ArticleNeuroImage. Clinical2020
Altered resting-state dynamic functional brain networks in major depressive disorder: Findings from the REST-meta-MDD consortium.
Article in NeuroImage. Clinical, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.
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66 citing papers in PubMed.
- Transcranial magnetic stimulation regulates brain functional network dynamics in stroke patients: a randomised controlled trial.Journal of neuroengineering and rehabilitation · 2025Trial
- Depression: higher temporal variability of the functional connectivity of the ventromedial prefrontal cortex and hippocampal system.NeuroImage. Clinical · 2026Article
- Detrended fluctuation analysis of amygdala-hippocampal beta synchrony reveals network rigidity in depression associated with temporal lobe epilepsy.Journal of neural engineering · 2026Article
- Dynamic frontoparietal flexibility and cognitive dysfunction in schizophrenia: disentangling the roles of symptom burden and childhood trauma.Psychological medicine · 2026Article
- FUNCTIONAL CONNECTIVITY ALTERATIONS IN MAJOR DEPRESSIVE DISORDER.bioRxiv : the preprint server for biology · 2026Article
- Identifying affective state via clustering of temporal variability in limbic activity and mediating role of negative emotion.Molecular psychiatry · 2026Article
- Comparing local brain activity and distant functional connectivity in transgender women compared to cisgender controls.Scientific reports · 2026Article
- Aberrant dynamic functional architecture in major depressive disorder: Vertex-Wise large-sample fMRI analyses reveal network-specific alterations and symptom associations.Translational psychiatry · 2026Article
- Dynamic Exploration of Resting-State Brain Attractors Altered in Major Depressive Disorder.Entropy (Basel, Switzerland) · 2026Article
- CCPD under sparsity and low-rank constraints: multi-frequency dynamic functional network connectivity analysis in schizophrenia.Frontiers in neuroscience · 2026Article
- Association between usage intensity of short video platforms and altered brain function: a resting-state functional magnetic resonance imaging study.Frontiers in human neuroscience · 2026Article
- Association of sleep symptom burden with default mode network homogeneity in first-episode drug-naïve adolescents with major depressive disorder.Frontiers in psychiatry · 2026Article
- Gender differences in gray matter volume of the anterior cingulate cortex and suicidal ideation in patients with major depressive disorder: evidence from the REST-meta-MDD project.Translational psychiatry · 2025Article
- Dynamic changes in hemispheric lateralization in major depressive disorder correlate with neurotransmitter and genetic profiles: a DIRECT consortium study.Translational psychiatry · 2025Article
- Review of Dynamic Resting-State Methods in Neuroimaging: Applications to Depression and Rumination.Human brain mapping · 2025Review
- Transdiagnostic connectome-based predictive modeling of many behavioral phenotypes reveals brain network mediators of clinical-cognitive relationships.bioRxiv : the preprint server for biology · 2025Article
- Random Walk-Based Node Feature Learning for Major Depressive Disorder Identification Through Multi-Site rs-fMRI Data.Human brain mapping · 2025Article
- Default mode network static-dynamic functional signatures in first-episode drug-naive major depressive disorder.Comprehensive psychoneuroendocrinology · 2025Article
- Brain functional connectivity changes in amyotrophic lateral sclerosis with apathy and depression.Journal of neurology · 2025Article
- Functional brain network dynamics of brooding in depression: Insights from real-time fMRI neurofeedback.Journal of affective disorders · 2025Article
6 more citing papers are in PubMed but not listed here.
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66 authors.
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Abstract
backgroundMajor depressive disorder (MDD) is known to be characterized by altered brain functional connectivity (FC) patterns. However, whether and how the features of dynamic FC would change in patients with MDD are unclear. In this study, we aimed to characterize dynamic FC in MDD using a large multi-site sample and a novel dynamic network-based approach.
methodsResting-state functional magnetic resonance imaging (fMRI) data were acquired from a total of 460 MDD patients and 473 healthy controls, as a part of the REST-meta-MDD consortium. Resting-state dynamic functional brain networks were constructed for each subject by a sliding-window approach. Multiple spatio-temporal features of dynamic brain networks, including temporal variability, temporal clustering and temporal efficiency, were then compared between patients and healthy subjects at both global and local levels.
resultsThe group of MDD patients showed significantly higher temporal variability, lower temporal correlation coefficient (indicating decreased temporal clustering) and shorter characteristic temporal path length (indicating increased temporal efficiency) compared with healthy controls (corrected p < 3.14×10
conclusionsOur findings suggest that excessive temporal variations of brain FC, reflecting abnormal communications between large-scale bran networks over time, may underlie the neuropathology of MDD.
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