Schwartz Sophie, Kessler Riley, Gaughan Thomas, Buckley Ashura W
Graduate Program for Neuroscience, Boston University, Boston, Massachusetts.
Pediatrics and Developmental Neuroscience Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland.
Pediatr Neurol. 2017 Feb;67:7-22. doi: 10.1016/j.pediatrneurol.2016.10.018. Epub 2016 Oct 28.
Electrophysiologic studies suggest that autism spectrum disorder is characterized by aberrant anatomic and functional neural circuitry. During normal brain development, pruning and synaptogenesis facilitate ongoing changes in both short- and long-range neural wiring. In developmental disorders such as autism, this process may be perturbed and lead to abnormal neural connectivity. Careful analysis of electrophysiologic connectivity patterns using EEG coherence may provide a way to probe the resulting differences in neurological function between people with and without autism. There is general consensus that electroencephalogram coherence patterns differ between individuals with and without autism spectrum disorders; however, the exact nature of the differences and their clinical significance remain unclear. Here we review recent literature comparing electroencephalogram coherence patterns between patients with autism spectrum disorders or at high risk for autism and their nonautistic or low-risk for autism peers.
电生理研究表明，自闭症谱系障碍的特征是神经回路在解剖结构和功能上异常。在正常的大脑发育过程中，神经修剪和突触形成促进了短期和长期神经布线的持续变化。在自闭症等发育障碍中，这个过程可能会受到干扰，导致神经连接异常。使用脑电图相干性对电生理连接模式进行仔细分析，可能为探究自闭症患者与非自闭症患者神经功能的差异提供一种方法。人们普遍认为，自闭症谱系障碍患者与非自闭症谱系障碍患者的脑电图相干性模式存在差异；然而，这些差异的确切性质及其临床意义仍不清楚。在这里，我们回顾了最近的文献，比较了自闭症谱系障碍患者或自闭症高危人群与非自闭症或自闭症低危人群之间的脑电图相干性模式。
