Key Laboratory of Child Development and Learning Science of Ministry of Education, Research Center for Learning Science, School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, Jiangsu, China.
Key Laboratory of Child Development and Learning Science of Ministry of Education, Research Center for Learning Science, School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, Jiangsu, China.
Dev Cogn Neurosci. 2019 Oct;39:100687. doi: 10.1016/j.dcn.2019.100687. Epub 2019 Jul 30.
The aim of this study was to investigate the long-range temporal correlations (LRTCs) of instantaneous amplitude of electrocortical oscillations in patients with autism spectrum disorder (ASD). Using the resting-state electroencephalography (EEG) of 15 patients with ASD (aged between 5˜18 years, mean age = 11.6 years, SD = 4.4 years) and 18 typical developing (TD) people (aged between 5˜18 years, mean age = 8.9 years, SD = 2.4 years), we estimated the LRTCs of neuronal oscillations amplitude of 84 predefined cortical regions of interest using detrended fluctuation analysis (DFA) after confirming the presence of scale invariance. We found that the DFA exponents of instantaneous amplitude of beta and low-gamma oscillations were significantly attenuated in patients with ASD compared to TD participants. Moreover, the regions with attenuated DFA exponent were mainly located in social functions related cortical networks, including the default mode network (DMN), the mirror neuron system (MNS) and the salience network (SN). These findings suggest that ASD is associated with highly volatile neuronal states of electrocortical oscillations, which may be related to social and cognitive dysfunction in patients with ASD.
本研究旨在探究自闭症谱系障碍（ASD）患者脑电振荡的瞬时振幅的长程时间相关性（LRTCs）。我们使用 15 名 ASD 患者（年龄在 5 到 18 岁之间，平均年龄=11.6 岁，标准差=4.4 岁）和 18 名典型发育（TD）人的静息态脑电图（EEG），通过去趋势波动分析（DFA），在确认存在标度不变性后，估计了 84 个预先定义的皮质感兴趣区的神经元振荡幅度的 LRTCs。我们发现，与 TD 参与者相比，ASD 患者的β和低γ振荡的瞬时振幅的 DFA 指数明显减弱。此外，衰减 DFA 指数的区域主要位于与社会功能相关的皮质网络中，包括默认模式网络（DMN）、镜像神经元系统（MNS）和突显网络（SN）。这些发现表明，ASD 与脑电振荡的高度不稳定的神经元状态有关，这可能与 ASD 患者的社会和认知功能障碍有关。
