medRxivJClub
State-independent functional connectomic architecture captures transdiagnostic network alterations and clinical variation
medRxiv · · Preprint · Open access
Zhang, Zhang + 7 more
Abstract ↗AI summary
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Two reproducible state-independent connectivity alterations emerge across seven fMRI states in 377 YaleNeuroConnect participants, including a cerebello-cortical pattern linked to clinical variation.
- Why it matters: Psychiatric diagnoses overlap yet differ clinically, and it remains unclear whether shared abnormalities and individual differences reflect stable, state-independent brain architecture rather than task-specific connectivity.
- What they did: Principal component analysis derived a state-independent connectivity representation from each participant’s functional connectivity across one resting-state and six task-based conditions, followed by network-based statistics for case-control differences and validation in a separate UCLA cohort.
- The result: The cerebello-cortical connectivity pattern showed consistent case-control differences across states and generalized to UCLA, and greater expression associated with lower positive affect, greater psychopathology, and more everyday executive difficulties in the Yale psychiatric group.
The findingWhy it mattersWhat they didThe result
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