ArticleHuman brain mapping2021
Transdiagnostic time-varying dysconnectivity across major psychiatric disorders.
Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 49 citations in OpenAlex.
- Shared subcortical-default mode morphological dysconnectivity in adolescent bipolar disorder, major depressive disorder and schizophrenia.Communications biology · 2026Article
- Lag-structure in fMRI across Three Psychiatric Groups: State-dependency and Clinical-behavioral Correlates.Brain topography · 2025Article
- Aberrant brain dynamics in major depressive disorder during working memory task.European archives of psychiatry and clinical neuroscience · 2025Article
- Classification of schizophrenia spectrum disorder using machine learning and functional connectivity: reconsidering the clinical application.BMC psychiatry · 2025Article
- Coactivation patterns reveal the abnormality of dynamic state transitions between different psychiatric disorders.Scientific reports · 2025Article
- Sequential patterning of dynamic brain states distinguish Parkinson's disease patients with mild cognitive impairments.NeuroImage. Clinical · 2025Article
- Exploring functional connectivity in clinical and data-driven groups of preterm and term adults.Brain communications · 2025Article
- Diagnostically distinct resting state fMRI energy distributions: A subject-specific maximum entropy modeling study.bioRxiv : the preprint server for biology · 2024Article
- Psychosis superspectrum II: neurobiology, treatment, and implications.Molecular psychiatry · 2024Review
- Aberrant Brain Dynamics in Schizophrenia During Working Memory Task: Evidence From a Replication Functional MRI Study.Schizophrenia bulletin · 2024Article
- Aberrant Large-Scale Network Interactions Across Psychiatric Disorders Revealed by Large-Sample Multi-Site Resting-State Functional Magnetic Resonance Imaging Datasets.Schizophrenia bulletin · 2023Article
- Dysconnectivity in Schizophrenia Revisited: Abnormal Temporal Organization of Dynamic Functional Connectivity in Patients With a First Episode of Psychosis.Schizophrenia bulletin · 2023Article
- Dense Sampling Approaches for Psychiatry Research: Combining Scanners and Smartphones.Biological psychiatry · 2023Review
- Frequency-specific coactivation patterns in resting-state and their alterations in schizophrenia: An fMRI study.Human brain mapping · 2022Article
- Two distinct subtypes of obsessive compulsive disorder revealed by heterogeneity through discriminative analysis.Human brain mapping · 2022Article
- Multiframe Evolving Dynamic Functional ConnectivityFrontiers in neuroscience · 2022Article
- Association Between Antidepressant Efficacy and Interactions of Three Core Depression-Related Brain Networks in Major Depressive Disorder.Frontiers in psychiatry · 2022Article
- Gender differences in major depressive disorders: A resting state fMRI study.Frontiers in psychiatry · 2022Article
- Machine learning approaches for diagnosing depression using EEG: A review.Translational neuroscience · 2022Review
- Regularized Functional Connectivity in Schizophrenia.Frontiers in human neuroscience · 2022Article
Corrections and comments
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Authors and funding
14 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dynamic functional connectivity (DFC) analysis can capture time-varying properties of connectivity. However, studies on large samples using DFC to investigate transdiagnostic dysconnectivity across schizophrenia (SZ), bipolar disorder (BD), and major depressive disorder (MDD) are rare. In this study, we used resting-state functional magnetic resonance imaging and a sliding-window method to study DFC in a total of 610 individuals (150 with SZ, 100 with BD, 150 with MDD, and 210 healthy controls [HC]) at a single site. Using k-means clustering, DFCs were clustered into three functional connectivity states: one was a more frequent state with moderate positive and negative connectivity (State 1), and the other two were less frequent states with stronger positive and negative connectivity (State 2 and State 3). Significant 4-group differences (SZ, BD, MDD, and HC groups; q < .05, false-discovery rate [FDR]-corrected) in DFC were nearly only in State 1. Post hoc analyses (q < .05, FDR-corrected) in State 1 showed that transdiagnostic dysconnectivity patterns among SZ, BD and MDD featured consistently decreased connectivity within most networks (the visual, somatomotor, salience and frontoparietal networks), which was most obvious in both range and extent for SZ. Our findings suggest that there is more common dysconnectivity across SZ, BD and MDD than we previously expected and that such dysconnectivity is state-dependent, which provides new insights into the pathophysiological mechanism of major psychiatric disorders.
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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.