Identifying Resting-State Functional Connectivity Changes in the Motor Cortex Using fNIRS During Recovery from Stroke
Identifying Resting-State Functional Connectivity Changes in the Motor Cortex Using fNIRS During Recovery from Stroke
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DOI：
10.1007/s10548-020-00785-2
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发表时间：
2020-07-19
期刊：
影响因子：
2.7
通讯作者：
Kesavadas, Chandrasekharan
中科院分区：
文献类型：
--
作者：
Arun, K. M.;Smitha, K. A.;Kesavadas, Chandrasekharan
静息态功能成像已被用于研究大脑的功能重组。近年来，功能近红外光谱（fNIRS）在评估静息态功能连接（rsFC）方面的应用已经得到证实。本研究的目的是确定在恢复过程中的差异rsFC模式的上肢功能障碍，由于中风。从我院卒中门诊招募了20例发病4 ~ 8周的轻度卒中患者，经伦理委员会批准后，将同等数量的健康志愿者纳入研究。在双侧运动前区和辅助运动区以及初级运动皮层上记录fNIRS信号。Pearson相关性是用于计算健康组和患者组的rsFC的方法。对于健康组，大脑半球内和半球间的联系都更强。RSFC分析表明，上肢功能障碍患者组的健康模式发生了变化。左半球受累组显示同病灶中断和对病灶连接增加。rsFC的纵向数据分析显示，在同侧半球的主要运动区，体感区，和运动前区之间的连接的改善。将来，恢复期间rsFC的变化可用于预测中风运动缺陷的恢复程度。
Resting-state functional imaging has been used to study the functional reorganization of the brain. The application of functional near-infrared spectroscopy (fNIRS) to assess resting-state functional connectivity (rsFC) has already been demonstrated in recent years. The present study aimed to identify the difference in rsFC patterns during the recovery from the upper-limb deficit due to stroke. Twenty patients with mild stroke having an onset of four to eight weeks were recruited from the stroke clinic of our institute and an equal number of healthy volunteers were included in the study after ethical committee approval. The fNIRS signals were recorded bilaterally over the premotor area and supplementary motor area and over the primary motor cortex. Pearson Correlation is the method used to compute rsFC for the healthy group and patient group. For the healthy group, both intra-hemispheric and inter-hemispheric connections were stronger. RSFC analysis demonstrated changes from the healthy pattern for the patient group with an upper-limb deficit. The left hemisphere affected group showed disrupted ipsilesional and an increased contra-lesional connectivity. The longitudinal data analysis of rsFC showed improvement in the connections in the ipsilesional hemisphere between the primary motor area, somatosensory area, and premotor areas. In the future, the rsFC changes during the recovery could be used to predict the extent of recovery from stroke motor deficits.