ArticleProceedings of the National Academy of Sciences of the United States of America2019
Functional connectomics of affective and psychotic pathology.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 1 of them a synthesis that pooled it.
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Who cites it
88 citing papers in PubMed, 1 synthesis or guideline pooled it, 172 citations in OpenAlex.
- The hierarchical taxonomy of psychopathology and the search for neurobiological substrates of mental illness: A systematic review and roadmap for future research.Journal of psychopathology and clinical science · 2024Pooled it
- Connectome dysfunction in patients at clinical high risk for psychosis and modulation by oxytocin.Molecular psychiatry · 2024Trial
- Frontoparietal paired associative stimulation versus single-site stimulation for generalized anxiety disorder: a pilot rTMS study.Journal of psychiatry & neuroscience : JPNTrial
- Concomitant pathologies and their impact on schizophrenia: a narrative overview of current evidence.Journal of neural transmission (Vienna, Austria : 1996) · 2026Review
- Developmental Brain Network Trajectories Differentiate Resilience and Vulnerability to Psychosis in 22q11.2 Deletion Syndrome.Biological psychiatry global open science · 2026Article
- Trajectories of psychotic symptoms and fronto-parietal resting state functional connectivity MRI following an antipsychotic trial in medication-naïve first-episode psychosis patients.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Article
- Linking temporal dynamics of children's natural behavior to brain development.Developmental cognitive neuroscience · 2026Article
- Multivariate relationships between social cognitive performance and functional connectivity during task and rest across schizophrenia spectrum disorders and healthy controls.Molecular psychiatry · 2026Article
- Negative symptoms and resting state functional connectivity: Leveraging ecological momentary assessment and individual-specific techniques.Schizophrenia research · 2026Article
- Cross-Disease Classification of Depression, Bipolar Disorder, and Schizophrenia Using Multiscale Spatiotemporal Network Fusion Features From fNIRS.Depression and anxiety · 2026Article
- Article
- Mapping neurophysiological and molecular profiles of heterogeneity and homogeneity in schizophrenia-bipolar disorder.Science advances · 2025Article
- Functional Coupling and Longitudinal Outcome Prediction in First-Episode Psychosis.Biological psychiatry global open science · 2025Article
- Interrelation Among the Developmental Trajectories of Brain, Cognition and Behavior During Adolescence.... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics · 2025Article
- Heightened familiarity drives the negative retrieval bias in depression: Evidence from the PRISM task.Computational brain & behavior · 2025Article
- Enhancing social cognition in psychosis - the potential role of open dialogue.Schizophrenia (Heidelberg, Germany) · 2025Article
- Common and disease-specific patterns of functional connectivity and topology alterations across unipolar and bipolar disorder during depressive episodes: a transdiagnostic study.Translational psychiatry · 2025Article
- Embracing variability in the search for biological mechanisms of psychiatric illness.Trends in cognitive sciences · 2025Review
- Task-Related Controllability of Functional Connectome During a Working Memory Task in Schizophrenia, Bipolar Disorder, and Major Depressive Disorder.Research (Washington, D.C.) · 2025Article
- An artificial intelligence-derived metabolic network predicts psychosis in Alzheimer's disease.Brain communications · 2025Article
28 more citing papers are in PubMed but not listed here.
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
Converging evidence indicates that groups of patients with nominally distinct psychiatric diagnoses are not separated by sharp or discontinuous neurobiological boundaries. In healthy populations, individual differences in behavior are reflected in variability across the collective set of functional brain connections (functional connectome). These data suggest that the spectra of transdiagnostic symptom profiles observed in psychiatric patients may map onto detectable patterns of network function. To examine the manner through which neurobiological variation might underlie clinical presentation, we obtained fMRI data from over 1,000 individuals, including 210 diagnosed with a primary psychotic disorder or affective psychosis (bipolar disorder with psychosis and schizophrenia or schizoaffective disorder), 192 presenting with a primary affective disorder without psychosis (unipolar depression, bipolar disorder without psychosis), and 608 demographically matched healthy comparison participants recruited through a large-scale study of brain imaging and genetics. Here, we examine variation in functional connectomes across psychiatric diagnoses, finding striking evidence for disease connectomic "fingerprints" that are commonly disrupted across distinct forms of pathology and appear to scale as a function of illness severity. The presence of affective and psychotic illnesses was associated with graded disruptions in frontoparietal network connectivity (encompassing aspects of dorsolateral prefrontal, dorsomedial prefrontal, lateral parietal, and posterior temporal cortices). Conversely, other properties of network connectivity, including default network integrity, were preferentially disrupted in patients with psychotic illness, but not patients without psychotic symptoms. This work allows us to establish key biological and clinical features of the functional connectomes of severe mental disease.
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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.