Institute of Clinical Physiology, National Council of Research (CNR) , Pisa , Italy.
Front Hum Neurosci. 2013 Aug 5;7:442. doi: 10.3389/fnhum.2013.00442. eCollection 2013.
Autism-Spectrum Disorders (ASD) are thought to be associated with abnormalities in neural connectivity at both the global and local levels. Quantitative electroencephalography (QEEG) is a non-invasive technique that allows a highly precise measurement of brain function and connectivity. This review encompasses the key findings of QEEG application in subjects with ASD, in order to assess the relevance of this approach in characterizing brain function and clustering phenotypes. QEEG studies evaluating both the spontaneous brain activity and brain signals under controlled experimental stimuli were examined. Despite conflicting results, literature analysis suggests that QEEG features are sensitive to modification in neuronal regulation dysfunction which characterize autistic brain. QEEG may therefore help in detecting regions of altered brain function and connectivity abnormalities, in linking behavior with brain activity, and subgrouping affected individuals within the wide heterogeneity of ASD. The use of advanced techniques for the increase of the specificity and of spatial localization could allow finding distinctive patterns of QEEG abnormalities in ASD subjects, paving the way for the development of tailored intervention strategies.
自闭症谱系障碍(ASD)被认为与全球和局部水平的神经连接异常有关。定量脑电图(QEEG)是一种非侵入性技术,可以高度精确地测量大脑功能和连接。本综述涵盖了 QEEG 在 ASD 受试者中的应用的主要发现,以评估这种方法在描述大脑功能和聚类表型方面的相关性。研究评估了自发脑活动和受控实验刺激下的脑信号的 QEEG 研究。尽管结果存在冲突,但文献分析表明,QEEG 特征对神经元调节功能障碍的改变敏感,而这种功能障碍是自闭症大脑的特征。因此,QEEG 可能有助于检测大脑功能和连接异常的区域,将行为与大脑活动联系起来,并在 ASD 的广泛异质性中对受影响的个体进行亚组分类。使用提高特异性和空间定位的先进技术可能会在 ASD 患者中找到独特的 QEEG 异常模式,为制定定制干预策略铺平道路。