Heterogeneous lifespan development of functional networks in major depression and its association with clinical and gene expression profiles

Motivation: Depression is a heterogeneous disorder linked to abnormal development of functional networks across the lifespan. However, neurodevelopmental heterogeneity in depression is not well understood. Goal(s): To investigate heterogeneous neurodevelopmental functional networks abnormalities in depression and their associations with clinical and gene expression profiles. Approach: We assessed brain age gap in depression using machine learning, identified divergent developmental trajectories of network topography, and conducted multivariate analyses of topography with clinical symptoms and gene expressions. Results: Depression-related brain age gaps were primarily associated with abnormal topography of ventral attention and sensorimotor networks, revealing two distinct developmental trajectories linked to specific clinical and gene expression profiles. Impact: Our results highlight the heterogeneity of neurodevelopment in depression and suggest potential underlying molecular mechanisms, providing deeper insights into the disorder's progression and supporting the identification of biomarkers for precise diagnosis and treatment.

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Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/0214
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
0.00
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article

Heterogeneous lifespan development of functional networks in major depression and its association with clinical and gene expression profiles

Yong He, Mingrui Xia, Dongtao Wei, Lingjiang Li et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Mental Health Research Topics
article

Heterogeneous lifespan development of functional networks in major depression and its association with clinical and gene expression profiles

Yong He, Mingrui Xia, Dongtao Wei, Lingjiang Li, Tianmei Si, Jingliang Cheng, Qiyong Gong, Bangshan Liu, Chu‐Chung Huang, Peng Xie, Ching‐Po Lin, Yuan Chen, Xiaoqin Wang, Fei Wang, Yanting Zheng, Jiang Qiu, Yanqing Tang, Yuqi Cheng, Yankun Wu, Shijun Qiu, Xiufeng Xu, Xiaoyi Sun, Chenxuan Pang
article en

Abstract

Motivation: Depression is a heterogeneous disorder linked to abnormal development of functional networks across the lifespan. However, neurodevelopmental heterogeneity in depression is not well understood. Goal(s): To investigate heterogeneous neurodevelopmental functional networks abnormalities in depression and their associations with clinical and gene expression profiles. Approach: We assessed brain age gap in depression using machine learning, identified divergent developmental trajectories of network topography, and conducted multivariate analyses of topography with clinical symptoms and gene expressions. Results: Depression-related brain age gaps were primarily associated with abnormal topography of ventral attention and sensorimotor networks, revealing two distinct developmental trajectories linked to specific clinical and gene expression profiles. Impact: Our results highlight the heterogeneity of neurodevelopment in depression and suggest potential underlying molecular mechanisms, providing deeper insights into the disorder's progression and supporting the identification of biomarkers for precise diagnosis and treatment.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 74%
Mental Health Research Topics
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