ArticleHuman brain mapping2019
Brain network dynamics in schizophrenia: Reduced dynamism of the default mode network.
Article in Human brain mapping, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 2 of them syntheses that pooled it.
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Who cites it
56 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Multivariate brain-behaviour associations in psychiatric disorders.Translational psychiatry · 2024Pooled it
- A technical review of canonical correlation analysis for neuroscience applications.Human brain mapping · 2020Pooled it
- Neurophysiological effects of transcranial alternating current stimulation combined with multidisciplinary rehabilitation in Parkinson's disease.Frontiers in psychiatry · 2026Trial
- Catecholaminergic Modulation of Large-Scale Network Dynamics Is Tied to the Reconfiguration of Corticostriatal Connectivity.Human brain mapping · 2024Trial
- Electroconvulsive therapy shifting brain dynamics toward more adaptive and integrated states in treatment-resistant depression based on a hidden markov model.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026Article
- Brain network dynamics reflect psychiatric illness status and transdiagnostic symptom profiles across health and disease.Nature communications · 2026Article
- Nasal and oral breathing modes reconfigure brain network dynamics between stabilizing integration and promoting fragmentation.Scientific reports · 2026Article
- Resting-state fMRI using hidden Markov models reveals abnormal dynamic brain functional states in asthma.Scientific reports · 2026Article
- NeuroMark-DyFICA: NeuroMark dynamic frequency-informed ICA with high-frequency spatial filtering for windowed fMRI analysis.Network neuroscience (Cambridge, Mass.) · 2026Article
- Altered Brain Network Dynamics in Schizophrenia Patients With Predominant Negative Symptoms: A Resting-State fMRI Study Using Co-Activation Pattern Analysis.Human brain mapping · 2025Article
- Neural Processes Linking Interoception to Moral Preferences Aligned with Group Consensus.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Transition and dynamic reconfiguration in late-life depression based on hidden Markov model.Npj mental health 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
- Differences in EEG complexity of cognitive activities among subtypes of schizophrenia.Frontiers in psychiatry · 2025Article
- Altered brain dynamics in post-stroke cognitive and motor dysfunction.Frontiers in aging neuroscience · 2025Article
- Cortisol awakening response prompts dynamic reconfiguration of brain networks in emotional and executive functioning.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Extracting interpretable signatures of whole-brain dynamics through systematic comparison.PLoS computational biology · 2024Article
- EEG resting state alpha dynamics predict an individual's vulnerability to auditory hallucinations.Cognitive neurodynamics · 2024Article
- Dynamic functional connectivity and gene expression correlates in temporal lobe epilepsy: insights from hidden markov models.Journal of translational medicine · 2024Article
- Extracting interpretable signatures of whole-brain dynamics through systematic comparison.bioRxiv : the preprint server for biology · 2024Article
Corrections and comments
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8 authors.
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Abstract
Complex human behavior emerges from dynamic patterns of neural activity that transiently synchronize between distributed brain networks. This study aims to model the dynamics of neural activity in individuals with schizophrenia and to investigate whether the attributes of these dynamics associate with the disorder's behavioral and cognitive deficits. A hidden Markov model (HMM) was inferred from resting-state functional magnetic resonance imaging (fMRI) data that was temporally concatenated across individuals with schizophrenia (n = 41) and healthy comparison individuals (n = 41). Under the HMM, fluctuations in fMRI activity within 14 canonical resting-state networks were described using a repertoire of 12 brain states. The proportion of time spent in each state and the mean length of visits to each state were compared between groups, and canonical correlation analysis was used to test for associations between these state descriptors and symptom severity. Individuals with schizophrenia activated default mode and executive networks for a significantly shorter proportion of the 8-min acquisition than healthy comparison individuals. While the default mode was activated less frequently in schizophrenia, the duration of each activation was on average 4-5 s longer than the comparison group. Severity of positive symptoms was associated with a longer proportion of time spent in states characterized by inactive default mode and executive networks, together with heightened activity in sensory networks. Furthermore, classifiers trained on the state descriptors predicted individual diagnostic status with an accuracy of 76-85%.
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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.