Hesheng Liu1, Xiaolong Peng1, Louisa Dahmani1, Hongfeng Wang1, Miao Zhang1, Yi Shan1, Dongdong Rong1, Yanjun Guo1, Junchao Li1, Nianlin Li1, Long Wang1, Yuanxiang Lin1, Ruiqi Pan1, Jie Lu2, Danhong Wang1. 1. From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology (H.L., X.P., L.D., H.W., J. Li, N.L., R.P., D.W.), Massachusetts General Hospital, Harvard Medical School, Charlestown; Beijing Institute for Brain Disorders (H.L.), Departments of Radiology (M.Z., Y.S., D.R., J. Lu) and Nuclear Medicine (J. Lu), Xuanwu Hospital, and Department of Neurology, Beijing Friendship Hospital (Y.G.), Capital Medical University; Liaoyuan Hospital of Traditional Chinese Medicine (L.W.); Department of Neurosurgery (Y.L.), First Affiliated Hospital, Fujian Medical University, Fuzhou, China; Department of Neuroscience (H.L., X.P.), Medical University of South Carolina, Charleston; Department of Radiology (X.P.), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan; Changchun University of Chinese Medicine (H.W.); and Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics (M.Z., Y.S., D.R., J. Lu), China. 2. From the Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology (H.L., X.P., L.D., H.W., J. Li, N.L., R.P., D.W.), Massachusetts General Hospital, Harvard Medical School, Charlestown; Beijing Institute for Brain Disorders (H.L.), Departments of Radiology (M.Z., Y.S., D.R., J. Lu) and Nuclear Medicine (J. Lu), Xuanwu Hospital, and Department of Neurology, Beijing Friendship Hospital (Y.G.), Capital Medical University; Liaoyuan Hospital of Traditional Chinese Medicine (L.W.); Department of Neurosurgery (Y.L.), First Affiliated Hospital, Fujian Medical University, Fuzhou, China; Department of Neuroscience (H.L., X.P.), Medical University of South Carolina, Charleston; Department of Radiology (X.P.), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan; Changchun University of Chinese Medicine (H.W.); and Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics (M.Z., Y.S., D.R., J. Lu), China. imaginglu@hotmail.com.
Abstract
OBJECTIVE: To elucidate the timeframe and spatial patterns of cortical reorganization after different stroke-induced basal ganglia lesions, we measured cortical thickness at 5 time points over a 6-month period. We hypothesized that cortical reorganization would occur very early and that, along with motor recovery, it would vary based on the stroke lesion site. METHODS: Thirty-three patients with unilateral basal ganglia stroke and 23 healthy control participants underwent MRI scanning and behavioral testing. To further decrease heterogeneity, we split patients into 2 groups according to whether or not the lesions mainly affect the striatal motor network as defined by resting-state functional connectivity. A priori measures included cortical thickness and motor outcome, as assessed with the Fugl-Meyer scale. RESULTS: Within 14 days poststroke, cortical thickness already increased in widespread brain areas (p = 0.001), mostly in the frontal and temporal cortices rather than in the motor cortex. Critically, the 2 groups differed in the severity of motor symptoms (p = 0.03) as well as in the cerebral reorganization they exhibited over a period of 6 months (Dice overlap index = 0.16). Specifically, the frontal and temporal regions demonstrating cortical thickening showed minimal overlap between these 2 groups, indicating different patterns of reorganization. CONCLUSIONS: Our findings underline the importance of assessing patients early and of considering individual differences, as patterns of cortical reorganization differ substantially depending on the precise location of damage and occur very soon after stroke. A better understanding of the macrostructural brain changes following stroke and their relationship with recovery may inform individualized treatment strategies.
OBJECTIVE: To elucidate the timeframe and spatial patterns of cortical reorganization after different stroke-induced basal ganglia lesions, we measured cortical thickness at 5 time points over a 6-month period. We hypothesized that cortical reorganization would occur very early and that, along with motor recovery, it would vary based on the stroke lesion site. METHODS: Thirty-three patients with unilateral basal ganglia stroke and 23 healthy control participants underwent MRI scanning and behavioral testing. To further decrease heterogeneity, we split patients into 2 groups according to whether or not the lesions mainly affect the striatal motor network as defined by resting-state functional connectivity. A priori measures included cortical thickness and motor outcome, as assessed with the Fugl-Meyer scale. RESULTS: Within 14 days poststroke, cortical thickness already increased in widespread brain areas (p = 0.001), mostly in the frontal and temporal cortices rather than in the motor cortex. Critically, the 2 groups differed in the severity of motor symptoms (p = 0.03) as well as in the cerebral reorganization they exhibited over a period of 6 months (Dice overlap index = 0.16). Specifically, the frontal and temporal regions demonstrating cortical thickening showed minimal overlap between these 2 groups, indicating different patterns of reorganization. CONCLUSIONS: Our findings underline the importance of assessing patients early and of considering individual differences, as patterns of cortical reorganization differ substantially depending on the precise location of damage and occur very soon after stroke. A better understanding of the macrostructural brain changes following stroke and their relationship with recovery may inform individualized treatment strategies.
Authors: Judith D Schaechter; Christopher I Moore; Brendan D Connell; Bruce R Rosen; Rick M Dijkhuizen Journal: Brain Date: 2006-08-18 Impact factor: 13.501
Authors: José A Graterol Pérez; Stephanie Guder; Chi-Un Choe; Christian Gerloff; Robert Schulz Journal: Front Neurol Date: 2022-03-08 Impact factor: 4.003