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孤独症谱系障碍动态全脑功能连接的非典型皮质改变能力初步研究。

A preliminary study of atypical cortical change ability of dynamic whole-brain functional connectivity in autism spectrum disorder.

机构信息

School of Science, Hangzhou Dianzi University, Hangzhou, Zhejiang, PR China.

出版信息

Int J Neurosci. 2022 Mar;132(3):213-225. doi: 10.1080/00207454.2020.1806837. Epub 2020 Aug 18.

Abstract

OBJECTIVES

Designing new objectively diagnostic methods of autism spectrum disorder (ASD) are burning questions. Dynamic functional connectivity (DFC) methodology based on fMRI data are an effective lever to investigate changeability evolution of signal synchronization in macroscopic neural activity patterns.

METHODS

Embracing the network dynamics concepts, this paper introduces changeability index (-score)which is focused on time-varying aspects of FCs, and develops a new framework for researching the roots of ASD brains at resting states in holism significance. The important process is to uncover noticeable regions and subsystems endowed with antagonistic stance in -scores of between atypical and typical DFCs of 30 healthy controls (HCs) and 48 ASD patients.

RESULTS

The abnormities of edge C-scores are found across widespread brain cortex in ASD brains. For whole brain regional C-scores of ASD patients, orbitofrontal middle cortex L, inferior triangular frontal gyrus L, middle occipital gyrus L, postcentral gyrus L, supramarginal L, supramarginal R, cerebellum 8 L, and cerebellum 10 Rare endowed with significantly different -scores.At brain subsystems level, C-scores in left hemisphere, right hemisphere, top hemisphere, bottom hemisphere, frontal lobe, parietal lobe, occipital lobe, cerebellum sub systems are abnormal in ASD patients.

CONCLUSIONS

The ASD brains have whole-brain abnormity on widespread regions. Through the strict evidence-based study, it was found that the changeability index (C-score) is a meaningful biological marker to explore cortical activity in ASD.

摘要

目的

设计新的自闭症谱系障碍(ASD)客观诊断方法是当务之急。基于 fMRI 数据的动态功能连接(DFC)方法是研究宏观神经活动模式中信号同步变化性的有效手段。

方法

本文基于网络动力学概念,引入了关注 FC 时变方面的变异性指数(-score),并开发了一个新的框架,从整体意义上研究 ASD 大脑在静息状态下的根源。重要的过程是揭示在 30 名健康对照(HCs)和 48 名 ASD 患者的异常和典型 DFC 之间的 -score 中具有拮抗立场的显著区域和子系统。

结果

在 ASD 大脑中发现了广泛脑皮层中边缘 C-scores 的异常。对于 ASD 患者的全脑区域 C-scores,左侧眶额中皮质 L、左侧下三角额回、左侧中枕回、左侧后中央回、左侧缘上回、右侧缘上回、小脑 8L 和小脑 10 罕见的具有显著不同的 -score。在脑子系统水平,ASD 患者的左侧半球、右侧半球、顶叶半球、底部半球、额叶、顶叶、枕叶、小脑子系统的 C-scores 异常。

结论

ASD 大脑在广泛区域存在全脑异常。通过严格的基于证据的研究,发现变异性指数(C-score)是探索 ASD 皮质活动的有意义的生物学标志物。

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