Large-scale dysfunctional white matter and grey matter networks in patients with social anxiety disorder

Wen, Keren; Zhao, Youjin; Zhang, Feifei; Lui, Su; Kemp, Graham; Gong, Qiyong

doi:10.1016/j.isci.2022.105094

Cited by 2 publications

(1 citation statement)

References 72 publications

(80 reference statements)

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“…Furthermore, a recent study also presented evidence which elucidates the electrophysiological and structural foundation of BOLD WM-FC from the perspective of electrophysiological synchronization (Huang et al, 2023). The role of white matter signal in the field of rs-fMRI studies is increasingly recognized, and research has investigated the alteration of WM function in neuro-psychiatric disorders (Chen et al, 2023b;Cui et al, 2021;Fan et al, 2023;Jiang et al, 2019;Wen et al, 2022;Zhang et al, 2021b), which reveals disease related-abnormalities, provides new insights into brain pathophysiology, and potentially yields novel clinical biomarkers for brain diseases.…”

Section: Introductionmentioning

confidence: 99%

Static and Dynamic Connectivity Structure of White-Matter Functional Network across the Adult Lifespan

Linli,

Hu,

Guo

et al. 2024

Preprint

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Background. The maturation and ageing of the human brain involve intricate biological processes that result in complex changes in brain structure and function. Although the effects of aging on functional connectivity within gray matter (GM) regions have been extensively studied, the investigation of white matter (WM) functional changes remains limited. Methods. In this study, our aim was to investigate age-related trajectory in WM functional dynamics using resting-state functional magnetic resonance imaging (rs-fMRI) data from a large lifespan sample of 494 individuals. First, GM and WM functional networks (FNs) were identified by k-means clustering. Next, we performed static and dynamic analysis of WM functional network connectivity (FNC) to explore age effect on WM-FNs. Furthermore, we investigated recurrent patterns of dynamic FNC. Finally, we conducted several validation analyses to ensure replicability. Results. We identified 9 reliable WM and 12 GM FNs. The findings revealed age-related effects on WM FNC strength and WM-GM FNC dynamics, primarily including linear positive and U-shaped age trajectories in static FNC strength, as well as linear negative and inverted U-shaped age trajectories in FNC temporal variability. Additionally, we identified three distinct brain states with significant age-related differences. The aforementioned findings were largely replicated in the validation analysis. Conclusion. High integration and low temporal variability in WN-GM FNC may reflect a less efficient network system in older adults. These findings enhance our understanding of brain aging processes and provide insights into the trajectory of WM functional dynamics during normal ageing.

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Section: Introductionmentioning

confidence: 99%

Static and Dynamic Connectivity Structure of White-Matter Functional Network across the Adult Lifespan

Linli,

Hu,

Guo

et al. 2024

Preprint

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Alteration of the large-scale white-matter functional networks in autism spectrum disorder

Chen,

Zhuang,

Zhang

et al. 2023

Cerebral Cortex

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Autism spectrum disorder is a neurodevelopmental disorder whose core deficit is social dysfunction. Previous studies have indicated that structural changes in white matter are associated with autism spectrum disorder. However, few studies have explored the alteration of the large-scale white-matter functional networks in autism spectrum disorder. Here, we identified ten white-matter functional networks on resting-state functional magnetic resonance imaging data using the K-means clustering algorithm. Compared with the white matter and white-matter functional network connectivity of the healthy controls group, we found significantly decreased white matter and white-matter functional network connectivity mainly located within the Occipital network, Middle temporo-frontal network, and Deep network in autism spectrum disorder. Compared with healthy controls, findings from white-matter gray-matter functional network connectivity showed the decreased white-matter gray-matter functional network connectivity mainly distributing in the Occipital network and Deep network. Moreover, we compared the spontaneous activity of white-matter functional networks between the two groups. We found that the spontaneous activity of Middle temporo-frontal and Deep network was significantly decreased in autism spectrum disorder. Finally, the correlation analysis showed that the white matter and white-matter functional network connectivity between the Middle temporo-frontal network and others networks and the spontaneous activity of the Deep network were significantly correlated with the Social Responsiveness Scale scores of autism spectrum disorder. Together, our findings indicate that changes in the white-matter functional networks are associated behavioral deficits in autism spectrum disorder.

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Large-scale dysfunctional white matter and grey matter networks in patients with social anxiety disorder

Cited by 2 publications

References 72 publications

Static and Dynamic Connectivity Structure of White-Matter Functional Network across the Adult Lifespan

Static and Dynamic Connectivity Structure of White-Matter Functional Network across the Adult Lifespan

Alteration of the large-scale white-matter functional networks in autism spectrum disorder

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