Vasa Roma A, Mostofsky Stewart H, Ewen Joshua B
Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute; Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine.
Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute; Department of Neurology, Johns Hopkins University School of Medicine; Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine.
Biol Psychiatry Cogn Neurosci Neuroimaging. 2016 May;1(3):245-252. doi: 10.1016/j.bpsc.2016.02.003.
During the past decade, the disrupted connectivity theory has generated considerable interest as a pathophysiological model for autism spectrum disorders (ASD). This theory postulates that deficiencies in the way the brain coordinates and synchronizes activity amongst different regions may account for the clinical symptoms of ASD. This review critically examines the current structural and functional connectivity data in ASD and evaluates unresolved assumptions and gaps in knowledge that limit the interpretation of these data. Collectively, studies very often show group alterations in what are thought of as measures of cerebral connectivity, though the patterns of findings vary considerably. We argue that there are three principle needs in this research agenda. First, further basic research is needed to understand the links between measures commonly used (DTI, fMRI, EEG) and other (histological, computational) levels of analysis. Second, speculated causes of inconsistencies in the literature (age, clinical heterogeneity) demand studies that directly evaluate these interpretations. Finally, the field needs well-specified mechanistic models of altered cerebral communication in ASD whose predictions can be tested on multiple levels of analyses.
在过去十年中,作为自闭症谱系障碍(ASD)的一种病理生理模型,连通性中断理论引发了广泛关注。该理论假定,大脑协调和同步不同区域活动的方式存在缺陷,可能是ASD临床症状的成因。本综述批判性地审视了当前ASD的结构和功能连通性数据,并评估了限制这些数据解释的未解决假设和知识空白。总体而言,尽管研究结果的模式差异很大,但研究常常显示出在被视为大脑连通性测量指标方面的组间差异。我们认为,该研究议程有三个主要需求。首先,需要进一步开展基础研究,以了解常用测量方法(弥散张量成像、功能磁共振成像、脑电图)与其他(组织学、计算)分析层面之间的联系。其次,文献中推测的不一致原因(年龄、临床异质性)需要通过直接评估这些解释的研究来验证。最后,该领域需要明确阐述ASD中大脑交流改变的机制模型,其预测可在多个分析层面进行检验。