Structural-functional coupling subtypes of major depressive disorder and their associations with genetic and neurotransmitter profiles

Motivation: The neurobiological underpinning of heterogeneity in structural-functional coupling (SFC) remains unclear in major depressive disorder (MDD). Goal(s): This study aims to explore subtypes of MDD based on SFC alteration and investigate their differences in clinical symptoms and the molecular basis of SFC alterations. Approach: We calculated SFC derived from resting-state fMRI and T1-weighted images, identified MDD subtypes based on its alterations, and correlated SFC alterations with clinical assessments, genes and neurotransmitters. Results: Two MDD subtypes characterized by increased and decreased SFC were identified in present study, respectively. They demonstrated differences in depressive symptoms and exhibited different molecular basis for their SFC alterations. Impact: Our study identified two neurophysiological subtypes of MDD, characterized by unique SFC alteration patterns, along with specific associations with genetic and neurotransmitter profiles. These subtypes may offer promising implications for personalized diagnosis and targeted treatment of MDD.

Authors

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/10.58530/2025/1125
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
0.00
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article

Structural-functional coupling subtypes of major depressive disorder and their associations with genetic and neurotransmitter profiles

Zhiyong Zhao, Bobo Gu, Jing Tao, Y. G. 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

Structural-functional coupling subtypes of major depressive disorder and their associations with genetic and neurotransmitter profiles

Zhiyong Zhao, Bobo Gu, Jing Tao, Y. G., Huaijin Gao, Dan Wu, Rui Qian
article en

Abstract

Motivation: The neurobiological underpinning of heterogeneity in structural-functional coupling (SFC) remains unclear in major depressive disorder (MDD). Goal(s): This study aims to explore subtypes of MDD based on SFC alteration and investigate their differences in clinical symptoms and the molecular basis of SFC alterations. Approach: We calculated SFC derived from resting-state fMRI and T1-weighted images, identified MDD subtypes based on its alterations, and correlated SFC alterations with clinical assessments, genes and neurotransmitters. Results: Two MDD subtypes characterized by increased and decreased SFC were identified in present study, respectively. They demonstrated differences in depressive symptoms and exhibited different molecular basis for their SFC alterations. Impact: Our study identified two neurophysiological subtypes of MDD, characterized by unique SFC alteration patterns, along with specific associations with genetic and neurotransmitter profiles. These subtypes may offer promising implications for personalized diagnosis and targeted treatment of MDD.

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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Structural-functional coupling subtypes of major depressive disorder and their associations with genetic and neurotransmitter profiles — Zhiyong Zhao, Bobo Gu, 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 (2025) | TGRS Research Map | TGRS