The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu 610054, China.
Sichuan Rehabilitation Hospital, Chengdu, China.
Neural Plast. 2018 Aug 15;2018:7058953. doi: 10.1155/2018/7058953. eCollection 2018.
Cerebral palsy (CP) has long been investigated to be associated with a range of motor and cognitive dysfunction. As the two most common CP subtypes, spastic cerebral palsy (SCP) and dyskinetic cerebral palsy (DCP) may share common and distinct elements in their pathophysiology. However, the common and distinct dysfunctional characteristics between SCP and DCP on the brain network level are less known. This study aims to detect the alteration of brain functional connectivity in children with SCP and DCP based on resting-state functional MRI (fMRI). Resting-state networks (RSNs) were established based on the independent component analysis (ICA), and the functional network connectivity (FNC) was performed on the fMRI data from 16 DCP, 18 bilateral SCP, and 18 healthy children. Compared with healthy controls, altered functional connectivity within the cerebellum network, sensorimotor network (SMN), left frontoparietal network (LFPN), and salience network (SN) were found in DCP and SCP groups. Furthermore, the disconnections of the FNC consistently focused on the visual pathway; covariance of the default mode network (DMN) with other networks was observed both in DCP and SCP groups, while the DCP group had a distinct connectivity abnormality in motor pathway and self-referential processing-related connections. Correlations between the functional disconnection and the motor-related clinical measurement in children with CP were also found. These findings indicate functional connectivity impairment and altered integration widely exist in children with CP, suggesting that the abnormal functional connectivity is a pathophysiological mechanism of motor and cognitive dysfunction of CP.
脑瘫（CP）长期以来一直被研究与一系列运动和认知功能障碍有关。痉挛性脑瘫（SCP）和运动障碍性脑瘫（DCP）作为两种最常见的 CP 亚型，其病理生理学可能具有共同和独特的元素。然而，SCP 和 DCP 在大脑网络水平上的共同和独特的功能障碍特征知之甚少。本研究旨在基于静息态功能磁共振成像（fMRI）检测 SCP 和 DCP 儿童的脑功能连接变化。基于独立成分分析（ICA）建立静息态网络（RSN），并对 16 例 DCP、18 例双侧 SCP 和 18 例健康儿童的 fMRI 数据进行功能网络连接（FNC）分析。与健康对照组相比，DCP 和 SCP 组均存在小脑网络、感觉运动网络（SMN）、左额顶网络（LFPN）和突显网络（SN）内功能连接改变。此外，FNC 的连接中断一致集中在视觉通路；DCP 和 SCP 组均观察到默认模式网络（DMN）与其他网络的协方差，而 DCP 组在运动通路和自我参照处理相关连接中存在明显的连接异常。还发现 CP 儿童的功能连接异常与运动相关临床测量之间存在相关性。这些发现表明 CP 儿童存在广泛的功能连接损伤和整合改变，提示异常的功能连接是 CP 运动和认知功能障碍的病理生理机制。
