Atypical EEG complexity in autism spectrum conditions: A multiscale entropy analysis
Atypical EEG complexity in autism spectrum conditions: A multiscale entropy analysis
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DOI：
10.1016/j.clinph.2011.05.004
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发表时间：
2011-12-01
影响因子：
4.7
通讯作者：
Ring, Howard
中科院分区：
文献类型：
--
作者：
Catarino, Ana;Churches, Owen;Ring, Howard
目的：内在复杂性有助于生物系统的适应性。最近发展起来的一种衡量生物系统内在复杂性的方法是多尺度熵（MSE）。自闭症谱系条件（ASC）在行为水平上被描述为适应性降低，在神经水平上被描述为非典型连接模式。基于这些观察结果，我们旨在通过脑电图（EEG）活动的MSE分析来验证患有ASC的成年人表现出非典型的脑活动内在复杂性的假设。方法：采用MSE对15名ASC参与者和15名典型对照者在面部和椅子匹配任务中记录的脑电图数据的复杂性进行评估。结果：结果表明，与典型对照相比，ASC组在颞顶叶和枕部区域的脑电图信号复杂性降低。各组脑电功率谱差异不显著，说明复杂度值的变化并不能反映脑电功率谱的变化。结论：结果与ASC患者的非典型神经整合能力模型一致。意义：结果表明，脑电图复杂性，如MSE测量指标，也可能是自闭症患者特定任务信息处理障碍的标志。(C) 2011年国际临床神经生理学联合会。爱思唯尔爱尔兰有限公司出版。版权所有。
Objective: Intrinsic complexity subserves adaptability in biological systems. One recently developed measure of intrinsic complexity of biological systems is multiscale entropy (MSE). Autism spectrum conditions (ASC) have been described in terms of reduced adaptability at a behavioural level and by patterns of atypical connectivity at a neural level. Based on these observations we aimed to test the hypothesis that adults with ASC would show atypical intrinsic complexity of brain activity as indexed by MSE analysis of electroencephalographic (EEG) activity.Methods: We used MSE to assess the complexity of EEG data recorded from 15 participants with ASC and 15 typical controls, during a face and chair matching task.Results: Results demonstrate a reduction of EEG signal complexity in the ASC group, compared to typical controls, over temporo-parietal and occipital regions. No significant differences in EEG power spectra were observed between groups, indicating that changes in complexity values are not a reflection of changes in EEG power spectra.Conclusions: The results are consistent with a model of atypical neural integrative capacity in people with ASC.Significance: Results suggest that EEG complexity, as indexed by MSE measures, may also be a marker for disturbances in task-specific processing of information in people with autism. (C) 2011 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.