ArticleBiological psychiatry2024
A Brainwide Risk Score for Psychiatric Disorder Evaluated in a Large Adolescent Population Reveals Increased Divergence Among Higher-Risk Groups Relative to Control Participants.
Article in Biological psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers, 1 of them a synthesis that pooled it.
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18 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.
- Aberrant cortical-subcortical-cerebellar connectivity in resting-state fMRI as an imaging marker of schizophrenia and psychosis: a systematic review of data-driven whole-brain functional connectivity analyses.Frontiers in neuroimaging · 2025Pooled it
- Schizophrenia: from mechanism to therapy.Science China. Life sciences · 2026Review
- Neuroimaging Summary Scores Predict Trajectories of Psychotic-Like Experiences in Youth.medRxiv : the preprint server for health sciences · 2026Article
- An interpretable cross-attentive multi-modal MRI fusion framework for schizophrenia identification.Neuroimage. Reports · 2026Article
- Brain functional network connectivity interpolation characterizes the neuropsychiatric continuum and heterogeneity.bioRxiv : the preprint server for biology · 2026Article
- A novel framework to quantify dynamic convergence and divergence of overlapping brain states characterizing four psychiatric disorders.Network neuroscience (Cambridge, Mass.) · 2026Article
- Cellular and molecular associations with intrinsic brain organization.Nature communications · 2025Article
- Cellular and molecular associations with intrinsic brain organization.bioRxiv : the preprint server for biology · 2025Article
- Toward Granular Brain Intrinsic Connectivity Networks and Insights into Schizophrenia.bioRxiv : the preprint server for biology · 2025Article
- Unraveling the Neural Landscape of Mental Disorders Using Double Functional Independent Primitives.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025Article
- Neuroimage Analysis Methods and Artificial Intelligence Techniques for Reliable Biomarkers and Accurate Diagnosis of Schizophrenia: Achievements Made by Chinese Scholars Around the Past Decade.Schizophrenia bulletin · 2025Review
- Ultrafine brain intrinsic connectivity networks template via very-high-order independent component analysis of large-scale resting-state functional magnetic resonance imaging data.Frontiers in neuroscience · 2025Article
- Providing context: Extracting non-linear and dynamic temporal motifs from brain activity.PloS one · 2025Article
- Neurodevelopmental subtypes of functional brain organization in the ABCD study using a rigorous analytic framework.NeuroImage · 2024Article
- Unraveling the Neural Landscape of Mental Disorders using Double Functional Independent Primitives (dFIPs).bioRxiv : the preprint server for biology · 2024Article
- Searching Reproducible Brain Features using NeuroMark: Templates for Different Age Populations and Imaging Modalities.NeuroImage · 2024Article
- Neurodevelopmental Subtypes of Functional Brain Organization in the ABCD Study Using a Rigorous Analytic Framework.bioRxiv : the preprint server for biology · 2024Article
- Brain functional network connectivity interpolation characterizes the neuropsychiatric continuum and heterogeneity.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
- Erratum issuedErratum.2024
Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundAccurate psychiatric risk assessment requires biomarkers that are both stable and adaptable to development. Functional network connectivity (FNC), which steadily reconfigures over time, potentially contains abundant information to assess psychiatric risks. However, the absence of suitable analytical methodologies has constrained this area of investigation.
methodsWe investigated the brainwide risk score (BRS), a novel FNC-based metric that contrasts the relative distances of an individual's FNC to that of psychiatric disorders versus healthy control references. To generate group-level disorder and healthy control references, we utilized a large brain imaging dataset containing 5231 total individuals diagnosed with schizophrenia, autism spectrum disorder, major depressive disorder, and bipolar disorder and their corresponding healthy control individuals. The BRS metric was employed to assess the psychiatric risk in 2 new datasets: Adolescent Brain Cognitive Development (ABCD) Study (n = 8191) and Human Connectome Project Early Psychosis (n = 170).
resultsThe BRS revealed a clear, reproducible gradient of FNC patterns from low to high risk for each psychiatric disorder in unaffected adolescents. We found that low-risk ABCD Study adolescent FNC patterns for each disorder were strongly present in over 25% of the ABCD Study participants and homogeneous, whereas high-risk patterns of each psychiatric disorder were strongly present in about 1% of ABCD Study participants and heterogeneous. The BRS also showed its effectiveness in predicting psychosis scores and distinguishing individuals with early psychosis from healthy control individuals.
conclusionsThe BRS could be a new image-based tool for assessing psychiatric vulnerability over time and in unaffected individuals, and it could also serve as a potential biomarker, facilitating early screening and monitoring interventions.
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