ArticleProceedings of the National Academy of Sciences of the United States of America2023
Changes in patterns of age-related network connectivity are associated with risk for schizophrenia.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 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
- Resting-state brain age is associated with cognitive and sensorimotor abnormalities in schizophrenia spectrum disorders: a validation & longitudinal study.Translational psychiatry · 2026Article
- Genetic Risk and Resilience for Schizophrenia Stratified by Perinatal Gene Expression Predict Adult Cognitive Performance.bioRxiv : the preprint server for biology · 2026Article
- Resting-State Brain Age Predicts Cognitive and Sensorimotor Deficits in Schizophrenia Spectrum Disorders: A Validation & Longitudinal Study.Research square · 2026Article
- Replicated evidence for an accelerated rate of whole-body aging in schizophrenia.Psychological medicine · 2026Article
- A graph transformer-based foundation model for brain functional connectivity network.Pattern recognition · 2026Article
- Group Information Guided Smooth Independent Component Analysis Method for Multi-Subject fMRI Data Analysis.IEEE journal of biomedical and health informatics · 2026Article
- Disentangling shared and unique brain functional changes associated with clinical severity and cognitive phenotypes in schizophrenia via deep learning.Communications biology · 2025Article
- Altered Brain-Behavior Association During Resting State is a Potential Psychosis Risk Marker.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- NeuroTree: Hierarchical Functional Brain Pathway Decoding for Mental Health Disorders.Proceedings of machine learning research · 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
- Can artificial intelligence be the future solution to the enormous challenges and suffering caused by Schizophrenia?Schizophrenia (Heidelberg, Germany) · 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
- Addressing brain metabolic connectivity in treatment-resistant schizophrenia: a novel graph theory-driven application ofSchizophrenia (Heidelberg, Germany) · 2024Article
- Attention-mediated genetic influences on psychotic symptomatology in adolescence.Nature. Mental health · 2024Article
- Sex dimorphism controls dysbindin-related cognitive dysfunctions in mice and humans with the contribution of COMT.Molecular psychiatry · 2024Article
- Triple Interactions Between the Environment, Brain, and Behavior in Children: An ABCD Study.Biological psychiatry · 2024Article
- Age-associated alterations in thalamocortical structural connectivity in youths with a psychosis-spectrum disorder.Schizophrenia (Heidelberg, Germany) · 2023Article
- 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
Corrections and comments
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Authors and funding
22 authors at 8 institutions in 3 countries.
Funding
Abstract
Alterations in fMRI-based brain functional network connectivity (FNC) are associated with schizophrenia (SCZ) and the genetic risk or subthreshold clinical symptoms preceding the onset of SCZ, which often occurs in early adulthood. Thus, age-sensitive FNC changes may be relevant to SCZ risk-related FNC. We used independent component analysis to estimate FNC from childhood to adulthood in 9,236 individuals. To capture individual brain features more accurately than single-session fMRI, we studied an average of three fMRI scans per individual. To identify potential familial risk-related FNC changes, we compared age-related FNC in first-degree relatives of SCZ patients mostly including unaffected siblings (SIB) with neurotypical controls (NC) at the same age stage. Then, we examined how polygenic risk scores for SCZ influenced risk-related FNC patterns. Finally, we investigated the same risk-related FNC patterns in adult SCZ patients (oSCZ) and young individuals with subclinical psychotic symptoms (PSY). Age-sensitive risk-related FNC patterns emerge during adolescence and early adulthood, but not before. Young SIB always followed older NC patterns, with decreased FNC in a cerebellar-occipitoparietal circuit and increased FNC in two prefrontal-sensorimotor circuits when compared to young NC. Two of these FNC alterations were also found in oSCZ, with one exhibiting reversed pattern. All were linked to polygenic risk for SCZ in unrelated individuals (R
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.