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Abstract #1124

Edge-centric connectome representation reveal altered brain functional diversity in patients with major depressive disorder

Kun Qin1, Lisha Zhang2, Nanfang Pan2, Weiyin Vivian Liu3, and Wen Chen1
1Department of Radiology, Taihe Hospital, Shiyan, China, 2West China Hospital of Sichuan University, Chengdu, China, 3MR Research, GE Healthcare, Beijing, China

Synopsis

Keywords: Psychiatric Disorders, Psychiatric Disorders

Motivation: Traditional node-centric networks neglect edge-edge interactions, limiting the assessment of functional diversity patterns that may underlie critical neural mechanisms of major depressive disorder (MDD).

Goal(s): Using edge-centric connectome model to investigate abnormal functional diversity in MDD and explore its neurobiological underpinnings and clinical significance.

Approach: A cross-sectional, multi-site study of over 1600 participants, comparing regional functional diversity between MDD and controls. Neurobiological decoding and clinical contextualization analyses of abnormal functional diversity were conducted.

Results: MDD patients showed increased functional diversity of widespread prefrontal and subcortical areas, which was neurobiologically related to neuroinflammation and serotonin. Edge-centric, compared with node-centric models exhibited better classification performance.

Impact: This study demonstrated that edge-centric connectome could serve as a valuable complement to node-centric approaches, offering deeper insights into the neurobiological mechanisms related to functional diversity abnormalities in MDD and highlighting its promising clinical application value for diagnosis.

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