PDF(Pubmed)
Abstract：
Motor control deficits are very common in stroke survivors and often lead to disability. Current clinical measures for profiling motor control impairments are largely subjective and lack precise interpretation in a \"control\" perspective. This study aims to provide an accurate interpretation and assessment of the underlying \"motor control\" deficits caused by stroke, using a recently developed novel technique, i.e., the functional brain controllability analysis. The electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) were simultaneously recorded from 16 stroke patients and 11 healthy subjects during a hand-clenching task. A high spatiotemporal resolution fNIRS-informed EEG source imaging approach was then employed to estimate the cortical activity and construct the functional brain network. Subsequently, network control theory was applied to evaluate the modal controllability of some key motor regions, including primary motor cortex (M1), premotor cortex (PMC), and supplementary motor cortex (SMA), and also the executive control network (ECN). Results indicated that the modal controllability of ECN in stroke patients was significantly lower than healthy subjects (p = 0.03). Besides, the modal controllability of SMA in stroke patients was also significant smaller than healthy subjects (p = 0.02). Finally, the baseline modal controllability of M1 was found to be significantly correlated with the baseline FM-UL clinical scores (r = 0.58, p = 0.01). In conclusion, our results provide a new perspective to better understand the motor control deficits caused by stroke. We expect such an analytical methodology can be extended to investigate the other neurological or psychiatric diseases caused by cognitive control or motor control impairment.
摘要：
运动控制缺陷在中风幸存者中非常常见，通常会导致残疾。当前用于分析运动控制障碍的临床措施在很大程度上是主观的，并且缺乏“控制”观点的精确解释。这项研究旨在提供一个准确的解释和评估潜在的“运动控制”缺陷引起的中风,使用最近开发的新技术，即，大脑功能可控性分析。同时记录了16名中风患者和11名健康受试者的脑电图（EEG）和功能近红外光谱（fNIRS）。然后采用高时空分辨率fNIRS告知的EEG源成像方法来估计皮层活动并构建功能性脑网络。随后，应用网络控制理论评估了一些关键电机区域的模态可控性，包括初级运动皮层（M1），运动前皮质（PMC），和补充运动皮层（SMA），以及执行控制网络(ECN)。结果表明，脑卒中患者ECN的模态可控性明显低于健康受试者（p=0.03）。此外,卒中患者SMA的模态可控性也显著小于健康受试者(p=0.02).最后,M1的基线模态可控性与基线FM-UL临床评分显著相关(r=0.58,p=0.01).总之,我们的研究结果为更好地理解卒中引起的运动控制缺陷提供了新的视角.我们希望这种分析方法可以扩展到研究由认知控制或运动控制障碍引起的其他神经或精神疾病。
