Multi-Scale Structural MRI Features Reveal Task-Based Functional Connectivity and Its Alterations in Psychiatric Disorders: A Collaborative Graph Attention Network Approach
The Collaborative Graph Attention Multi-Task Network (CoGA-MTN), a deep learning framework that integrates multi-scale structural features to jointly predict task-based functional connectivity (FC) and identify potential disease-related network alterations, is introduced.
Major Depressive Disorder (MDD) is a complex psychiatric illness characterized by distributed brain network alterations. Resting-state functional Magnetic Resonance Imaging (fMRI) offers a non-invasive probe of these functional disruptions, but its high-dimensional and subtle patterns necessitate computational decoding...
Ting Chen, Binbin Zhou, Lin Sun· Discover Computing· 0 citations
BACKGROUND
Major depressive disorder (MDD) is a highly heterogeneous affective disorder, and the identification of reliable neuroimaging markers remains challenging. Resting-state functional magnetic resonance imaging offers a promising approach for characterizing altered brain functional organization in MDD. However,...
Ting Mei, Man-Yun Zhu, Hongbo Zhu et al.· Journal of Affective Disorde...· 0 citations
This study introduces a graph theory-based machine learning framework to analyze functional brain networks in Multiple Sclerosis (MS) patients during working memory tasks. Using fMRI data from 22 participants (8 MS patients/14 controls) performing a Persian n-back task, we constructed functional connectivity networks w...
Sareh Yousefi, M. Daliri· Brain Informatics· 0 citations
An Adaptive Multi-band Dynamic Functional-Connectivity Graph Attention Network (AMD-FCGAT) that represents resting-state electroencephalography as a set of band-resolved brain graphs and learns disease-specific connectivity signatures through attention offers an accurate and transparent tool for electroencephalography-...
Sumit Gupta, U. N. Ranjitha, J. G. S. Banu et al.· International journal of com...· 5 citations
Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by atypical large-scale brain network organization. Using the comprehensive Autism Brain Imaging Data Exchange (ABIDE-I and ABIDE-II; n = 2013 participants), this study systematically evaluated three representative graph neural network (GNN)...