Normal Aging-Related Brain Morphological Connectivity Network Linked to Multiple Neurological Diseases

Motivation: The interaction between aging and neurological diseases at the brain network level remains unclear. Goal(s): This study aim to elucidated network mechanisms underlying the complex interactions between aging and neurological diseases. Approach: First, individual morphological connectivity networks (MCNs) were constructed for HC group . The aging-related subnetworks were identified and spatially correlated with disease-related MCN disruptions.Further, regression coefficients of the aging-related subnetworks were calculated for each patient and correlated with clinical variables. Finally, biological maps from the neuromaps toolbox were utilized to interpret the aging-related subnetworks biologically. Results: The results highlighted that normal aging interacts with various neurological diseases both transdiagnostically and diagnosis-specifically. Impact: This understanding may provide new insights for improving clinical disease management by evaluating aging effects.