Cofluctuation analysis reveals aberrant default mode network patterns in adolescents and youths with autism spectrum disorder. Issue 15 (4th July 2022)

• Record Type: Journal Article
• Authors: Li, Lei; Su, Xiaoran; Zheng, Qingyu; Xiao, Jinming; Huang, Xin Yue; Chen, Wan; Yang, Kaihua; Nie, Lei; Yang, Xin; Chen, Huafu; Shi, Shengli; Duan, Xujun
• Is Part Of: Human brain mapping. Volume 43:Issue 15(2022)
• Page Start: 4722
• Page End: 4732
• Publication Date: 2022-07-04
• Subjects: Brain mapping -- Periodicals; 611.81
• DOI: 10.1002/hbm.25986
• Languages: English
• ISSNs: 1065-9471

Abstract

Abstract: Resting‐state functional connectivity (rsFC) approaches provide informative estimates of the functional architecture of the brain, and recently‐proposed cofluctuation analysis temporally unwraps FC at every moment in time, providing refined information for quantifying brain dynamics. As a brain network disorder, autism spectrum disorder (ASD) was characterized by substantial alteration in FC, but the contribution of moment‐to‐moment‐activity cofluctuations to the overall dysfunctional connectivity pattern in ASD remains poorly understood. Here, we used the cofluctuation approach to explore the underlying dynamic properties of FC in ASD, using a large multisite resting‐state functional magnetic resonance imaging (rs‐fMRI) dataset (ASD = 354, typically developing controls [TD] = 446). Our results verified that the networks estimated using high‐amplitude frames were highly correlated with the traditional rsFC. Moreover, these frames showed higher average amplitudes in participants with ASD than those in the TD group. Principal component analysis was performed on the activity patterns in these frames and aggregated over all subjects. The first principal component (PC1) corresponds to the default mode network (DMN), and the PC1 coefficients were greater in participants with ASD than those in the TD group. Additionally, increased ASD symptom severity was associated with the increased coefficients, which may result in excessive internally oriented cognition and social cognition deficits in individuals with ASD. Our finding highlights the utility of cofluctuation approaches in prevalent neurodevelopmental disorders and verifies that the aberrant contribution of DMN to rsFC may underline the symptomatology in adolescents and youths with ASD. Abstract : The present study used cofluctuation method to decompose the functional connections into their exact frame‐wise contributions and observed the aberrant DMN pattern and overly stable dynamic properties in adolescents and youths with ASD. Our finding highlights the utility of cofluctuation approaches in prevalent neurodevelopmental disorders and verifies that the aberrant characteristics of DMN may underline the symptomatology in participants with ASD.