ArticleFrontiers in psychiatry2018
Aberrant Dynamic Functional Network Connectivity and Graph Properties in Major Depressive Disorder.
Article in Frontiers in psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers, 3 of them syntheses that pooled it.
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Who cites it
91 citing papers in PubMed, 3 syntheses or guidelines pooled it, 159 citations in OpenAlex.
- Altered functional activity in bipolar disorder: A comprehensive review from a large-scale network perspective.Brain and behavior · 2021Pooled it
- Meta-analysis of cortical thickness abnormalities in medication-free patients with major depressive disorder.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020Pooled it
- Application of Graph Theory for Identifying Connectivity Patterns in Human Brain Networks: A Systematic Review.Frontiers in neuroscience · 2019Pooled it
- Computational modeling of prefrontal-amygdala circuits links functional connectivity alterations to circuit-level mechanisms in major depression.Journal of computational neuroscience · 2026Article
- Childhood absence epilepsy and distinct dynamic functional network connectivity patterns in self-limited epilepsy with centrotemporal spikes: a resting-state fMRI study.Pediatric research · 2026Article
- Network flexibility facilitates treatment-induced recovery in post-stroke aphasia.Brain communications · 2026Article
- A novel framework to quantify dynamic convergence and divergence of overlapping brain states characterizing four psychiatric disorders.Network neuroscience (Cambridge, Mass.) · 2026Article
- Review of Dynamic Resting-State Methods in Neuroimaging: Applications to Depression and Rumination.Human brain mapping · 2025Review
- Abnormal functional network connectivity mediates the relationship between depressive symptoms and cognitive decline in late-onset depression.Psychological medicine · 2025Article
- Aberrant brain dynamics in major depressive disorder during working memory task.European archives of psychiatry and clinical neuroscience · 2025Article
- Altered static and dynamic functional network connectivity in individuals with subthreshold depression: a large-scale resting-state fMRI study.European archives of psychiatry and clinical neuroscience · 2025Article
- Unraveling the Neural Landscape of Mental Disorders Using Double Functional Independent Primitives.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025Article
- The Impact of Atlas Parcellation on Functional Connectivity Analysis Across Six Psychiatric Disorders.Human brain mapping · 2025Article
- The different impacts of functional network centrality and connectivity on the complexity of brain signals in healthy control and first-episode drug-naïve patients with major depressive disorder.Brain imaging and behavior · 2025Article
- Monotonicity in graph theoretic summaries of fMRI data acquired during human learning.Frontiers in human neuroscience · 2025Article
- Altered dynamic functional connectivity in antagonistic state in first-episode, drug-naïve patients with major depressive disorder.BMC psychiatry · 2024Article
- Abnormal brain functional network dynamics in amyotrophic lateral sclerosis patients with depression.Brain imaging and behavior · 2024Article
- Dynamic functional network connectivity in children with profound bilateral congenital sensorineural hearing loss.Pediatric radiology · 2024Article
- Unraveling the Neural Landscape of Mental Disorders using Double Functional Independent Primitives (dFIPs).bioRxiv : the preprint server for biology · 2024Article
- Dynamic properties in functional connectivity changes and striatal dopamine deficiency in Parkinson's disease.Human brain mapping · 2024Article
31 more citing papers are in PubMed but not listed here.
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Authors and funding
14 authors at 7 institutions in 2 countries.
Funding
Abstract
Major depressive disorder (MDD) is a complex mood disorder characterized by persistent and overwhelming depression. Previous studies have identified abnormalities in large scale functional brain networks in MDD, yet most of them were based on static functional connectivity. In contrast, here we explored disrupted topological organization of dynamic functional network connectivity (dFNC) in MDD based on graph theory. One hundred and eighty-two MDD patients and 218 healthy controls were included in this study, all Chinese Han people. By applying group information guided independent component analysis (GIG-ICA) to resting-state functional magnetic resonance imaging (fMRI) data, the dFNCs of each subject were estimated using a sliding window method and k-means clustering. Network properties including global efficiency, local efficiency, node strength and harmonic centrality, were calculated for each subject. Five dynamic functional states were identified, three of which demonstrated significant group differences in their percentage of state occurrence. Interestingly, MDD patients spent much more time in a weakly-connected State 2, which includes regions previously associated with self-focused thinking, a representative feature of depression. In addition, the FNCs in MDD were connected differently in different states, especially among prefrontal, sensorimotor, and cerebellum networks. MDD patients exhibited significantly reduced harmonic centrality primarily involving parietal lobule, lingual gyrus and thalamus. Moreover, three dFNCs with disrupted node properties were commonly identified in different states, and also correlated with depressive symptom severity and cognitive performance. This study is the first attempt to investigate the dynamic functional abnormalities in MDD in a Chinese population using a relatively large sample size, which provides new evidence on aberrant time-varying brain activity and its network disruptions in MDD, which might underscore the impaired cognitive functions in this mental disorder.
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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.