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Altered static and dynamic voxel-mirrored homotopic connectivity in subacute stroke patients: a resting-state fMRI study

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Abstract

Sixty-four subacute stroke patients and 55 age-matched healthy controls (HCs) underwent a resting-state functional magnetic resonance imaging scan using an echo-planar imaging sequence and high-resolution sagittal T1-weighted images using a three-dimensional magnetization-prepared rapid gradient echo sequence. Static and dynamic voxel-mirrored homotopic connectivity (VMHC) was computed, respectively. The relationships between the clinical measures, including National Institutes of Health Stroke Scale (NIHSS), illness duration, Fugl-Meyer assessment for upper and lower extremities (FMA-total) and size of lesion volume, and the static/ dynamic VMHC variability alterations in stroke patients were calculated. The stroke patients showed significantly increased static VMHC in the corpus callosum, middle occipital gyrus and inferior parietal gyrus, and decreased static VMHC in the inferior temporal gyrus and precentral gyrus (PreCG) compared with those of HCs. For dynamic VMHC variability, increased dynamic VMHC variability in the inferior temporal gyrus and PreCG was detected in stroke patients relative to that in HCs. Correlation analysis exhibited that significant negative correlations were shown between the FMA scores and dynamic VMHC variability in PreCG. The present study suggests that combined static and dynamic VMHC could be helpful to evaluate the motor function of stroke patients and understand the intrinsic differences of inter-hemispheric coordination after stroke.

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References

  • Allen, E. A., Damaraju, E., Plis, S. M., Erhardt, E. B., Eichele, T., & Calhoun, V. D. (2014). Tracking whole-brain connectivity dynamics in the resting state. Cerebral Cortex, 24(3), 663–676.

    PubMed  Google Scholar 

  • Archer, D. B., Misra, G., Patten, C., & Coombes, S. A. (2016). Microstructural properties of premotor pathways predict visuomotor performance in chronic stroke. Human Brain Mapping, 37(6), 2039–2054.

    PubMed  PubMed Central  Google Scholar 

  • Ashburner, J. (2007). A fast diffeomorphic image registration algorithm. Neuroimage, 38(1), 95–113.

    PubMed  Google Scholar 

  • Brown, C. E., Li, P., Boyd, J. D., Delaney, K. R., & Murphy, T. H. (2007). Extensive turnover of dendritic spines and vascular remodeling in cortical tissues recovering from stroke. Journal of Neuroscience, 27(15), 4101–4109.

    CAS  PubMed  Google Scholar 

  • Burton, H., Dixit, S., Litkowski, P., & Wingert, J. R. (2009). Functional connectivity for somatosensory and motor cortex in spastic diplegia. Somatosensory and Motor Research, 26(4), 90–104.

    PubMed  Google Scholar 

  • Calhoun, V. D., Miller, R., Pearlson, G., & Adali, T. (2014). The chronnectome: Time-varying connectivity networks as the next frontier in fMRI data discovery. Neuron, 84(2), 262–274.

    CAS  PubMed  PubMed Central  Google Scholar 

  • Caminiti, R., Ghaziri, H., Galuske, R., Hof, P. R., & Innocenti, G. M. (2009). Evolution amplified processing with temporally dispersed slow neuronal connectivity in primates. Proceedings of the National Academy of Sciences of the United States of America, 106(46), 19551–19556.

    CAS  PubMed  PubMed Central  Google Scholar 

  • Carter, A. R., Patel, K. R., Astafiev, S. V., Snyder, A. Z., Rengachary, J., Strube, M. J., Pope, A., Shimony, J. S., Lang, C. E., Shulman, G. L., & Corbetta, M. (2012). Upstream dysfunction of somatomotor functional connectivity after corticospinal damage in stroke. Neurorehabilitation and Neural Repair, 26(1), 7–19.

    PubMed  Google Scholar 

  • Caspers, S., Eickhoff, S. B., Geyer, S., Scheperjans, F., Mohlberg, H., Zilles, K., et al. (2008). The human inferior parietal lobule in stereotaxic space. Brain Structure and Function, 212(6), 481–495.

    PubMed  Google Scholar 

  • Chen, J., Sun, D., Shi, Y., Jin, W., Wang, Y., Xi, Q., & Ren, C. (2018a). Alterations of static functional connectivity and dynamic functional connectivity in motor execution regions after stroke. Neuroscience Letters, 686, 112–121.

    CAS  PubMed  Google Scholar 

  • Chen, J., Sun, D., Shi, Y., Jin, W., Wang, Y., Xi, Q., et al. (2018b). Dynamic alterations in spontaneous neural activity in multiple brain networks in subacute stroke patients: A resting-state fMRI study. Frontier in Neurosciences, 12, 994.

    Google Scholar 

  • Chumbley, J., Worsley, K., Flandin, G., & Friston, K. (2010). Topological FDR for neuroimaging. Neuroimage, 49(4), 3057–3064.

    CAS  PubMed  PubMed Central  Google Scholar 

  • Deiber, M. P., Honda, M., Ibanez, V., Sadato, N., & Hallett, M. (1999). Mesial motor areas in self-initiated versus externally triggered movements examined with fMRI: Effect of movement type and rate. Journal of Neurophysiology, 81(6), 3065–3077.

    CAS  PubMed  Google Scholar 

  • Doron, K. W., & Gazzaniga, M. S. (2008). Neuroimaging techniques offer new perspectives on callosal transfer and interhemispheric communication. Cortex, 44(8), 1023–1029.

    PubMed  Google Scholar 

  • Garrett, D. D., Kovacevic, N., McIntosh, A. R., & Grady, C. L. (2013). The modulation of BOLD variability between cognitive states varies by age and processing speed. Cerebral Cortex, 23(3), 684–693.

    PubMed  Google Scholar 

  • Gonzalez-Castillo, J., Hoy, C. W., Handwerker, D. A., Robinson, M. E., Buchanan, L. C., Saad, Z. S., & Bandettini, P. A. (2015). Tracking ongoing cognition in individuals using brief, whole-brain functional connectivity patterns. Proceedings of the National Academy of Sciences of the United States of America, 112(28), 8762–8767.

    CAS  PubMed  PubMed Central  Google Scholar 

  • Grefkes, C., & Fink, G. R. (2011). Reorganization of cerebral networks after stroke: New insights from neuroimaging with connectivity approaches. Brain, 134(Pt 5), 1264–1276.

    PubMed  PubMed Central  Google Scholar 

  • Grefkes, C., & Fink, G. R. (2014). Connectivity-based approaches in stroke and recovery of function. Lancet Neurology, 13(2), 206–216.

    PubMed  Google Scholar 

  • Grefkes, C., Nowak, D. A., Eickhoff, S. B., Dafotakis, M., Kust, J., Karbe, H., et al. (2008). Cortical connectivity after subcortical stroke assessed with functional magnetic resonance imaging. Annals of Neurology, 63(2), 236–246.

    PubMed  Google Scholar 

  • Guo, W., Liu, F., Dai, Y., Jiang, M., Zhang, J., Yu, L., Long, L., Chen, H., Gao, Q., & Xiao, C. (2013a). Decreased interhemispheric resting-state functional connectivity in first-episode, drug-naive major depressive disorder. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 41, 24–29.

    Google Scholar 

  • Guo, W., Liu, F., Xue, Z., Gao, K., Liu, Z., Xiao, C., Chen, H., & Zhao, J. (2013b). Decreased interhemispheric coordination in treatment-resistant depression: A resting-state fMRI study. PLoS One, 8(8), e71368.

    CAS  PubMed  PubMed Central  Google Scholar 

  • Gupta, R. K., Saksena, S., Hasan, K. M., Agarwal, A., Haris, M., Pandey, C. M., & Narayana, P. A. (2006). Focal Wallerian degeneration of the corpus callosum in large middle cerebral artery stroke: Serial diffusion tensor imaging. Journal of Magnetic Resonance Imaging, 24(3), 549–555.

    PubMed  Google Scholar 

  • Hindriks, R., Adhikari, M. H., Murayama, Y., Ganzetti, M., Mantini, D., Logothetis, N. K., et al. (2016). Corrigendum to "can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?". Neuroimage, 132, 115.

    CAS  PubMed  PubMed Central  Google Scholar 

  • Hofer, S., & Frahm, J. (2006). Topography of the human corpus callosum revisited--comprehensive fiber tractography using diffusion tensor magnetic resonance imaging. Neuroimage, 32(3), 989–994.

    PubMed  Google Scholar 

  • Hutchison, R. M., Womelsdorf, T., Allen, E. A., Bandettini, P. A., Calhoun, V. D., Corbetta, M., Della Penna, S., Duyn, J. H., Glover, G. H., Gonzalez-Castillo, J., Handwerker, D. A., Keilholz, S., Kiviniemi, V., Leopold, D. A., de Pasquale, F., Sporns, O., Walter, M., & Chang, C. (2013). Dynamic functional connectivity: Promise, issues, and interpretations. Neuroimage, 80, 360–378.

    PubMed  Google Scholar 

  • Inman, C. S., James, G. A., Hamann, S., Rajendra, J. K., Pagnoni, G., & Butler, A. J. (2012). Altered resting-state effective connectivity of fronto-parietal motor control systems on the primary motor network following stroke. Neuroimage, 59(1), 227–237.

    PubMed  Google Scholar 

  • Kelly, C., Zuo, X. N., Gotimer, K., Cox, C. L., Lynch, L., Brock, D., et al. (2011). Reduced interhemispheric resting state functional connectivity in cocaine addiction. Biological Psychiatry, 69(7), 684–692.

    CAS  PubMed  PubMed Central  Google Scholar 

  • Krishnamurthi, R. V., Feigin, V. L., Forouzanfar, M. H., Mensah, G. A., Connor, M., Bennett, D. A., Moran, A. E., Sacco, R. L., Anderson, L. M., Truelsen, T., O'Donnell, M., Venketasubramanian, N., Barker-Collo, S., Lawes, C. M., Wang, W., Shinohara, Y., Witt, E., Ezzati, M., Naghavi, M., Murray, C., Global Burden of Diseases, Injuries, Risk Factors Study 2010 (GBD 2010), & GBD Stroke Experts Group. (2013). Global and regional burden of first-ever ischaemic and haemorrhagic stroke during 1990-2010: Findings from the global burden of disease study 2010. The Lancet Global Health, 1(5), e259–e281.

    PubMed  PubMed Central  Google Scholar 

  • Langhorne, P., Bernhardt, J., & Kwakkel, G. (2011). Stroke rehabilitation. Lancet, 377, 1693–1702.

    PubMed  Google Scholar 

  • Li, J., Yuan, Y., Wang, M., Zhang, J., Zhang, L., Jiang, S., Wang, X., Ding, J., & Zhang, K. (2018). Decreased interhemispheric homotopic connectivity in Parkinson's disease patients with freezing of gait: A resting state fMRI study. Parkinsonism & Related Disorders, 52, 30–36.

    Google Scholar 

  • Liu, F., Guo, W., Fouche, J. P., Wang, Y., Wang, W., Ding, J., Zeng, L., Qiu, C., Gong, Q., Zhang, W., & Chen, H. (2015). Multivariate classification of social anxiety disorder using whole brain functional connectivity. Brain Structure and Function, 220(1), 101–115.

    CAS  PubMed  Google Scholar 

  • Liu, F., Wang, Y., Li, M., Wang, W., Li, R., Zhang, Z., Lu, G., & Chen, H. (2017). Dynamic functional network connectivity in idiopathic generalized epilepsy with generalized tonic-clonic seizure. Human Brain Mapping, 38(2), 957–973.

    PubMed  Google Scholar 

  • Lu, J., Liu, H., Zhang, M., Wang, D., Cao, Y., Ma, Q., et al. (2011). Focal pontine lesions provide evidence that intrinsic functional connectivity reflects polysynaptic anatomical pathways. Journal of Neuroscience, 31(2–3), 15065–15071.

    CAS  PubMed  Google Scholar 

  • Middleton, F. A., & Strick, P. L. (2000). Basal ganglia and cerebellar loops: Motor and cognitive circuits. Brain Research. Brain Research Reviews, 31, 236–250.

    CAS  PubMed  Google Scholar 

  • Moore, E. E., Hohman, T. J., Badami, F. S., Pechman, K. R., Osborn, K. E., Acosta, L., et al. (2018). Neurofilament relates to white matter microstructure in older adults. Neurobiology of Aging, 70, 233–241.

    PubMed  PubMed Central  Google Scholar 

  • Murphy, K., Birn, R. M., Handwerker, D. A., Jones, T. B., & Bandettini, P. A. (2009). The impact of global signal regression on resting state correlations: Are anti-correlated networks introduced? Neuroimage, 44(3), 893–905.

    PubMed  Google Scholar 

  • Park, C. H., Chang, W. H., Ohn, S. H., Kim, S. T., Bang, O. Y., Pascual-Leone, A., & Kim, Y. H. (2011). Longitudinal changes of resting-state functional connectivity during motor recovery after stroke. Stroke, 42(5), 1357–1362.

    PubMed  PubMed Central  Google Scholar 

  • Polania, R., Paulus, W., & Nitsche, M. A. (2012). Reorganizing the intrinsic functional architecture of the human primary motor cortex during rest with non-invasive cortical stimulation. PLoS One, 7(1), e30971.

    CAS  PubMed  PubMed Central  Google Scholar 

  • Preti, M. G., Bolton, T. A., & Van De Ville, D. (2017). The dynamic functional connectome: State-of-the-art and perspectives. Neuroimage, 160, 41–54.

    PubMed  Google Scholar 

  • Price, C. J., & Friston, K. J. (1999). Scanning patients with tasks they can perform. Human Brain Mapping, 8(2–3), 102–108.

    CAS  PubMed  PubMed Central  Google Scholar 

  • Pulvermuller, F., Kherif, F., Hauk, O., Mohr, B., & Nimmo-Smith, I. (2009). Distributed cell assemblies for general lexical and category-specific semantic processing as revealed by fMRI cluster analysis. Human Brain Mapping, 30(12), 3837–3850.

    PubMed  PubMed Central  Google Scholar 

  • Sakoglu, U., Pearlson, G. D., Kiehl, K. A., Wang, Y. M., Michael, A. M., & Calhoun, V. D. (2010). A method for evaluating dynamic functional network connectivity and task-modulation: Application to schizophrenia. Magma, 23(5–6), 351–366.

    PubMed  PubMed Central  Google Scholar 

  • Salvador, R., Suckling, J., Coleman, M. R., Pickard, J. D., Menon, D., & Bullmore, E. (2005a). Neurophysiological architecture of functional magnetic resonance images of human brain. Cerebral Cortex, 15(9), 1332–1342.

    PubMed  Google Scholar 

  • Salvador, R., Suckling, J., Schwarzbauer, C., & Bullmore, E. (2005b). Undirected graphs of frequency-dependent functional connectivity in whole brain networks. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 360(1457), 937–946.

    PubMed  PubMed Central  Google Scholar 

  • Sarubbo, S., De Benedictis, A., Merler, S., Mandonnet, E., Barbareschi, M., Dallabona, M., et al. (2016). Structural and functional integration between dorsal and ventral language streams as revealed by blunt dissection and direct electrical stimulation. Human Brain Mapping, 37(11), 3858–3872.

    PubMed  PubMed Central  Google Scholar 

  • Siegel, J. S., Ramsey, L. E., Snyder, A. Z., Metcalf, N. V., Chacko, R. V., Weinberger, K., Baldassarre, A., Hacker, C. D., Shulman, G. L., & Corbetta, M. (2016). Disruptions of network connectivity predict impairment in multiple behavioral domains after stroke. Proceedings of the National Academy of Sciences of the United States of America, 113(30), E4367–E4376.

    CAS  PubMed  PubMed Central  Google Scholar 

  • Stark, D. E., Margulies, D. S., Shehzad, Z. E., Reiss, P., Kelly, A. M., Uddin, L. Q., Gee, D. G., Roy, A. K., Banich, M. T., Castellanos, F. X., & Milham, M. P. (2008). Regional variation in interhemispheric coordination of intrinsic hemodynamic fluctuations. Journal of Neuroscience, 28(51), 13754–13764.

    CAS  PubMed  Google Scholar 

  • Stinear, C. M., Barber, P. A., Smale, P. R., Coxon, J. P., Fleming, M. K., & Byblow, W. D. (2007). Functional potential in chronic stroke patients depends on corticospinal tract integrity. Brain, 130, 170–180.

    PubMed  Google Scholar 

  • Sun, S. W., Liang, H. F., Trinkaus, K., Cross, A. H., Armstrong, R. C., & Song, S. K. (2006). Noninvasive detection of cuprizone induced axonal damage and demyelination in the mouse corpus callosum. Magnetic Resonance in Medicine, 55(2), 302–308.

    PubMed  Google Scholar 

  • Sun, S. W., Liang, H. F., Cross, A. H., & Song, S. K. (2008). Evolving Wallerian degeneration after transient retinal ischemia in mice characterized by diffusion tensor imaging. Neuroimage, 40(1), 1–10.

    CAS  PubMed  Google Scholar 

  • Tang, C., Zhao, Z., Chen, C., Zheng, X., Sun, F., & Zhang, X., et al. (2016). Decreased Functional Connectivity of Homotopic Brain Regions in Chronic Stroke Patients: A Resting State fMRI Study. PLoS One, 11(4), e152875

  • Thompson, G. J., Magnuson, M. E., Merritt, M. D., Schwarb, H., Pan, W. J., McKinley, A., Tripp, L. D., Schumacher, E. H., & Keilholz, S. D. (2013). Short-time windows of correlation between large-scale functional brain networks predict vigilance intraindividually and interindividually. Human Brain Mapping, 34(12), 3280–3298.

    PubMed  Google Scholar 

  • Urbin, M. A., Hong, X., Lang, C. E., & Carter, A. R. (2014). Resting-state functional connectivity and its association with multiple domains of upper-extremity function in chronic stroke. Neurorehabilitation and Neural Repair, 28(8), 761–769.

    CAS  PubMed  PubMed Central  Google Scholar 

  • Varkuti, B., Guan, C., Pan, Y., Phua, K. S., Ang, K. K., Kuah, C. W., et al. (2013). Resting state changes in functional connectivity correlate with movement recovery for BCI and robot-assisted upper-extremity training after stroke. Neurorehabilitation and Neural Repair, 27(1), 53–62.

    PubMed  Google Scholar 

  • Wang, L., Yu, C., Chen, H., Qin, W., He, Y., Fan, F., Zhang, Y., Wang, M., Li, K., Zang, Y., Woodward, T. S., & Zhu, C. (2010). Dynamic functional reorganization of the motor execution network after stroke. Brain, 133(Pt 4), 1224–1238.

    PubMed  Google Scholar 

  • Wang, L. E., Tittgemeyer, M., Imperati, D., Diekhoff, S., Ameli, M., Fink, G. R., & Grefkes, C. (2012). Degeneration of corpus callosum and recovery of motor function after stroke: A multimodal magnetic resonance imaging study. Human Brain Mapping, 33(12), 2941–2956.

    PubMed  Google Scholar 

  • Wang, Y., Li, Z., Zhao, X., Wang, D., Li, H., Xian, Y., Liu, L., & Wang, Y. (2017). Stroke care quality in China: Substantial improvement, and a huge challenge and opportunity. International Journal of Stroke, 12(3), 229–235.

    PubMed  Google Scholar 

  • Wise, S. P., Boussaoud, D., Johnson, P. B., & Caminiti, R. (1997). Premotor and parietal cortex: Corticocortical connectivity and combinatorial computations. Annual Review of Neuroscience, 20, 25–42.

    CAS  PubMed  Google Scholar 

  • Wu, J., Quinlan, E. B., Dodakian, L., McKenzie, A., Kathuria, N., Zhou, R. J., Augsburger, R., See, J., le, V. H., Srinivasan, R., & Cramer, S. C. (2015). Connectivity measures are robust biomarkers of cortical function and plasticity after stroke. Brain, 138(Pt 8), 2359–2369.

    PubMed  PubMed Central  Google Scholar 

  • Yan, C. G., & Zhao, Y. F. (2010). DPARSF: A MATLAB toolbox for "pipeline" data analysis of resting-state fMRI. Frontiers in Systems Neuroscience, 4, 13.

    Google Scholar 

  • Yan, C. G., Zhao, Y. F., Colcombe, S. J., Zuo, X. N., & Milham, M. P. (2017). Concordance among indices of intrinsic brain function: Insights from inter-individual variation and temporal dynamics. Scientific Bulletin, 23, 1572–1584.

    Google Scholar 

  • Yang, G., Wang, Y., Zeng, Y., Gao, G. F., Liang, X., Zhou, M., Wan, X., Yu, S., Jiang, Y., Naghavi, M., Vos, T., Wang, H., Lopez, A. D., & Murray, C. J. (2013). Rapid health transition in China, 1990-2010: Findings from the global burden of disease study 2010. Lancet, 381(9882), 1987–2015.

    PubMed  PubMed Central  Google Scholar 

  • Yip, E., Yun, J., Wachowicz, K., Gabos, Z., Rathee, S., & Fallone, B. G. (2017). Sliding window prior data assisted compressed sensing for MRI tracking of lung tumors. Medical Physics, 44(1), 84–98.

    PubMed  Google Scholar 

  • Yuan, K., Qin, W., Liu, P., Zhao, L., Yu, D., Zhao, L., Dong, M., Liu, J., Yang, X., von Deneen, K., Liang, F., & Tian, J. (2012). Reduced fractional anisotropy of corpus callosum modulates inter-hemispheric resting state functional connectivity in migraine patients without aura. PLoS One, 7(9), e45476.

    CAS  PubMed  PubMed Central  Google Scholar 

  • Zuo, X. N., Kelly, C., Di Martino, A., Mennes, M., Margulies, D. S., Bangaru, S., et al. (2010). Growing together and growing apart: Regional and sex differences in the lifespan developmental trajectories of functional homotopy. Journal of Neuroscience, 30(45), 15034–15043.

    CAS  PubMed  Google Scholar 

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Acknowledgements

The authors thank all volunteers who participated in the study and the staff of the Med-X Research Institute and School of Biomedical Engineering Shanghai Jiaotong University in Shanghai, China for their selfless and valuable assistance.

Funding

The study was funded by the National Natural Science Foundation of China (81571277), the National Natural Science Foundation of China (81301200), the scientific research project of the Shanghai health and family planning committee (201740207), and the academic leader training plan of Shanghai Pudong New Area health system (PWRd2016–07).

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  1. Jing Chen and Dalong Sun contributed equally to this work.

Authors and Affiliations

  1. Department of Neurology, Shanghai Fifth People’s Hospital, Fudan University, Shanghai, China

    Jing Chen, Yonghui Shi, Wei Jin & Chuancheng Ren

  2. Department of Neurology, Zhongshan Hospital Affiliated to Fudan University, Xuhui District, Shanghai, China

    Jing Chen

  3. Division of Gastroenterology, Department of Internal Medicine, Zhongshan Hospital Affiliated to Fudan University, Xuhui District, Shanghai, China

    Dalong Sun

  4. Department of Radiology, Shanghai East Hospital, Tongji University, Shanghai, China

    Yanbin Wang & Qian Xi

  5. Departments of Neurology, Shanghai East Hospital, Tongji University, Shanghai, China

    Chuancheng Ren

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  1. Jing Chen
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  4. Wei Jin
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Contributions

JC contributed to the experiments, data analysis and writing of the manuscript. DS contributed to performing the experiments and writing and revising the manuscript. YS contributed to the data collection. WJ designed the experiment and revised the manuscript. YB contributed to the data analysis and manuscript revision. QX and CR are the guarantors of this study and had complete access to all data in the study. All authors are accountable for the contents of this research.

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Correspondence to Qian Xi or Chuancheng Ren.

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Chen, J., Sun, D., Shi, Y. et al. Altered static and dynamic voxel-mirrored homotopic connectivity in subacute stroke patients: a resting-state fMRI study. Brain Imaging and Behavior 15, 389–400 (2021). https://doi.org/10.1007/s11682-020-00266-x

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