Brain network characteristics between subacute and chronic stroke survivors in active, imagery, passive movement task: a pilot study
BackgroundThe activation patterns and functional network characteristics between stroke survivors and healthy individuals based on resting-or task-state neuroimaging and neurophysiological techniques have been extensively explored. However, the discrepancy between stroke patients at different recove...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-07-01
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| Series: | Frontiers in Neurology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fneur.2023.1143955/full |
| _version_ | 1797777251123593216 |
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| author | Yifang Lin Yifang Lin Zewu Jiang Gege Zhan Haolong Su XiaoYang Kang Jie Jia Jie Jia Jie Jia Jie Jia |
| author_facet | Yifang Lin Yifang Lin Zewu Jiang Gege Zhan Haolong Su XiaoYang Kang Jie Jia Jie Jia Jie Jia Jie Jia |
| author_sort | Yifang Lin |
| collection | DOAJ |
| description | BackgroundThe activation patterns and functional network characteristics between stroke survivors and healthy individuals based on resting-or task-state neuroimaging and neurophysiological techniques have been extensively explored. However, the discrepancy between stroke patients at different recovery stages remains unclear.ObjectiveTo investigate the changes in brain connectivity and network topology between subacute and chronic patients, and hope to provide a basis for rehabilitation strategies at different stages after stroke.MethodsFifteen stroke survivors were assigned to the subacute group (SG, N = 9) and chronic group (CG, N = 6). They were asked to perform hand grasping under active, passive, and MI conditions when recording EEG. The Fugl-Meyer Assessment Upper Extremity subscale (FMA_UE), modified Ashworth Scale (MAS), Manual Muscle Test (MMT), grip and pinch strength, modified Barthel Index (MBI), and Berg Balance Scale (BBS) were measured.ResultsFunctional connectivity analyses showed significant interactions on frontal, parietal and occipital lobes connections in each frequency band, particularly in the delta band. The coupling strength of premotor cortex, M1, S1 and several connections linked to frontal, parietal, and occipital lobes in subacute subjects were lower than in chronic subjects in low alpha, high alpha, low beta, and high beta bands. Nodal clustering coefficient (CC) analyses revealed that the CC in chronic subjects was higher than in subacute subjects in the ipsilesional S1 and occipital area, contralesional dorsolateral prefrontal cortex and parietal area. Characteristic path length (CPL) analyses showed that CPL in subacute subjects was lower than in chronic subjects in low beta, high beta, and gamma bands. There were no significant differences between subacute and chronic subjects for small-world property.ConclusionSubacute stroke survivors were characterized by higher transfer efficiency of the entire brain network and weak local nodal effects. Transfer efficiency was reduced, the local nodal role was strengthened, and more neural resources needed to be mobilized to perform motor tasks for chronic survivors. Overall, these results may help to understand the remodeling pattern of the brain network for different post-stroke stages on task conditions and the mechanism of spontaneous recovery. |
| first_indexed | 2024-03-12T23:02:29Z |
| format | Article |
| id | doaj.art-21c4de59dd58492eb60db08d08b61534 |
| institution | Directory Open Access Journal |
| issn | 1664-2295 |
| language | English |
| last_indexed | 2024-03-12T23:02:29Z |
| publishDate | 2023-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neurology |
| spelling | doaj.art-21c4de59dd58492eb60db08d08b615342023-07-19T08:30:48ZengFrontiers Media S.A.Frontiers in Neurology1664-22952023-07-011410.3389/fneur.2023.11439551143955Brain network characteristics between subacute and chronic stroke survivors in active, imagery, passive movement task: a pilot studyYifang Lin0Yifang Lin1Zewu Jiang2Gege Zhan3Haolong Su4XiaoYang Kang5Jie Jia6Jie Jia7Jie Jia8Jie Jia9Department of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai, ChinaDepartment of Rehabilitation Medicine, Shanghai Jing’an District Central Hospital, Shanghai, ChinaDepartment of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai, ChinaAcademy for Engineering and Technology, Fudan University, Shanghai, ChinaAcademy for Engineering and Technology, Fudan University, Shanghai, ChinaAcademy for Engineering and Technology, Fudan University, Shanghai, ChinaDepartment of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai, ChinaDepartment of Rehabilitation Medicine, Shanghai Jing’an District Central Hospital, Shanghai, ChinaNational Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, ChinaNational Center for Neurological Disorders, Shanghai, ChinaBackgroundThe activation patterns and functional network characteristics between stroke survivors and healthy individuals based on resting-or task-state neuroimaging and neurophysiological techniques have been extensively explored. However, the discrepancy between stroke patients at different recovery stages remains unclear.ObjectiveTo investigate the changes in brain connectivity and network topology between subacute and chronic patients, and hope to provide a basis for rehabilitation strategies at different stages after stroke.MethodsFifteen stroke survivors were assigned to the subacute group (SG, N = 9) and chronic group (CG, N = 6). They were asked to perform hand grasping under active, passive, and MI conditions when recording EEG. The Fugl-Meyer Assessment Upper Extremity subscale (FMA_UE), modified Ashworth Scale (MAS), Manual Muscle Test (MMT), grip and pinch strength, modified Barthel Index (MBI), and Berg Balance Scale (BBS) were measured.ResultsFunctional connectivity analyses showed significant interactions on frontal, parietal and occipital lobes connections in each frequency band, particularly in the delta band. The coupling strength of premotor cortex, M1, S1 and several connections linked to frontal, parietal, and occipital lobes in subacute subjects were lower than in chronic subjects in low alpha, high alpha, low beta, and high beta bands. Nodal clustering coefficient (CC) analyses revealed that the CC in chronic subjects was higher than in subacute subjects in the ipsilesional S1 and occipital area, contralesional dorsolateral prefrontal cortex and parietal area. Characteristic path length (CPL) analyses showed that CPL in subacute subjects was lower than in chronic subjects in low beta, high beta, and gamma bands. There were no significant differences between subacute and chronic subjects for small-world property.ConclusionSubacute stroke survivors were characterized by higher transfer efficiency of the entire brain network and weak local nodal effects. Transfer efficiency was reduced, the local nodal role was strengthened, and more neural resources needed to be mobilized to perform motor tasks for chronic survivors. Overall, these results may help to understand the remodeling pattern of the brain network for different post-stroke stages on task conditions and the mechanism of spontaneous recovery.https://www.frontiersin.org/articles/10.3389/fneur.2023.1143955/fullstroke stagebrain network topologyupper limbelectroencephalographytask-related coherence |
| spellingShingle | Yifang Lin Yifang Lin Zewu Jiang Gege Zhan Haolong Su XiaoYang Kang Jie Jia Jie Jia Jie Jia Jie Jia Brain network characteristics between subacute and chronic stroke survivors in active, imagery, passive movement task: a pilot study Frontiers in Neurology stroke stage brain network topology upper limb electroencephalography task-related coherence |
| title | Brain network characteristics between subacute and chronic stroke survivors in active, imagery, passive movement task: a pilot study |
| title_full | Brain network characteristics between subacute and chronic stroke survivors in active, imagery, passive movement task: a pilot study |
| title_fullStr | Brain network characteristics between subacute and chronic stroke survivors in active, imagery, passive movement task: a pilot study |
| title_full_unstemmed | Brain network characteristics between subacute and chronic stroke survivors in active, imagery, passive movement task: a pilot study |
| title_short | Brain network characteristics between subacute and chronic stroke survivors in active, imagery, passive movement task: a pilot study |
| title_sort | brain network characteristics between subacute and chronic stroke survivors in active imagery passive movement task a pilot study |
| topic | stroke stage brain network topology upper limb electroencephalography task-related coherence |
| url | https://www.frontiersin.org/articles/10.3389/fneur.2023.1143955/full |
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