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Abstract
Investigating brain network properties in BD patients across mood states can offer insights into the underlying mechanisms of the disorder. This study aimed to explore the topological architecture of functional brain networks in BD and its relationship with clinical variables and genetic/transcriptomic variations. The study involved 100 BD patients and 95 healthy controls. Researchers used graph theory-based methods to analyze whole-brain functional networks and explore their relationship with clinical variables. We also conducted a neuroimaging-transcription association analysis using the Allen Human Brain Atlas. Depressive and manic BD patients exhibited increased local efficiency and decreased global efficiency at the global network level compared to healthy controls. Nodal-level analysis revealed disrupted nodal parameters within specific brain networks, including the fronto-parietal, default mode, and somatomotor networks. Significant correlations were found between nodal properties and cognitive function. All BD groups showed enhanced connectivity strength in rich-club and feeder connections compared to controls. Neuroimaging-transcription analysis identified potential genetic factors related to BD. Our investigation unveiled shared impairments in the overall topological architecture of functional brain networks across depressive, manic, and euthymic BD. These observed abnormalities were associated with cognitive deficits in BD patients across three mood states. These common deficits, possibly stemming from the segregated changes in structural and functional rich-club connections, might represent trait-like pathophysiological mechanisms inherent to BD. Furthermore, our neuroimaging-transcription association analysis indicates the potential use of brain functional anomalies as endophenotypes in BD.
Published Version
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