med. https://doi.org/10.3390/jcm10081555
Paxinos G, Watson C (2009) The rat brain in stereotaxic coordinates, 6th edn. Elsevier Academic Press, San Diego
Penzo MA, Gao C (2021) The paraventricular nucleus of the thalamus: an integrative node underlying homeostatic behavior. Trends Neurosci. https://doi.org/10.1016/j.tins.2021.03.001
Penzo MA, Robert V, Tucciarone J, De Bundel D, Wang M, Van Aelst L, Darvas M, Parada LF, Palmiter RD, He M, Huang ZJ, Li B (2015) The paraventricular thalamus controls a central amygdala fear circuit. Nature 519(7544):455–459. https://doi.org/10.1038/nature13978
Pfaff D (2006) Brain arousal and information theory. Harvard University Press, Cambridge
Pfaff D, Ribeiro A, Matthews J, Kow LM (2008) Concepts and mechanisms of generalized central nervous system arousal. Ann N Y Acad Sci 1129:11–25
Phillipson OT, Bohn MC (1994) C1–3 adrenergic medullary neurones project to the paraventricular thalamic nucleus in the rat. Neurosci Lett 176(1):67–70
Phua SC, Tan YL, Kok AMY, Senol E, Chiam CJH, Lee CY, Peng Y, Lim ATJ, Mohammad H, Lim JX, Fu Y (2021) A distinct parabrachial-to-lateral hypothalamus circuit for motivational suppression of feeding by nociception. Sci Adv. https://doi.org/10.1126/sciadv.abe4323
Pliota P, Bohm V, Grossl F, Griessner J, Valenti O, Kraitsy K, Kaczanowska J, Pasieka M, Lendl T, Deussing JM, Haubensak W (2018) Stress peptides sensitize fear circuitry to promote passive coping. Mol Psychiatry. https://doi.org/10.1038/s41380-018-0089-2
Qiu MH, Chen MC, Fuller PM, Lu J (2016) Stimulation of the pontine parabrachial nucleus promotes wakefulness via extra-thalamic forebrain circuit nodes. Curr Biol 26(17):2301–2312. https://doi.org/10.1016/j.cub.2016.07.054
Ren S, Wang Y, Yue F, Cheng X, Dang R, Qiao Q, Sun X, Li X, Jiang Q, Yao J, Qin H, Wang G, Liao X, Gao D, Xia J, Zhang J, Hu B, Yan J, Wang Y, Xu M, Han Y, Tang X, Chen X, He C, Hu Z (2018) The paraventricular thalamus is a critical thalamic area for wakefulness. Science 362(6413):429–434. https://doi.org/10.1126/science.aat2512
Rinaman L (2011) Hindbrain noradrenergic A2 neurons: diverse roles in autonomic, endocrine, cognitive, and behavioral functions. Am J Physiol Regul Integr Comp Physiol 300(2):R222-235. https://doi.org/10.1152/ajpregu.00556.2010
Ritter S, Dinh TT, Li AJ (2006) Hindbrain catecholamine neurons control multiple glucoregulatory responses. Physiol Behav 89(4):490–500. https://doi.org/10.1016/j.physbeh.2006.05.036
Sandner G, Oberling P, Silveira MC, Di Scala G, Rocha B, Bagri A, Depoortere R (1993) What brain structures are active during emotions? Effects of brain stimulation elicited aversion on c-fos immunoreactivity and behavior. Behav Brain Res 58(1–2):9–18. https://doi.org/10.1016/0166-4328(93)90086-6
Saper CB, Loewy AD (1980) Efferent connections of the parabrachial nucleus in the rat. Brain Res 197(2):291–317
Saper CB, Lu J, Chou TC, Gooley J (2005) The hypothalamic integrator for circadian rhythms. Trends Neurosci 28(3):152–157. https://doi.org/10.1016/j.tins.2004.12.009
Sarhan M, Freund-Mercier MJ, Veinante P (2005) Branching patterns of parabrachial neurons projecting to the central extended amgydala: single axonal reconstructions. J Comp Neurol 491(4):418–442. https://doi.org/10.1002/cne.20697
Scammell TE, Arrigoni E, Lipton JO (2017) Neural circuitry of wakefulness and sleep. Neuron 93(4):747–765. https://doi.org/10.1016/j.neuron.2017.01.014
Schenberg LC, Povoa RM, Costa AL, Caldellas AV, Tufik S, Bittencourt AS (2005) Functional specializations within the tectum defense systems of the rat. Neurosci Biobehav Rev 29(8):1279–1298. https://doi.org/10.1016/j.neubiorev.2005.05.006
Schwarz LA, Miyamichi K, Gao XJ, Beier KT, Weissbourd B, DeLoach KE, Ren J, Ibanes S, Malenka RC, Kremer EJ, Luo L (2015) Viral-genetic tracing of the input-output organization of a central noradrenaline circuit. Nature 524(7563):88–92. https://doi.org/10.1038/nature14600
Shah T, Dunning JL, Contet C (2021) At the heart of the interoception network: influence of the parasubthalamic nucleus on autonomic functions and motivated behaviors. Neuropharmacology 204:108906. https://doi.org/10.1016/j.neuropharm.2021.108906
Shammah-Lagnado SJ, Costa MS, Ricardo JA (1992) Afferent connections of the parvocellular reticular formation: a horseradish peroxidase study in the rat. Neuroscience 50(2):403–425. https://doi.org/10.1016/0306-4522(92)90433-3
Shipp S (2017) The functional logic of corticostriatal connections. Brain Struct Funct 222(2):669–706. https://doi.org/10.1007/s00429-016-1250-9
Sofia Beas B, Gu X, Leng Y, Koita O, Rodriguez-Gonzalez S, Kindel M, Matikainen-Ankney BA, Larsen RS, Kravitz AV, Hoon MA, Penzo MA (2020) A ventrolateral medulla-midline thalamic circuit for hypoglycemic feeding. Nat Commun 11(1):6218. https://doi.org/10.1038/s41467-020-19980-7
Steinberg EE, Gore F, Heifets BD, Taylor MD, Norville ZC, Beier KT, Foldy C, Lerner TN, Luo L, Deisseroth K, Malenka RC (2020) Amygdala-midbrain connections modulate appetitive and aversive learning. Neuron 106(6):1026-1043 e1029. https://doi.org/10.1016/j.neuron.2020.03.016
Szymusiak R, Gvilia I, McGinty D (2007) Hypothalamic control of sleep. Sleep Med 8(4):291–301. https://doi.org/10.1016/j.sleep.2007.03.013
Takada M, Campbell KJ, Moriizumi T, Hattori T (1990) On the origin of the dopaminergic innervation of the paraventricular thalamic nucleus. Neurosci Lett 115(1):33–36
Takatori M, Nozaki S, Nakamura Y (1981) Control of trigeminal motoneurons exerted from bulbar reticular formation in the cat. Exp Neurol 72(1):122–140. https://doi.org/10.1016/0014-4886(81)90132-1
Thompson RH, Canteras NS, Swanson LW (1996) Organization of projections from the dorsomedial nucleus of the hypothalamus: a PHA-L study in the rat. J Comp Neurol 376(1):143–173
Tokita K, Inoue T, Boughter JD Jr (2009) Afferent connections of the parabrachial nucleus in C57BL/6J mice. Neuroscience 161(2):475–488. https://doi.org/10.1016/j.neuroscience.2009.03.046
Travers JB, DiNardo LA, Karimnamazi H (2000) Medullary reticular formation activity during ingestion and rejection in the awake rat. Exp Brain Res 130(1):78–92. https://doi.org/10.1007/s002219900223
Vankova M, Arluison M, Leviel V, Tramu G (1992) Afferent connections of the rat substantia nigra pars lateralis with special reference to peptide-containing neurons of the amygdalo-nigral pathway. J Chem Neuroanat 5(1):39–50. https://doi.org/10.1016/0891-0618(92)90032-l
Venner A, Todd WD, Fraigne J, Bowrey H, Eban-Rothschild A, Kaur S, Anaclet C (2019) Newly identified sleep-wake and circadian circuits as potential therapeutic targets. Sleep. https://doi.org/10.1093/sleep/zsz023
Vertes RP, Hoover WB (2008) Projections of the paraventricular and paratenial nuclei of the dorsal midline thalamus in the rat. J Comp Neurol 508(2):212–237
Wickersham IR, Lyon DC, Barnard RJ, Mori T, Finke S, Conzelmann KK, Young JA, Callaway EM (2007) Monosynaptic restriction of transsynaptic tracing from single, genetically targeted neurons. Neuron 53(5):639–647. https://doi.org/10.1016/j.neuron.2007.01.033
Xu Q, Wang DR, Dong H, Chen L, Lu J, Lazarus M, Cherasse Y, Chen GH, Qu WM, Huang ZL (2021) Medial parabrachial nucleus is essential in controlling wakefulness in rats. Front Neurosci 15:645877. https://doi.org/10.3389/fnins.2021.645877
Ye J, Veinante P (2019) Cell-type specific parallel circuits in the bed nucleus of the stria terminalis and the central nucleus of the amygdala of the mouse. Brain Struct Funct 224(3):1067–1095. https://doi.org/10.1007/s00429-018-01825-1
Zerari-Mailly F, Pinganaud G, Dauvergne C, Buisseret P, Buisseret-Delmas C (2001) Trigemino-reticulo-facial and trigemino-reticulo-hypoglossal pathways in the rat. J Comp Neurol 429(1):80–93. https://doi.org/10.1002/1096-9861(20000101)429:1%3c80::aid-cne7%3e3.0.co;2-l
Zhang X, van den Pol AN (2017) Rapid binge-like eating and body weight gain driven by zona incerta GABA neuron activation. Science 356(6340):853–859. https://doi.org/10.1126/science.aam7100
Zhu Y, Nachtrab G, Keyes PC, Allen WE, Luo L, Chen X (2018) Dynamic salience processing in paraventricular thalamus gates associative learning. Science 362(6413):423–429. https://doi.org/10.1126/science.aat0481
Zhu YB, Wang Y, Hua XX, Xu L, Liu MZ, Zhang R, Liu PF, Li JB, Zhang L, Mu D (2022) PBN-PVT projections modulate negative affective states in mice. Elife. https://doi.org/10.7554/eLife.68372
Funding
Canadian Institutes of Health Research (CIHR) PJT-168855 (to G.J.K.).
Author information
Authors and Affiliations
Contributions
GJK and SL contributed to the study and design, the experiments and analysis were carried out by SL and SHL, GJK wrote the manuscript and SL prepared the figures. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Conflict of interest
No conflict to declare.
Ethical approval
Approved by the University of Manitoba using the Canadian Council on Animal Care guidelines.
Consent to participate
Not applicable.
Consent for publication
All authors consent to the publication of the manuscript.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Kirouac, G.J., Li, S. & Li, S. Convergence of monosynaptic inputs from neurons in the brainstem and forebrain on parabrachial neurons that project to the paraventricular nucleus of the thalamus. Brain Struct Funct 227, 2409–2437 (2022). https://doi.org/10.1007/s00429-022-02534-6
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00429-022-02534-6