title: Changes in brain functional network connectivity after stroke.
abstract: Studies have shown that functional network connection models can be used to study brain network changes in patients with schizophrenia. In this study, we inferred that these models could also be used to explore functional network connectivity changes in stroke patients. We used independent component analysis to find the motor areas of stroke patients, which is a novel way to determine these areas. In this study, we collected functional magnetic resonance imaging datasets from healthy controls and right-handed stroke patients following their first ever stroke. Using independent component analysis, six spatially independent components highly correlated to the experimental paradigm were extracted. Then, the functional network connectivity of both patients and controls was established to observe the differences between them. The results showed that there were 11 connections in the model in the stroke patients, while there were only four connections in the healthy controls. Further analysis found that some damaged connections may be compensated for by new indirect connections or circuits produced after stroke. These connections may have a direct correlation with the degree of stroke rehabilitation. Our findings suggest that functional network connectivity in stroke patients is more complex than that in hea-lthy controls, and that there is a compensation loop in the functional network following stroke. This implies that functional network reorganization plays a very important role in the process of rehabilitation after stroke.
authors.affiliation: Key Laboratory of Image Processing and Intelligent Control, Ministry of Education, Wuhan, Hubei Province, China ; Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
authors.forename: Wei
authors.initials: W
authors.lastname: Li
authors.affiliation: Key Laboratory of Image Processing and Intelligent Control, Ministry of Education, Wuhan, Hubei Province, China ; Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
authors.forename: Yapeng
authors.initials: Y
authors.lastname: Li
authors.affiliation: Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
authors.forename: Wenzhen
authors.initials: W
authors.lastname: Zhu
authors.affiliation: Key Laboratory of Image Processing and Intelligent Control, Ministry of Education, Wuhan, Hubei Province, China ; Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
authors.forename: Xi
authors.initials: X
authors.lastname: Chen
keywords: NSFC grant; brain injury; brain network; functional magnetic resonance imaging; functional network connectivity; independent component analysis; motor areas; nerve regeneration; neural plasticity; neural regeneration; stroke