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NeuroMark-SZ: A Holistic Resting-State-fMRI-Based Model for Divergent Functional Circuitry in Schizophrenia
bioRxiv · · Preprint · Open access
Jensen, Ballem + 14 more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
A reliable schizophrenia rsfMRI functional connectivity signature shows aberrantly stronger negative cerebellothalamic and positive thalamocortical connectivity in a multi-site dataset (N = 2,656; schizophrenia = 1,248).
- Why it matters: Prior resting-state connectivity frameworks are limited by smaller samples, confirmation bias, and incomplete handling of individual variability, medication effects, and chronicity.
- What they did: Using reference-guided ICA, the study derived subject-specific whole-brain FNC and modeled links to medication dosage, age of onset, chronicity, symptom severity, and cognitive performance.
- The result: Medication and chronicity were significantly associated with these signatures, but core cerebellothalamic disruptions remained robust, enabling a high-fidelity open-source template for schizophrenia biomarker development.
The findingWhy it mattersWhat they didThe result
- Open access