This review addresses studies of the functional connectivity of the brain in the resting state after stroke and one of its sequelae – aphasia. Neuroimaging methods have recorded extensive functional neural networks in the brain responsible for various functions, particularly speech. Activity in these networks can be recorded even in the absence of any tasks – in the resting state – which overcomes a whole series of methodological limitations associated with studies of this type. It becomes possible to study neural networks in patients with poststroke aphasia as models of deviations in various speech functions. This review presents existing research on the organization of speech-related neural networks and their reorganization in poststroke aphasia.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Achard, S. and Bullmore, E., “Efficiency and cost of economical brain functional networks,” PLoS Comput. Biol., 3, e17 (2007).
Agosta, F., Galantucci, S., Valsasina, P., et al., “Disrupted brain connectome in semantic variant of primary progressive aphasia,” Neurobiol. Aging, 35, 2646–2655 (2014).
Albert, N. B., Robertson, E. M., and Miall, R. C., “The resting human brain and motor learning,” Curr. Biol., 19, 1023–1027 (2009).
Anand, A., Li, Y., Wang, Y., et al., “Activity and connectivity of brain mood regulating circuit in depression: a functional magnetic resonance study,” Biol. Psychiatry, 57, 1079–1088 (2005).
Bartolomeo, P., “The quest for the ‘critical lesion site’ in cognitive deficits: problems and perspectives,” Cortex, 47, 1010–1012 (2011).
Bartolomeo, P., Thiebaut de Schotten, M., and Doricchi, F., “Left unilateral neglect as a disconnection syndrome,” Cereb. Cortex, 17, 2479–2490 (2007).
Biswal, B. B., Mennes, M., Zuo, X. N., et al., “Toward discovery science of human brain function,” Proc. Natl. Acad. Sci. USA, 107, 4734–9 (2010).
Biswal, B., Yetkin, F. Z., Haughton, V. M., and Hyde, J. S., “Functional connectivity in the motor cortex of resting human brain using,” Magn. Reson. Med., 34, 537–541 (1995).
Bluhm, R. L., Miller, J., Lanius, R. A., et al., “Spontaneous low-frequency fluctuations in the BOLD signal in schizophrenic patients: anomalies in the default network,” Schizophr. Bull., 33, 1004–12 (2007).
Bonilha, L., Gleichgerrcht, E., Nesland, T., et al., “Success of anomia treatment in aphasia is associated with preserved architecture of global and left temporal lobe structural networks,” Neurorehabil. Neural Repair, 30, No. 3, 266–279 (2015).
Bonilha, L., Nesland, T., Rorden, C., et al., “Mapping remote subcortical ramifications of injury after ischemic strokes,” Behav. Neurol., 2014, 215380 (2014).
Brown, C. E., Aminoltejari, K., Erb, H., et al., “In vivo voltage-sensitive dye imaging in adult mice reveals that somatosensory maps lost to stroke are replaced over weeks by new structural and functional circuits with prolonged modes of activation within both the peri-infarct zone and distant sites,” J. Neurosci., 29, 1719–34 (2009).
Cao Q, Zang, Y., Sun, L., et al., “Abnormal neural activity in children with attention deficit hyperactivity disorder: a resting-state functional magnetic resonance imaging study,” Neuroreport, 17, 1033–6 (2006).
Cheng, H. L., Lin, C. J., Soong, B. W., et al., “Impairments in cognitive function and brain connectivity in severe asymptomatic carotid stenosis,” Stroke, 43, 2567–73 (2012).
Cherkassky, V. L., Kana, R. K., Keller, T. A., and Just, M. A., “Functional connectivity in a baseline resting-state network in autism,” Neuroreport, 17, 1687–90 (2006).
Cole, D., Smith, S., and Beckmann, C., “Advances and pitfalls in the analysis and interpretation of resting-state FMRI data,” Front. Syst. Neurosci. (2010), www.ncbi.nlm.nih.gov.sci-hub.org/pmc/articles/PMC2854531/, acc. 02.09.2015.
Damoiseaux, J. S., Rombouts, S., Barkhof, F., et al., “Consistent resting- state networks across healthy subjects,” Proc. Natl. Acad. Sci. USA, 103, 13848–13853 (2006).
De Luca, M., Beckmann, C. F., De Stefano, N., et al., “fMRI resting state networks define distinct modes of long-distance interactions in the human brain,” Neuroimage, 29, 1359–1367 (2006).
Doricchi, F., Thiebaut de Schotten, M., Tomaiuolo, F., and Bartolomeo, P., “White matter (dis) connections and gray matter (dys) functions in visual neglect: gaining insights into the brain networks of spatial awareness,” Cortex, 44, 983–95 (2008).
Dosenbach, N. U. F., Fair, D. A., Miezin, F. M., et al., “Distinct brain networks for adaptive and stable task control in humans,” Proc. Natl. Acad. Sci. USA, 104, 11073–11078 (2007).
Forkel, S. J., De Schotten, M. T., Dell’Acqua, F., et al., “Anatomical predictors of aphasia recovery: A tractography study of bilateral perisylvian language networks,” Brain, 137, 2027–2039 (2014).
Fox, M. D., Snyder, A. Z., Vincent, J. L., et al., “The human brain is intrinsically organized into dynamic, anticorrelated functional networks,” Proc. Natl. Acad. Sci. USA, 102, 9673–8 (2005).
Friston, K. J., Harrison, L., and Penny, W., “Dynamic causal modelling,” Neuroimage, 19, No. 4, 1273–1302 (2003).
Friston, K., “Causal modelling and brain connectivity in functional magnetic resonance imaging,” PLoS Biol., 7, No. 2 (2009).
Fukunaga, M., Horovitz, S. G., van Gelderen, P., et al., “Large-amplitude, spatially correlated fluctuations in BOLD fMRI signals during extended rest and early sleep stages,” Magn. Reson. Imaging, 24, 979–92 (2006).
Gillebert, C. R., Mantini, D., Thijs, V., et al., “Lesion evidence for the critical role of the intraparietal sulcus in spatial attention,” Brain, 134, 1694–709 (2011).
Golestani, A.-M., Tymchuk, S., Demchuk, A., and Goodyear, B. G., “Longitudinal evaluation of resting-state FMRI after acute stroke with hemiparesis,” Neurorehabil. Neural Repair, 27, 153–163 (2013).
Greicius, M. D., Srivastava, G., Reiss, A. L., and Menon, V., “Default-mode network activity distinguishes Alzheimer’s disease from healthy aging: evidence from functional MRI,” Proc. Natl. Acad. Sci. USA, 101, 4637–4642 (2004).
Gusnard, D. A., Raichle, M. E., MacLeod, A. M., et al., “A default mode of brain function,” Proc. Natl. Acad. Sci. USA, 98, 676–682 (2001).
Harvey, D. Y., Wei, T., Ellmore, T. M., et al., “Neuropsychological evidence for the functional role of the uncinate fasciculus in semantic control,” Neuropsychologia, 51, 789–801 (2013).
He, Y., Chen, Z. J., and Evans, A. C., “Small-world anatomical networks in the human brain revealed by cortical thickness from MRI,” Cereb. Cortex, 17, 2407–2419 (2007).
Humphreys, G. F., Hoffman, P., Visser, M., et al., “Establishing task-and modality-dependent dissociations between the semantic and default mode networks,” Proc. Natl. Acad. Sci. USA, 112, 7857–62 (2015).
Irimia, A., and van Horn, J. D., “Systematic network lesioning reveals the core white matter scaffold of the human brain,” Front. Hum. Neurosci., 8, 51 (2014).
Jarso, S., Li, M., Faria, A., et al., “Distinct mechanisms and timing of language recovery after stroke,” Cogn. Neuropsychol., 30, No. 7–8, 454–475 (2013).
Johnston, D. G., Denizet, M., Mostany, R., and Portera-Cailliau, C., “Chronic in vivo imaging shows no evidence of dendritic plasticity or functional remapping in the contralesional cortex after stroke,” Cereb. Cortex, 23, 751–762 (2013).
Kalénine, S., Buxbaum, L. J., and Coslett, H. B., “Critical Brain regions for action recognition: lesion symptom mapping in left hemisphere stroke,” Brain, 133, 3269–80 (2010).
Karnath, H.-O., Rorden, C., and Ticini, L. F., “Damage to white matter fiber tracts in acute spatial neglect,” Cereb. Cortex, 19, 2331–7 (2009).
Kiran, S., Meier, E., Kapse, K., and Glynn, P., “Integration demands modulate effective connectivity in a fronto-temporal network for contextual sentence integration,” Neuroimage, 147, 812–24 (2017).
Kiviniemi, V., Kantola, J.-H., Jauhiainen, J., et al., “Independent component analysis of nondeterministic fMRI signal sources,” Neuroimage, 19, 253–260 (2003).
Lassalle-Lagadec, S., Sibon, I., Dilharreguy, B., et al., “Subacute default mode network dysfunction in the prediction of post-stroke depression severity,” Radiology, 264, 218–224 (2012).
Lebedeva, N. N., Mayorova, L. A., Karimova, E. D., and Kazimirova, E. A., “The connectome: neurophysiology, advances, and perspectives,” Usp. Fiziol. Nauk., 46, 17–45 (2015).
Liang, M., Zhou, Y., Jiang, T., et al., “Widespread functional disconnectivity in schizophrenia with resting-state functional magnetic resonance imaging,” Neuroreport, 17, 209–13 (2006).
Lim, J. S. and Kang, D. W., “Stroke connectome and its implications for cognitive and behavioral sequela of stroke,” J. Stroke, 17, 256–267 (2015).
Liu, Y., Liu, Y., Yu, C., et al., “Whole brain functional connectivity in the early blind,” Brain, 130, 2085–2096 (2007).
Marangolo, P., Fiori, V., Sabatini, U., et al., “Bilateral transcranial direct current stimulation language treatment enhances functional connectivity in the left hemisphere: preliminary data from aphasia,” J. Cogn. Neurosci., 28, 724–738 (2016).
Mostany, R., Chowdhury, T. G., Johnston, D. G., et al., “Local hemodynamics dictate long-term dendritic plasticity in peri-infarct cortex,” J. Neurosci., 30, 14116–14126 (2010).
Murphy, T. H., Li, P., Betts, K., and Liu, R., “Two-photon imaging of stroke onset in vivo reveals that NMDA-receptor independent ischemic depolarization is the major cause of rapid reversible damage to dendrites and spines,” J. Neurosci., 28, 1756–1772 (2008).
Nair, V. A., Young, B. M., La, C., et al., “Functional connectivity changes in the language network during stroke recovery,” Ann. Clin. Transl. Neurology, 2, 185–195 (2015).
Peltier, S. J., Kerssens, C., Hamann, S. B., et al., “Functional connectivity changes with concentration of sevoflurane anesthesia,” Neuroreport, 16, 285–288 (2005).
Rehme, A. K., Fink, G. R., Von Cramon, D. Y., and Grefkes, C., “The role of the contralesional motor cortex for motor recovery in the early days after stroke assessed with longitudinal fMRI,” Cereb. Cortex, 21, 756–768 (2011).
Risher, W. C., Croom, D., and Kirov, S. A., “Persistent astroglial swelling accompanies rapid reversible dendritic injury during stroke-induced spreading depolarizations,” Glia, 60, 1709–1720 (2012).
Rosazza, C. and Minati, L., “Resting-state brain networks: Literature review and clinical applications,” Neurol. Sci., 32, 773–785 (2011).
Saleh, S., Adamovich, S. V., and Tunik, E., “Resting state functional connectivity and task-related effective connectivity changes after upper extremity rehabilitation: a pilot study,” Conf. Proc. IEEE Eng. Med. Biol. Soc., 2012, 4559–4562 (2012).
Saur, D., Lange, R., Baumgaertner, A., et al., “Dynamics of language reorganization after stroke,” Brain, 129, 1371–1384 (2006).
Sebastian, R., Long, C., Purcell, J. J., et al., “Imaging network level language recovery after left PCA stroke,” Restor. Neurol. Neurosci., 34, No. 4, 4783–489 (2016), doi: https://doi.org/10.3233/RNN-150621.
Smith, D. V., Utevsky, A. V., Bland, A. R., et al., “Characterizing individual differences in functional connectivity using dual-regression and seed-based approaches,” Neuroimage, 95, 1–12 (2014).
Smith, S. M., Fox, P. T., Miller, K. L., et al., “Correspondence of the brain’s functional architecture during activation and rest,” Proc. Natl. Acad. Sci. USA, 106, 13040–13045 (2009).
Sonty, S. P., Mesulam, M.-M., Weintraub, S., et al., “Altered effective connectivity within the language network in primary progressive Aphasia,” J. Neurosci., 27, 1334–1345 (2007).
Sporns, O., “Brain connectivity,” Scholarpedia, 2, 4695 (2007).
Tian L, Jiang, T., Wang, Y., et al., “Altered resting-state functional connectivity patterns of anterior cingulate cortex in adolescents with attention deficit hyperactivity disorder,” Neurosci. Lett., 400, 39–43 (2006).
Urbanski, M., Thiebaut de Schotten, M., Rodrigo, S., et al., “DTI-MR tractography of white matter damage in stroke patients with neglect,” Exp. Brain Res., 208, 491–505 (2011).
van Dellen, E., Hillebrand, A., Douw, L., et al., “Local polymorphic delta activity in cortical lesions causes global decreases in functional connectivity,” Neuroimage, 83, 524–532 (2013).
van den Heuvel, M. P., Stam, C. J., Kahn, R. S., and Hulshoff Pol, H. E., “Efficiency of functional brain networks and intellectual performance,” J. Neurosci., 29, 7619–7624 (2009).
van Hees, S., McMahon, K., Angwin, A., et al., “A functional MRI study of the relationship between naming treatment outcomes and resting state functional connectivity in post-stroke aphasia,” Hum. Brain Mapp., 35, 3919–3931 (2014).
Veroude, K., Norris, D. G., Shumskaya, E., et al., “Functional connectivity between brain regions involved in learning words of a new language,” Brain Lang., 113, 21–27 (2010).
Vincent, J. L., Patel, G. H., Fox, M. D., et al., “Intrinsic functional architecture in the anaesthetized monkey brain,” Nature, 447, 83–86 (2007).
Vitali, P., Tettamanti, M., Abutalebi, J., et al., “Generalization of the effects of phonological training for anomia using structural equation modelling: a multiple single-case study. Neurocase, 16, No. 2, 93–105 (2010).
Waites, A. B., Briellmann, R. S., Saling, M. M., et al., “Functional connectivity networks are disrupted in left temporal lobe epilepsy,” Ann. Neurol., 59, 335–343 (2006).
Wang L, Yu, C., Chen, H., et al., “Dynamic functional reorganization of the motor execution network after stroke,” Brain, 133, 1224–1238 (2010).
Wang, K., Jiang, T., Liang, M., et al., “Discriminative analysis of early Alzheimer’s disease based on two intrinsically anti-correlated networks with resting-state fMRI,” Med. Image Comput. Comput. Assist. Interv., 9, 340–347 (2006).
Wang, W., Wang, M., Liu, H., et al., “Functional connectivity in ischemia stroke motor aphasia patients during resting state,” Zhonghua Yi Xue Za Zhi, 94, 2135–2138 (2014).
Westlake, K. P., Hinkley, L. B., Bucci, M., et al., “Resting state α-band functional connectivity and recovery after stroke,” Exp. Neurol., 237, 160–169 (2012).
Yang, M., Li, J., Li, Y., et al., “Altered intrinsic regional activity and interregional functional connectivity in post-stroke aphasia,” Sci. Rep., 6, 24803 (2016a).
Yang, M., Li, J., Yao, D., and Chen, H., “Disrupted intrinsic local synchronization in poststroke aphasia,” Medicine (Baltimore), 95, e3101 (2016b).
Yeh, F.-C., Tang, P.-F., and Tseng, W.-Y. I., “Diffusion MRI connectometry automatically reveals affected fiber pathways in individuals with chronic stroke,” Neuroimage Clin., 2, 912–921 (2013).
Zhang, P., Xu, Q., Dai, J., et al., “Dysfunction of affective network in post ischemic stroke depression: a resting-state functional magnetic resonance imaging study,” Biomed. Res. Int., 2014, 846–830 (2014).
Zhou, Y., Liang, M., Tian, L., et al., “Functional disintegration in paranoid schizophrenia using resting-state fMRI,” Schizophr. Res., 97, 194–205 (2007).
Zhu, D., Chang, J., Freeman, S., et al., “Changes of functional connectivity in the left frontoparietal network following aphasic stroke,” Front. Behav. Neurosci., 8, 167 (2014).
Zito, G., Luders, E., Tomasevic, L., et al., “Inter-hemispheric functional connectivity changes with corpus callosum morphology in multiple sclerosis,” Neuroscience, 266, 47–55 (2014).
Author information
Authors and Affiliations
Corresponding author
Additional information
Translated from Zhurnal Vysshei Nervnoi Deyatel’nosti imeni I. P. Pavlova, Vol. 68, No. 2, pp. 141–151, March–April, 2018.
Rights and permissions
About this article
Cite this article
Mayorova, L.A., Alferova, V.V., Kuptsova, S.V. et al. Functional and Anatomical Connectivity of the Brain in Poststroke Aphasia. Neurosci Behav Physi 49, 679–685 (2019). https://doi.org/10.1007/s11055-019-00787-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11055-019-00787-z