Abnormal temporal variability of rich-club organization in three major psychiatric conditions

Frontiers in Psychiatry

Psychiatry

Yu Fu¹  Meng Niu²  Hanning Guo³  Zhe Zhang⁴ 

[1] College of Information Science & Electronic Engineering, Zhejiang University, Hangzhou, China;Department of Radiology, The First Hospital of Lanzhou University, Lanzhou, China;Intelligent Imaging Medical Engineering Research Center of Gansu Province, Lanzhou, China;Accurate Image Collaborative Innovation International Science and Technology Cooperation Base of Gansu Province, Lanzhou, China;Institute of Neuroscience and Medicine, Medical Imaging Physics (INM-4), Forschungszentrum Jülich, Jülich, Germany;School of Physics, Hangzhou Normal University, Hangzhou, China;Institute of Brain Science, Hangzhou Normal University, Hangzhou, China;

关键词: major psychiatric disorders;    rich-club organization;    temporal properties;    functional connectivity;    brain networks;   

DOI  :  10.3389/fpsyt.2023.1226143

 received in 2023-05-20, accepted in 2023-08-07,  发布年份 2023

来源: Frontiers

【 摘 要 】

IntroductionConvergent evidence has demonstrated a shared rich-club reorganization across multiple major psychiatric conditions. However, previous studies assessing altered functional couplings between rich-club regions have typically focused on the mean time series from entire functional magnetic resonance imaging (fMRI) scanning session, neglecting their time-varying properties.MethodsIn this study, we aim to explore the common and/or unique alterations in the temporal variability of rich-club organization among schizophrenia (SZ), bipolar disorder (BD), and attention deficit/hyperactivity disorder (ADHD). We employed a temporal rich-club (TRC) approach to quantitatively assess the propensity of well-connected nodes to form simultaneous and stable structures in a temporal network derived from resting-state fMRI data of 156 patients with major psychiatric disorders (SZ/BD/ADHD = 71/45/40) and 172 healthy controls. We executed the TRC workflow at both whole-brain and subnetwork scales across varying network sparsity, sliding window strategies, lengths and steps of sliding windows, and durations of TRC coefficients.ResultsThe SZ and BD groups displayed significantly decreased TRC coefficients compared to corresponding HC groups at the whole-brain scale and in most subnetworks. In contrast, the ADHD group exhibited reduced TRC coefficients in longer durations, as opposed to shorter durations, which markedly differs from the SZ and BD groups. These findings reveal both transdiagnostic and illness-specific patterns in temporal variability of rich-club organization across SZ, BD, and ADHD.DiscussionTRC may serve as an effective metric for detecting brain network disruptions in particular states, offering novel insights and potential biomarkers into the neurobiological basis underpinning the behavioral and cognitive deficits observed in these disorders.

【 授权许可】

Unknown   
Copyright © 2023 Niu, Guo, Zhang and Fu.