IEEE Trans Neural Syst Rehabil Eng. 2019 Jun;27(6):1139-1148. doi: 10.1109/TNSRE.2019.2912416. Epub 2019 Apr 22.
The main objective of this paper is to determine whether resting-state fMRI can identify functional connectivity differences between individuals with autism who experience severe issues with restricted, repetitive, and stereotypical behaviors, those who experience only mild issues, and controls. We use resting-state fMRI data from the ABIDE-I preprocessed repository, with participants grouped according to their ADI-R Restricted, Repetitive, and Stereotyped Patterns of Behavior Subscore. Three processing methods are used for analysis. A time-correlation approach establishes a basic baseline, and we introduce a method based on sliding time windows, with means across time adjusted to consider the fraction of time the correlation measure is above/below average. We complement these with a band-limited coherence approach. For completeness, preprocessing schemes with and without global signal regression are considered. Our results are in line with recent ones which find both over- and under-connectivities in the autistic brain. We find that there are indeed significant differences in connectivity between various regions that differentiate between ASD subjects with severe stereotypical/restrictive behavior issues, those with only mild issues, and controls. Interestingly, for some regions, the "signature" of subjects in the milder of the ASD groups appears to be distinct (i.e., over- or under-connected) relative to both the more severe ASD group and the controls.
本文的主要目的是确定静息态 fMRI 是否可以识别出在受限、重复和刻板行为方面存在严重问题的自闭症个体、仅存在轻度问题的自闭症个体和对照组之间的功能连接差异。我们使用来自 ABIDE-I 预处理存储库的静息态 fMRI 数据,根据参与者在 ADI-R 受限、重复和刻板行为子得分方面的分组进行分析。我们使用了三种处理方法。时间相关方法建立了一个基本基线,我们引入了一种基于滑动时间窗口的方法,该方法通过调整时间平均值来考虑相关测量值高于/低于平均值的时间比例。我们还使用带限相干性方法进行补充。为了完整性,我们还考虑了使用和不使用全局信号回归的预处理方案。我们的结果与最近的研究结果一致,这些研究结果发现自闭症患者的大脑中存在过度和不足的连接。我们发现,在连接方面,确实存在各种区域之间的显著差异,这些差异可以区分存在严重刻板/受限行为问题的 ASD 受试者、仅存在轻度问题的 ASD 受试者和对照组。有趣的是,对于一些区域,轻度 ASD 组的受试者的“特征”似乎与更严重的 ASD 组和对照组明显不同(即过度或不足连接)。