Connection-Level Multi-Omics Reveals Cerebellar-Cortical Dysconnectivity and Divergent Molecular Signatures Across Major Psychiatric Disorders

AI Summary

BrainNetAnno, an open-source framework, extends multi-omics mapping from regional nodes to inter-regional edges for molecular annotation of brain network connections.
A shared transdiagnostic abnormal connectivity pattern, STACP, shows cerebellar-cortical dysconnectivity across discovery and independent validation cohorts.
Mitochondrial molecular phenotypes are linked to STACP and selected DSCDs, whereas neurotransmitter receptor and transporter profiles are linked primarily to disorder-specific connectivity deviations.

TL;DR (AI Generated)

We applied this framework to resting-state functional connectivity data from a discovery cohort of 2,453 participants and an independent validation cohort of 442, including individuals with major depressive disorder, schizophrenia, generalized anxiety disorder, autism spectrum disorder, attention-deficit/hyperactivity disorder, and healthy controls.

CONCLUSIONS: These findings establish a robust, connection-level framework for linking large-scale connectome abnormalities to multi-omics molecular systems in psychiatric disorders.

Basic summary

Biol Psychiatry. 2026 Oct 3:S0006-3223(26)01579-9. doi: 10.1016/j.biopsych.2026.09.020. Online ahead of print.

ABSTRACT

BACKGROUND: Understanding how disease-related connectome alterations relate to underlying molecular systems remains a major challenge in psychiatric disorders.

METHODS: Here we introduce BrainNetAnno (https://brainnetanno.readthedocs.io/en/latest), an open-source framework for molecular annotation of brain network connections that extends multi-omics mapping from regional nodes to inter-regional edges. We applied this framework to resting-state functional connectivity data from a discovery cohort of 2,453 participants and an independent validation cohort of 442, including individuals with major depressive disorder, schizophrenia, generalized anxiety disorder, autism spectrum disorder, attention-deficit/hyperactivity disorder, and healthy controls.

RESULTS: Our analyses revealed a shared transdiagnostic abnormal connectivity pattern (STACP), characterized by cerebellar-cortical dysconnectivity, alongside distinct disorder-specific connectivity deviations (DSCDs) that exhibited structured inter-disorder relationships, including opposition, partial alignment, and near-orthogonality. These connectivity patterns were differentially associated with molecular systems, with mitochondrial phenotypes linked to the STACP and selected DSCDs, and neurotransmitter receptor/transporter profiles primarily associated with DSCDs.

CONCLUSIONS: These findings establish a robust, connection-level framework for linking large-scale connectome abnormalities to multi-omics molecular systems in psychiatric disorders.

PMID:42829056 | DOI:10.1016/j.biopsych.2026.09.020

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