Abstract
Transcranial in vivo imaging of rodent cortical activity during sensory events is a fast, minimally invasive and reliable way to measure the nature and location of neuronal responses, allowing the creation of topographic maps and assessment of how the maps change over different time scales. In this chapter, we describe a straightforward and robust method of transcranial in vivo imaging of auditory cortical responses after sound stimulation in C57BL6J GCaMP6s transgenic mice. We aim to describe to the reader some theoretical background of this imaging method and, most importantly, practical guidelines on how to apply it in their own laboratory setting, including the necessary equipment along with common qualitative and quantitative methods of analysis. Although this chapter specifically focuses on the use of C57BL6J-Tg(Thy1-GCaMP6s)GP4.3 transgenic mouse line in auditory research, the method can be further modified for visual, motor, and somatosensory research, as well as the areas of clinical and translational neuroscience for studying mouse models of neurological diseases.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Harris-Warrick RM, Marder E (1991) Modulation of neural networks for behavior. Annu Rev Neurosci 14(1):39–57
Enquist M, Ghirlanda S (2013) Neural networks and animal behavior. Princeton University Press, Princeton, NJ
Hogan JA (2015) A framework for the study of behavior. Behav Processes 117:105–113. https://doi.org/10.1016/j.beproc.2014.05.003
Reinert KC, Gao W, Chen G, Ebner TJ (2007) Flavoprotein autofluorescence imaging in the cerebellar cortex in vivo. J Neurosci Res 85(15):3221–3232
Husson TR, Mallik AK, Zhang JX, Issa NP (2007) Functional imaging of primary visual cortex using flavoprotein autofluorescence. J Neurosci 27(32):8665–8675
Bandyopadhyay S, Shamma SA, Kanold PO (2010) Dichotomy of functional organization in the mouse auditory cortex. Nat Neurosci 13(3):361–368. https://doi.org/10.1038/nn.2490
Lippert MT, Takagaki K, Xu W, Huang X, Wu JY (2007) Methods for voltage-sensitive dye imaging of rat cortical activity with high signal-to-noise ratio. J Neurophysiol 98(1):502–512. https://doi.org/10.1152/jn.01169.2006
Masino S, Kwon M, Dory Y, Frostig R (1993) Characterization of functional organization within rat barrel cortex using intrinsic signal optical imaging through a thinned skull. Proc Natl Acad Sci U S A 90(21):9998–10002
Kalatsky VA, Stryker MP (2003) New paradigm for optical imaging: temporally encoded maps of intrinsic signal. Neuron 38(4):529–545
Tohmi M, Takahashi K, Kubota Y, Hishida R, Shibuki K (2009) Transcranial flavoprotein fluorescence imaging of mouse cortical activity and plasticity. J Neurochem 109(Suppl 1):3–9. https://doi.org/10.1111/j.1471-4159.2009.05926.x
Hackett TA, Barkat TR, O’Brien BM, Hensch TK, Polley DB (2011) Linking topography to tonotopy in the mouse auditory thalamocortical circuit. J Neurosci 31(8):2983–2995
Kanold PO, Nelken I, Polley DB (2014) Local versus global scales of organization in auditory cortex. Trends Neurosci 37(9):502–510. https://doi.org/10.1016/j.tins.2014.06.003
Gardner JL, Merriam EP, Movshon JA, Heeger DJ (2008) Maps of visual space in human occipital cortex are retinotopic, not spatiotopic. J Neurosci 28(15):3988–3999
Wang Q, Burkhalter A (2007) Area map of mouse visual cortex. J Comp Neurol 502(3):339–357
Kaas JH, Nelson RJ, Sur M, Lin C-S, Merzenich MM (1979) Multiple representations of the body within the primary somatosensory cortex of primates. Science 204(4392):521–523
Krubitzer L, Sesma M, Kaas J (1986) Microelectrode maps, myeloarchitecture, and cortical connections of three somatotopically organized representations of the body surface in the parietal cortex of squirrels. J Comp Neurol 250(4):403–430
Merzenich MM, Kaas JH, Roth GL (1976) Auditory cortex in the grey squirrel: tonotopic organization and architectonic fields. J Comp Neurol 166(4):387–401
Hellweg FC, Koch R, Vollrath M (1977) Representation of the cochlea in the neocortex of guinea pigs. Exp Brain Res 29(3):467–474. https://doi.org/10.1007/bf00236184
Merzenich MM, Knight PL, Roth GL (1975) Representation of cochlea within primary auditory cortex in the cat. J Neurophysiol 38(2):231–249
Suga N, Jen P (1976) Disproportionate tonotopic representation for processing CF-FM sonar signals in the mustache bat auditory cortex. Science 194(4264):542–544
Morel A, Kaas JH (1992) Subdivisions and connections of auditory cortex in owl monkeys. J Comp Neurol 318(1):27–63. https://doi.org/10.1002/cne.903180104
Frostig RD (2009) In vivo optical imaging of brain function. CRC Press, Boca Raton, FL
Turley J, Zalewska K, Nilsson M, Walker F, Johnson S (2017) An analysis of signal processing algorithm performance for cortical intrinsic optical signal imaging and strategies for algorithm selection. Sci Rep 7:7198
Kubota Y, Kamatani D, Tsukano H, Ohshima S, Takahashi K, Hishida R, Kudoh M, Takahashi S, Shibuki K (2008) Transcranial photo-inactivation of neural activities in the mouse auditory cortex. Neurosci Res 60(4):422–430. https://doi.org/10.1016/j.neures.2007.12.013
Kerr JN, Greenberg D, Helmchen F (2005) Imaging input and output of neocortical networks in vivo. Proc Natl Acad Sci U S A 102(39):14063–14068
Sato TR, Gray NW, Mainen ZF, Svoboda K (2007) The functional microarchitecture of the mouse barrel cortex. PLoS Biol 5(7):e189
Peterka DS, Takahashi H, Yuste R (2011) Imaging voltage in neurons. Neuron 69(1):9–21. https://doi.org/10.1016/j.neuron.2010.12.010
Rickgauer JP, Deisseroth K, Tank DW (2014) Simultaneous cellular-resolution optical perturbation and imaging of place cell firing fields. Nat Neurosci 17(12):1816–1824. https://doi.org/10.1038/nn.3866
Issa JB, Haeffele BD, Agarwal A, Bergles DE, Young ED, Yue DT (2014) Multiscale optical Ca 2+ imaging of tonal organization in mouse auditory cortex. Neuron 83(4):944–959
Akerboom J, Chen TW, Wardill TJ, Tian L, Marvin JS, Mutlu S, Calderon NC, Esposti F, Borghuis BG, Sun XR, Gordus A, Orger MB, Portugues R, Engert F, Macklin JJ, Filosa A, Aggarwal A, Kerr RA, Takagi R, Kracun S, Shigetomi E, Khakh BS, Baier H, Lagnado L, Wang SS, Bargmann CI, Kimmel BE, Jayaraman V, Svoboda K, Kim DS, Schreiter ER, Looger LL (2012) Optimization of a GCaMP calcium indicator for neural activity imaging. J Neurosci 32(40):13819–13840. https://doi.org/10.1523/JNEUROSCI.2601-12.2012
Zhao Y, Araki S, Wu J, Teramoto T, Chang Y-F, Nakano M, Abdelfattah AS, Fujiwara M, Ishihara T, Nagai T (2011) An expanded palette of genetically encoded Ca2+ indicators. Science 333(6051):1888–1891
Looger LL, Griesbeck O (2012) Genetically encoded neural activity indicators. Curr Opin Neurobiol 22(1):18–23. https://doi.org/10.1016/j.conb.2011.10.024
Grewe BF, Langer D, Kasper H, Kampa BM, Helmchen F (2010) High-speed in vivo calcium imaging reveals neuronal network activity with near-millisecond precision. Nat Methods 7(5):399–405
Rose T, Goltstein PM, Portugues R, Griesbeck O (2014) Putting a finishing touch on GECIs. Front Mol Neurosci 7:88. https://doi.org/10.3389/fnmol.2014.00088
Chen Q, Cichon J, Wang W, Qiu L, Lee SJ, Campbell NR, Destefino N, Goard MJ, Fu Z, Yasuda R, Looger LL, Arenkiel BR, Gan WB, Feng G (2012) Imaging neural activity using Thy1-GCaMP transgenic mice. Neuron 76(2):297–308. https://doi.org/10.1016/j.neuron.2012.07.011
Grienberger C, Konnerth A (2012) Imaging calcium in neurons. Neuron 73(5):862–885. https://doi.org/10.1016/j.neuron.2012.02.011
Chen TW, Wardill TJ, Sun Y, Pulver SR, Renninger SL, Baohan A, Schreiter ER, Kerr RA, Orger MB, Jayaraman V, Looger LL, Svoboda K, Kim DS (2013) Ultrasensitive fluorescent proteins for imaging neuronal activity. Nature 499(7458):295–300. https://doi.org/10.1038/nature12354
Dana H, Chen T-W, Hu A, Shields BC, Guo C, Looger LL, Kim DS, Svoboda K (2014) Thy1-GCaMP6 transgenic mice for neuronal population imaging in vivo. PLoS One 9(9):e108697
Ratzlaff EH, Grinvald A (1991) A tandem-lens epifluorescence macroscope: hundred-fold brightness advantage for wide-field imaging. J Neurosci Methods 36(2):127–137
Polley DB, Read HL, Storace DA, Merzenich MM (2007) Multiparametric auditory receptive field organization across five cortical fields in the albino rat. J Neurophysiol 97(5):3621–3638. https://doi.org/10.1152/jn.01298.2006
Joachimsthaler B, Uhlmann M, Miller F, Ehret G, Kurt S (2014) Quantitative analysis of neuronal response properties in primary and higher-order auditory cortical fields of awake house mice (Mus musculus). Eur J Neurosci 39(6):904–918. https://doi.org/10.1111/ejn.12478
Acknowledgments
The research was supported by research grant DC013073 from the National Institutes of Health.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Science+Business Media, LLC, part of Springer Nature
About this protocol
Cite this protocol
Yudintsev, G., Lee, C.M., Asilador, A.R., Llano, D.A. (2020). Guide to Transcranial Imaging of Sound-Evoked Activity in the Auditory Cortex of GCaMP6s Mice In Vivo. In: Wright, N. (eds) Basic Neurobiology Techniques . Neuromethods, vol 152. Humana, New York, NY. https://doi.org/10.1007/978-1-4939-9944-6_3
Download citation
DOI: https://doi.org/10.1007/978-1-4939-9944-6_3
Published:
Publisher Name: Humana, New York, NY
Print ISBN: 978-1-4939-9943-9
Online ISBN: 978-1-4939-9944-6
eBook Packages: Springer Protocols