Title :
Reorganization of Motor Execution Networks During Sub-Acute Phase After Stroke
Author :
Lin Cheng ; Zhiyuan Wu ; Junfeng Sun ; Yi Fu ; Xinning Wang ; Guo-Yuan Yang ; Fei Miao ; Shanbao Tong
Author_Institution :
Sch. of Biomed. Eng., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
Numerous studies focused on brain reorganization after stroke from aspects of task-related brain activity and resting-state brain networks. However, studies focusing on the longitudinal reorganization of task-state brain networks were scarce. In this study, functional magnetic resonance imaging data were collected from twelve stroke patients during blocked finger-tapping task at four post-stroke time points (less than 10 days, around 2 weeks, 1 month and 3 months), respectively. The dynamic changes and prognostic value of the network parameters (i.e., topological parameters, functional connectivity and nodal parameters) in task-state motor execution networks were thoroughly evaluated. We found that the topological configuration (clustering coefficient and characteristic path length) of task-state motor execution networks underwent significant shift during stroke recovery. Especially, we found the topological configuration of task-state motor execution networks at the early recovery stage were capable of predicting the motor function restoration during sub-acute phase. In addition, we found increasing functional connectivity between ipsilesional cerebellum and motor cortices in task-state motor execution networks. In general, this study demonstrated the reorganization and prognostic value of task-state brain network after stroke, which provides new insights into understanding the brain reorganization and rehabilitation after stroke.
Keywords :
biomechanics; biomedical MRI; brain; medical image processing; patient rehabilitation; blocked finger-tapping task; brain reorganization; characteristic path length; clustering coefficient; functional connectivity; functional magnetic resonance imaging; ipsilesional cerebellum; motor cortices; motor execution network reorganization; motor function restoration; nodal parameters; patient rehabilitation; resting-state brain networks; stroke recovery; sub-acute phase; task-related brain activity; task-state motor execution networks; topological configuration; topological parameters; Basal ganglia; Brain modeling; Correlation; Educational institutions; Hospitals; Indexes; Finger-tapping task; functional connectivity; functional magnetic resonance imaging; motor execution network; stroke;
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
DOI :
10.1109/TNSRE.2015.2401978