Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Toronto, ON, Canada; Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada; Rehabilitation Sciences Institute, University of Toronto, Toronto, ON, Canada.
Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Toronto, ON, Canada; Rehabilitation Sciences Institute, University of Toronto, Toronto, ON, Canada; Rotman Research Institute, Baycrest Centre, Toronto, ON, Canada; Department of Occupational Science and Occupational Therapy, University of Toronto, Toronto, ON, Canada.
J Neurol Sci. 2018 Jan 15;384:21-29. doi: 10.1016/j.jns.2017.11.007. Epub 2017 Nov 7.
Movement is traditionally viewed as a process that involves motor brain regions. However, movement also implicates non-motor regions such as prefrontal and parietal cortex, regions whose integrity may thus be important for motor recovery after stroke. Importantly, focal brain damage can affect neural functioning within and between distinct brain networks implicated in the damage. The aim of this study is to investigate how resting state connectivity (rs-connectivity) within and between motor and frontoparietal networks are affected post-stroke in correlation with motor outcome. Twenty-seven participants with chronic stroke with unilateral upper limb deficits underwent motor assessments and magnetic resonance imaging. Participants completed the Chedoke-McMaster Stroke Assessment as a measure of arm (CMSA-Arm) and hand (CMSA-Hand) impairment and the Action Research Arm Test (ARAT) as a measure of motor function. We used a seed-based rs-connectivity approach defining the motor (seed=contralesional primary motor cortex (M1)) and frontoparietal (seed=contralesional dorsolateral prefrontal cortex (DLPFC)) networks. We analyzed the rs-connectivity within each network (intra-network connectivity) and between both networks (inter-network connectivity), and performed correlations between: a) intra-network connectivity and motor assessment scores; b) inter-network connectivity and motor assessment scores. We found: a) Participants with high rs-connectivity within the motor network (between M1 and supplementary motor area) have higher CMSA-Hand stage (z=3.62, p=0.003) and higher ARAT score (z=3.41, p=0.02). Rs-connectivity within the motor network was not significantly correlated with CMSA-Arm stage (z=1.83, p>0.05); b) Participants with high rs-connectivity within the frontoparietal network (between DLPFC and mid-ventrolateral prefrontal cortex) have higher CMSA-Hand stage (z=3.64, p=0.01). Rs-connectivity within the frontoparietal network was not significantly correlated with CMSA-Arm stage (z=0.93, p=0.03) or ARAT score (z=2.53, p=0.05); and c) Participants with high rs-connectivity between motor and frontoparietal networks have higher CMSA-Hand stage (r=0.54, p=0.01) and higher ARAT score (r=0.54, p=0.009). Rs-connectivity between the motor and frontoparietal networks was not significantly correlated with CMSA-Arm stage (r=0.34, p=0.13). Taken together, the connectivity within and between the motor and frontoparietal networks correlate with motor outcome post-stroke. The integrity of these regions may be important for an individual's motor outcome. Motor-frontoparietal connectivity may be a potential biomarker of motor recovery post-stroke.
运动传统上被视为一个涉及运动大脑区域的过程。然而,运动也涉及到前额叶和顶叶等非运动区域,这些区域的完整性对于中风后运动功能的恢复可能很重要。重要的是,局灶性脑损伤可能会影响到与损伤相关的不同大脑网络中的神经功能。本研究旨在探讨中风后与运动和额顶网络内和网络间的静息状态连接(rs-connectivity)如何与运动结果相关。27 名患有单侧上肢运动障碍的慢性中风患者接受了运动评估和磁共振成像。参与者完成了 Chedoke-McMaster 中风评估作为手臂(CMSA-Arm)和手部(CMSA-Hand)损伤的测量,以及行动研究手臂测试(ARAT)作为运动功能的测量。我们使用基于种子的 rs-connectivity 方法来定义运动(种子=对侧初级运动皮层(M1))和额顶网络(种子=对侧背外侧前额叶皮层(DLPFC))。我们分析了每个网络内的 rs-connectivity(网络内连接)和两个网络之间的 rs-connectivity(网络间连接),并对以下内容进行了相关性分析:a)网络内连接与运动评估得分之间的相关性;b)网络间连接与运动评估得分之间的相关性。我们发现:a)运动网络内 rs-connectivity 较高的参与者(M1 和辅助运动区之间)具有更高的 CMSA-Hand 阶段(z=3.62,p=0.003)和更高的 ARAT 得分(z=3.41,p=0.02)。运动网络内的 rs-connectivity 与 CMSA-Arm 阶段无显著相关性(z=1.83,p>0.05);b)额顶网络内 rs-connectivity 较高的参与者(DLPFC 和中腹侧前额叶皮层之间)具有更高的 CMSA-Hand 阶段(z=3.64,p=0.01)。额顶网络内的 rs-connectivity 与 CMSA-Arm 阶段(z=0.93,p=0.03)或 ARAT 得分(z=2.53,p=0.05)无显著相关性;c)运动和额顶网络之间 rs-connectivity 较高的参与者具有更高的 CMSA-Hand 阶段(r=0.54,p=0.01)和更高的 ARAT 得分(r=0.54,p=0.009)。运动和额顶网络之间的 rs-connectivity 与 CMSA-Arm 阶段无显著相关性(r=0.34,p=0.13)。综上所述,运动和额顶网络内和网络间的连接与中风后的运动结果相关。这些区域的完整性对于个体的运动结果可能很重要。运动-额顶连接可能是中风后运动恢复的潜在生物标志物。