Subtypes of adolescent major depressive disorder characterized by divergent information dynamics in sensory-association cortices

Adolescent major depressive disorder (MDD) involves complex and heterogeneous alterations in brain functional organization. A possible explanation is the disruption of individualized brain maturation during adolescence, which typically transitions from lower-order sensory to higher-order association regions. To test this hypothesis, we analyzed resting-state functional MRI data using advanced matrix decomposition techniques to extract organizational gradients, temporal dynamics, and information flow. Clustering sensory-association gradient features in our main sample (N<sub>MDD</sub> = 302 and N<sub>Controls</sub> = 207; ages 11-17) revealed two subtypes. Subtype 1 showed bottom‑up (sensory‑to‑association) flow, reduced synergy but heightened redundancy in sensory cortices, and a highly modular yet globally inefficient network-patterns consistent with aberrant sensory processing and impaired integration. Subtype 2 instead displayed a top‑down (association‑to‑sensory) flow, reduced synergy in association areas, elevated redundancy in sensory regions, and network efficiency between subtype 1 and healthy controls, suggesting compensatory higher‑order engagement. Subtypes also differed in age-related changes, clinical profiles, and neurobiological processing. These patterns were largely replicated in an independent sample (N<sub>MDD</sub> = 73 and N<sub>Controls</sub> = 28). Overall, the sensory-association axis distinguishes MDD subtypes, integrating functional heterogeneity, cortical dynamics, developmental trajectories, and genetic influences, offering new insights for pathophysiology and precision psychiatry.

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Publication Details

Journal
Nature Communications
Published
2026-02-22
DOI
https://doi.org/10.1038/s41467-026-69697-2
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Subtypes of adolescent major depressive disorder characterized by divergent information dynamics in sensory-association cortices

Peng Wei, Xia Liu, Guoyuan Yang, Wu Xin et al.
Nature Communications
Functional Brain Connectivity Studies
article

Subtypes of adolescent major depressive disorder characterized by divergent information dynamics in sensory-association cortices

Peng Wei, Xia Liu, Guoyuan Yang, Wu Xin, Siyu Long, Ruiyang Ge, Yujun Gao, Bin Wan, Xin Wen, Ruifang Cui, Lang Liu, Xihan Zhang
article en

Abstract

Adolescent major depressive disorder (MDD) involves complex and heterogeneous alterations in brain functional organization. A possible explanation is the disruption of individualized brain maturation during adolescence, which typically transitions from lower-order sensory to higher-order association regions. To test this hypothesis, we analyzed resting-state functional MRI data using advanced matrix decomposition techniques to extract organizational gradients, temporal dynamics, and information flow. Clustering sensory-association gradient features in our main sample (N<sub>MDD</sub> = 302 and N<sub>Controls</sub> = 207; ages 11-17) revealed two subtypes. Subtype 1 showed bottom‑up (sensory‑to‑association) flow, reduced synergy but heightened redundancy in sensory cortices, and a highly modular yet globally inefficient network-patterns consistent with aberrant sensory processing and impaired integration. Subtype 2 instead displayed a top‑down (association‑to‑sensory) flow, reduced synergy in association areas, elevated redundancy in sensory regions, and network efficiency between subtype 1 and healthy controls, suggesting compensatory higher‑order engagement. Subtypes also differed in age-related changes, clinical profiles, and neurobiological processing. These patterns were largely replicated in an independent sample (N<sub>MDD</sub> = 73 and N<sub>Controls</sub> = 28). Overall, the sensory-association axis distinguishes MDD subtypes, integrating functional heterogeneity, cortical dynamics, developmental trajectories, and genetic influences, offering new insights for pathophysiology and precision psychiatry.

Nature Communications
University of Geneva (CH), Beijing Institute of Technology (CN), Montreal Neurological Institute and Hospital (CA), Fujian Medical University (CN), University of British Columbia (CA), University of Electronic Science and Technology of China (CN), Forschungszentrum Jülich (DE), Yale University (US), Max Planck Institute for Human Cognitive and Brain Sciences (DE), Wuhan University of Science and Technology (CN), McGill University (CA), Taiyuan University of Technology (CN), Stanford University (US)
Health Commission of Hubei Province, International Max Planck Research School for Environmental, Cellular and Molecular Microbiology, National Natural Science Foundation of China, China Three Gorges University, Mitacs, China Scholarship Council, Beijing Institute of Technology, Wuhan University, Peking University, Wuhan University of Science and Technology, International Max Planck Research School for Advanced Methods in Process and Systems Engineering, Renmin Hospital of Wuhan University, Graduiertenakademie, Technische Universität Dresden
Openalex Percentile: Top 49%
Functional Brain Connectivity Studies
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