Connectome-based growth models reveal individual heterogeneity and neurophysiological subtypes of subthreshold depression

Motivation: Subthreshold depression (StD) poses a high risk for major depressive disorder and exhibits substantial clinical heterogeneity. However, the neurobiological substrates underlying this heterogeneity remain largely unknown. Goal(s): Quantitatively assess the heterogeneity in individual functional connectome abnormalities in StD, and based on this, identify distinct neurophysiological subtypes. Approach: We constructed normative models of the functional connectome to identify individual deviations and determine subtypes in StD. Results: StD participants showed remarkable heterogeneity in individual deviations, leading to the identification of two subtypes. These subtypes exhibit differences in brain deviation patterns, depressive symptoms, gene expression profiles, and treatment responses. Impact: The findings provide valuable insights into the understanding of heterogeneous clinical forms of StD and offer promising implications for future precise diagnosis and treatment of this condition.

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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/10.58530/2025/0499
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
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article

Connectome-based growth models reveal individual heterogeneity and neurophysiological subtypes of subthreshold depression

Mingrui Xia, Dongtao Wei, Zhangzhang Qi, 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
Functional Brain Connectivity Studies
article

Connectome-based growth models reveal individual heterogeneity and neurophysiological subtypes of subthreshold depression

Mingrui Xia, Dongtao Wei, Zhangzhang Qi, Lingjiang Li, Yong He, Tianmei Si, Qian Tao, Guanmao Chen, Jingliang Cheng, Qiyong Gong, Bangshan Liu, Chu‐Chung Huang, Shijun Qiu, Xuan Bu, Ying Wang, Yuan Chen, Chao Chen, Pan Chen, Shu Zhang, Fei Wang, Peng Xie, Yanting Zheng, Zhiliang Guo, Jiang Qiu, Yanqing Tang, Yuqi Cheng, Ran Chen, Yankun Wu, Xiufeng Xu, Xiaoyi Sun, Xinyue Tang, Xiaoqin Wang
article en

Abstract

Motivation: Subthreshold depression (StD) poses a high risk for major depressive disorder and exhibits substantial clinical heterogeneity. However, the neurobiological substrates underlying this heterogeneity remain largely unknown. Goal(s): Quantitatively assess the heterogeneity in individual functional connectome abnormalities in StD, and based on this, identify distinct neurophysiological subtypes. Approach: We constructed normative models of the functional connectome to identify individual deviations and determine subtypes in StD. Results: StD participants showed remarkable heterogeneity in individual deviations, leading to the identification of two subtypes. These subtypes exhibit differences in brain deviation patterns, depressive symptoms, gene expression profiles, and treatment responses. Impact: The findings provide valuable insights into the understanding of heterogeneous clinical forms of StD and offer promising implications for future precise diagnosis and treatment of this condition.

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 75%
Functional Brain Connectivity Studies
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