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.
Authors
- Peng Wei (ORCID: https://orcid.org/0000-0003-4161-4511)
- Xia Liu (ORCID: https://orcid.org/0000-0002-9209-0562)
- Guoyuan Yang (ORCID: https://orcid.org/0000-0002-7864-3714)
- Wu Xin (ORCID: https://orcid.org/0000-0003-1193-3095)
- Siyu Long
- Ruiyang Ge
- Yujun Gao
- Bin Wan (ORCID: https://orcid.org/0000-0001-9077-3354)
- Xin Wen
- Ruifang Cui
- Lang Liu
- Xihan Zhang
Institutions
- 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)
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
Funders
- 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