ArticleNeuroImage. Clinical2019
Dynamic functional connectivity in schizophrenia and autism spectrum disorder: Convergence, divergence and classification.
Article in NeuroImage. Clinical, 2019. 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 73 papers, 2 of them syntheses that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
73 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Spontaneous Brain Activity Alterations in First-Episode Psychosis: A Meta-analysis of Functional Magnetic Resonance Imaging Studies.Schizophrenia bulletin · 2023Pooled it
- Autism spectrum disorder and schizophrenia: An updated conceptual review.Autism research : official journal of the International Society for Autism Research · 2022Pooled it
- Dynamic functional connectivity in borderline personality disorder: associations with trauma, emotion regulation and symptom severity.European archives of psychiatry and clinical neuroscience · 2026Article
- Safety and efficacy of intermittent theta burst stimulation (iTBS) in schizophrenia with predominant negative symptoms: A brief review.Indian journal of psychiatry · 2026Review
- Dynamic Resting-State Network Markers of Disruptive Behavior Problems in Youth.Biological psychiatry global open science · 2026Article
- Dynamic Fusion of Genomics and Functional Network Connectivity in UK Biobank Reveals Schizophrenia-Related SNP Manifolds.Human brain mapping · 2026Article
- Brain functional network connectivity interpolation characterizes the neuropsychiatric continuum and heterogeneity.bioRxiv : the preprint server for biology · 2026Article
- Dynamic Functional Connectivity, Major Depression, and Suicidal Ideation in Children.Human brain mapping · 2026Article
- A novel framework to quantify dynamic convergence and divergence of overlapping brain states characterizing four psychiatric disorders.Network neuroscience (Cambridge, Mass.) · 2026Article
- Differential connectivity between core hubs underlying demanding executive functions in schizophrenia compared to autism and control adults.Frontiers in psychiatry · 2026Article
- Independent Filter Analysis for Group Discrimination in fMRI.bioRxiv : the preprint server for biology · 2025Article
- Linking Connectivity Dynamics to Symptom Severity and Cognitive Abilities in Children with Autism Spectrum Disorder: An FNIRS Study.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Dynamic reconfiguration of brain coactivation states associated with active and lecture-based learning of university physics.NPJ science of learning · 2025Article
- Using the excitation/inhibition ratio to optimize the classification of autism and schizophrenia.Translational psychiatry · 2025Article
- A Method for Estimating Dynamic Functional Network Connectivity Gradients (dFNGs) From ICA Captures Smooth Inter-Network Modulation.Human brain mapping · 2025Article
- Studying time-resolved functional connectivity via communication theory: on the complementary nature of phase synchronization and sliding window Pearson correlation.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
- Altered Patterns of Dynamic Functional Connectivity Underpin Reduced Expressions of Social-Emotional Reciprocity in Autistic Adults.Autism research : official journal of the International Society for Autism Research · 2025Article
- Brain dynamics reflecting an intra-network brain state is associated with increased posttraumatic stress symptoms in the early aftermath of trauma.Nature. Mental health · 2025Article
- PET-MRI Applications and Future Prospects in Psychiatry.Journal of magnetic resonance imaging : JMRI · 2025Review
13 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
10 authors.
Funding
Abstract
backgroundOver the recent years there has been a growing debate regarding the extent and nature of the overlap in neuropathology between schizophrenia (SZ) and autism spectrum disorder (ASD). Dynamic functional network connectivity (dFNC) is a recent analysis method that explores temporal patterns of functional connectivity (FC). We compared resting-state dFNC in SZ, ASD and healthy controls (HC), characterized the associations between temporal patterns and symptoms, and performed a three-way classification analysis based on dFNC indices.
methodsResting-state fMRI was collected from 100 young adults: 33 SZ, 33 ASD, 34 HC. Independent component analysis (ICA) was performed, followed by dFNC analysis (window = 33 s, step = 1TR, k-means clustering). Temporal patterns were compared between groups, correlated with symptoms, and classified via cross-validated three-way discriminant analysis.
resultsBoth clinical groups displayed an increased fraction of time (FT) spent in a state of weak, intra-network connectivity [p < .001] and decreased FT in a highly-connected state [p < .001]. SZ further showed decreased number of transitions between states [p < .001], decreased FT in a widely-connected state [p < .001], increased dwell time (DT) in the weakly-connected state [p < .001], and decreased DT in the highly-connected state [p = .001]. Social behavior scores correlated with DT in the widely-connected state in SZ [r = 0.416, p = .043], but not ASD. Classification correctly identified SZ at high rates (81.8%), while ASD and HC at lower rates.
conclusionsResults indicate a severe and pervasive pattern of temporal aberrations in SZ (specifically, being "stuck" in a state of weak connectivity), that distinguishes SZ participants from both ASD and HC, and is associated with clinical symptoms.
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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.