机构:[1]State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, People’s Republic of China[2]Department of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, People’s Republic of China[3]Department of Radiology, Xuanwu Hospital of Capital Medical University, Beijing 100053, People’s Republic of China放射科首都医科大学宣武医院[4]Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing 100053, People’s Republic of China神经内科首都医科大学宣武医院[5]Department of Psychiatry, University of British Columbia, Vancouver, BC V6T 2A1, Canada
Numerous studies argue that cortical reorganization may contribute to the restoration of motor function following stroke. However, the evolution of changes during the post-stroke reorganization has been little studied. This study sought to identify dynamic changes in the functional organization, particularly topological characteristics, of the motor execution network during the stroke recovery process. Ten patients (nine male and one female) with subcortical infarctions were assessed by neurological examination and scanned with resting-state functional magnetic resonance imaging across five consecutive time points in a single year. The motor execution network of each subject was constructed using a functional connectivity matrix between 21 brain regions and subsequently analysed using graph theoretical approaches. Dynamic changes in topological configuration of the network during the process of recovery were evaluated by a mixed model. We found that the motor execution network gradually shifted towards a random mode during the recovery process, which suggests that a less optimized reorganization is involved in regaining function in the affected limbs. Significantly increased regional centralities within the network were observed in the ipsilesional primary motor area and contralesional cerebellum, whereas the ipsilesional cerebellum showed decreased regional centrality. Functional connectivity to these brain regions demonstrated consistent alterations over time. Notably, these measures correlated with different clinical variables, which provided support that the findings may reflect the adaptive reorganization of the motor execution network in stroke patients. In conclusion, the study expands our understanding of the spectrum of changes occurring in the brain after stroke and provides a new avenue for investigating lesion-induced network plasticity.
基金:
National Key Basic Research and Development Program (973) (Grant No 2003CB716101); the Natural Science Foundation of China (Grant Nos 30670601 and 30970773);
Program for New Century Excellent Talents in University (NCET-07-0568).
第一作者机构:[1]State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, People’s Republic of China
共同第一作者:
通讯作者:
通讯机构:[1]State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, People’s Republic of China
推荐引用方式(GB/T 7714):
Liang Wang ,Chunshui Yu ,Hai Chen ,et al.Dynamic functional reorganization of the motor execution network after stroke[J].BRAIN.2010,133(4):1224-1238.doi:10.1093/brain/awq043.
APA:
Liang Wang,,Chunshui Yu,,Hai Chen,,Wen Qin,,ong He,...&Chaozhe Zhu.(2010).Dynamic functional reorganization of the motor execution network after stroke.BRAIN,133,(4)
MLA:
Liang Wang,,et al."Dynamic functional reorganization of the motor execution network after stroke".BRAIN 133..4(2010):1224-1238