ArticleNature communications2022
Derivation and utility of schizophrenia polygenic risk associated multimodal MRI frontotemporal network.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Neuroanatomical and transcriptomic correlates of attention in schizophrenia.Schizophrenia research. Cognition · 2026Article
- Polygenic risk for schizophrenia is associated with psychomotor vigilance performance impairment during sleep deprivation in women.Translational psychiatry · 2026Article
- Multimodal fusion of brain imaging and proteomics reveals a brain-body pathway linking depression and metabolic dysfunction.Psychological medicine · 2026Article
- Application of artificial intelligence in schizophrenia rehabilitation management: a systematic scoping review.Translational psychiatry · 2026Article
- Multisite Chronic Pain Reveals Neuro-Immune-Metabolic Dysregulation across Rheumatoid Arthritis and Depression.Research (Washington, D.C.) · 2026Article
- Multimodal biological profiles of symptom-based subgroups in recent-onset psychosis.Research square · 2025Article
- Multimodal data fusion in neuroscience: promises, challenges and future directions.IEEE signal processing magazine · 2025Article
- Neuroimaging Data Informed Mood and Psychosis Diagnosis Using an Ensemble Deep Multimodal Framework.Human brain mapping · 2025Article
- The Impact of Atlas Parcellation on Functional Connectivity Analysis Across Six Psychiatric Disorders.Human brain mapping · 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
- Key regions aberrantly connected within cerebello-thalamo-cortical circuit and their genetic mechanism in schizophrenia: an fMRI meta-analysis and transcriptome study.Schizophrenia (Heidelberg, Germany) · 2025Review
- BIGFormer: A Graph Transformer With Local Structure Awareness for Diagnosis and Pathogenesis Identification of Alzheimer's Disease Using Imaging Genetic Data.IEEE journal of biomedical and health informatics · 2025Article
- Attention-mediated genetic influences on psychotic symptomatology in adolescence.Nature. Mental health · 2024Article
- Unveiling Promising Neuroimaging Biomarkers for Schizophrenia Through Clinical and Genetic Perspectives.Neuroscience bulletin · 2024Review
- Associations of alcohol and tobacco use with psychotic, depressive and developmental disorders revealed via multimodal neuroimaging.Translational psychiatry · 2024Article
- SpaDE: Semantic Locality Preserving Biclustering for Neuroimaging Data.bioRxiv : the preprint server for biology · 2024Article
- Cross-cohort replicable resting-state functional connectivity in predicting symptoms and cognition of schizophrenia.Human brain mapping · 2024Article
- Polygenic effects on brain functional endophenotype for deficit and non-deficit schizophrenia.Schizophrenia (Heidelberg, Germany) · 2024Article
- Joint multi-site domain adaptation and multi-modality feature selection for the diagnosis of psychiatric disorders.NeuroImage. Clinical · 2024Article
- Changes in patterns of age-related network connectivity are associated with risk for schizophrenia.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
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16 authors.
Funding
Abstract
Schizophrenia is a highly heritable psychiatric disorder characterized by widespread functional and structural brain abnormalities. However, previous association studies between MRI and polygenic risk were mostly ROI-based single modality analyses, rather than identifying brain-based multimodal predictive biomarkers. Based on schizophrenia polygenic risk scores (PRS) from healthy white people within the UK Biobank dataset (N = 22,459), we discovered a robust PRS-associated brain pattern with smaller gray matter volume and decreased functional activation in frontotemporal cortex, which distinguished schizophrenia from controls with >83% accuracy, and predicted cognition and symptoms across 4 independent schizophrenia cohorts. Further multi-disease comparisons demonstrated that these identified frontotemporal alterations were most severe in schizophrenia and schizo-affective patients, milder in bipolar disorder, and indistinguishable from controls in autism, depression and attention-deficit hyperactivity disorder. These findings indicate the potential of the identified PRS-associated multimodal frontotemporal network to serve as a trans-diagnostic gene intermediated brain biomarker specific to schizophrenia.
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