Presentation Information
[P-1-02]Suicidal attempt history, childhood trauma, and functional brain network alterations in major depressive disorder: A resting-state functional connectivity-based multivariate pattern analysis
*Kyu-Man Han, Minjee Jung, Jihoon Park, Byung-Joo Ham (Department of Pscyhiatry, Korea University College of Medicine(Korea))
Keywords:
Major Depressive Disorder,Suicidal Attempts,Resting-State Functional Connectivity,Multivariate Pattern Analysis
Introduction: Dysfunctional brain network connectivity contributes to suicidality in major depressive disorder (MDD), and prior suicide attempts represent a critical risk factor. We compared resting-state functional connectivity (FC) among three groups—MDD patients with a history of suicide attempts (SD), MDD patients without such history (NSD), and healthy controls (HC)—and explored relationships with suicidal ideation and childhood trauma using FC-based multivariate pattern analysis (FC-MVPA).
Methods: A total of 204 adults were enrolled: 61 SD, 62 NSD, and 81 HC. Resting-state fMRI data were preprocessed and analyzed with the CONN toolbox. FC-MVPA identified regions exhibiting significant group differences; these regions then served as seeds for seed-to-voxel and ROI-to-ROI connectivity analyses.
Results: FC-MVPA highlighted group differences in the frontal pole, posterior cingulate cortex, lateral occipital cortex, cuneus, and angular gyrus. Subsequent analyses revealed 58 connections that varied across groups, 29 of which discriminated SD from NSD. These connections predominantly involved the visual and default mode networks. Notably, reduced FC between the cuneus and medial orbitofrontal cortex correlated with higher suicidal ideation, whereas increased FC between the lateral occipital cortex and supramarginal gyrus correlated with greater childhood trauma exposure.
Conclusion: Suicidality in MDD appears linked to disrupted integration between perceptual (visual) and regulatory (prefrontal/default mode) networks. Connectivity alterations associated with suicide risk and childhood trauma underscore large-scale network dysfunction as a potential mechanism. Patterns of FC—particularly between the visual cortex and prefrontal regions—may serve as neuroimaging biomarkers of suicide risk in MDD.
Methods: A total of 204 adults were enrolled: 61 SD, 62 NSD, and 81 HC. Resting-state fMRI data were preprocessed and analyzed with the CONN toolbox. FC-MVPA identified regions exhibiting significant group differences; these regions then served as seeds for seed-to-voxel and ROI-to-ROI connectivity analyses.
Results: FC-MVPA highlighted group differences in the frontal pole, posterior cingulate cortex, lateral occipital cortex, cuneus, and angular gyrus. Subsequent analyses revealed 58 connections that varied across groups, 29 of which discriminated SD from NSD. These connections predominantly involved the visual and default mode networks. Notably, reduced FC between the cuneus and medial orbitofrontal cortex correlated with higher suicidal ideation, whereas increased FC between the lateral occipital cortex and supramarginal gyrus correlated with greater childhood trauma exposure.
Conclusion: Suicidality in MDD appears linked to disrupted integration between perceptual (visual) and regulatory (prefrontal/default mode) networks. Connectivity alterations associated with suicide risk and childhood trauma underscore large-scale network dysfunction as a potential mechanism. Patterns of FC—particularly between the visual cortex and prefrontal regions—may serve as neuroimaging biomarkers of suicide risk in MDD.