Altered intra‐ and inter‐network functional coupling of resting‐state networks associated with motor dysfunction in stroke |
| |
| Authors: | Mingxia Fan Dazhi Yin Chaozheng Tang Jiayu Gong Guojun Xu Xinjie Gao Qiurong Yu Hao Yang Limin Sun Jie Jia |
| |
| Affiliation: | 1. Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China;2. Institute of Neuroscience, State Key Laboratory of Neuroscience, Key Laboratory of Primate Neurobiology, CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China;3. Department of Rehabilitation, Huashan Hospital, Fudan University, Shanghai, China |
| |
| Abstract: | Motor functions are supported through functional integration across the extended motor system network. Individuals following stroke often show deficits on motor performance requiring coordination of multiple brain networks; however, the assessment of connectivity patterns after stroke was still unclear. This study aimed to investigate the changes in intra‐ and inter‐network functional connectivity (FC) of multiple networks following stroke and further correlate FC with motor performance. Thirty‐three left subcortical chronic stroke patients and 34 healthy controls underwent resting‐state functional magnetic resonance imaging. Eleven resting‐state networks were identified via independent component analysis (ICA). Compared with healthy controls, the stroke group showed abnormal FC within the motor network (MN), visual network (VN), dorsal attention network (DAN), and executive control network (ECN). Additionally, the FC values of the ipsilesional inferior parietal lobule (IPL) within the ECN were negatively correlated with the Fugl‐Meyer Assessment (FMA) scores (hand + wrist). With respect to inter‐network interactions, the ipsilesional frontoparietal network (FPN) decreased FC with the MN and DAN; the contralesional FPN decreased FC with the ECN, but it increased FC with the default mode network (DMN); and the posterior DMN decreased FC with the VN. In sum, this study demonstrated the coexistence of intra‐ and inter‐network alterations associated with motor‐visual attention and high‐order cognitive control function in chronic stroke, which might provide insights into brain network plasticity following stroke. |
| |
| Keywords: | fMRI independent component analysis motor deficits resting‐state networks stroke |
|
|
