ArticleBrain and behavior2019
Aberrant brain network topology in fronto-limbic circuitry differentiates euthymic bipolar disorder from recurrent major depressive disorder.
Article in Brain and behavior, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.
- Altered functional activity in bipolar disorder: A comprehensive review from a large-scale network perspective.Brain and behavior · 2021Pooled it
- Moral emotion processing in euthymic bipolar disorder: insights from network analysis.European archives of psychiatry and clinical neuroscience · 2026Article
- Neural correlates of rumination in remitted depressive episodes: Brain network connectivity and topology analyses.World journal of psychiatry · 2025Article
- Changes of functional brain network topology associated with nutritional indicator of patients with recurrent major depressive disorder.Frontiers in nutrition · 2025Article
- Aberrant Large-Scale Network Interactions Across Psychiatric Disorders Revealed by Large-Sample Multi-Site Resting-State Functional Magnetic Resonance Imaging Datasets.Schizophrenia bulletin · 2023Article
- Functional connectivity alterations of the somatomotor network in euthymic bipolar disorder.Neuroscience applied · 2023Article
- Incorporating multi-stage diagnosis status to mine associations between genetic risk variants and the multi-modality phenotype network in major depressive disorder.Frontiers in psychiatry · 2023Article
- Identification and discovery of imaging genetic patterns using fusion self-expressive network in major depressive disorder.Frontiers in neuroscience · 2023Article
- Aberrant Subnetwork and Hub Dysconnectivity in Adult Bipolar Disorder: A Multicenter Graph Theory Analysis.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Differences in network properties of the structural connectome in bipolar and unipolar depression.Psychiatry research. Neuroimaging · 2022Article
- BMRMI Reduces Depressive Rumination Possibly through Improving Abnormal FC of Dorsal ACC.Neural plasticity · 2022Article
- Understanding complex functional wiring patterns in major depressive disorder through brain functional connectome.Translational psychiatry · 2021Review
- Aberrant brain network topology in the frontoparietal-limbic circuit in bipolar disorder: a graph-theory study.European archives of psychiatry and clinical neuroscience · 2021Article
- The neuroprogressive nature of major depressive disorder: evidence from an intrinsic connectome analysis.Translational psychiatry · 2021Article
- White matter abnormalities and cognitive function in euthymic patients with bipolar disorder and major depressive disorder.Brain and behavior · 2020Article
- Resting-State Network Patterns Underlying Cognitive Function in Bipolar Disorder: A Graph Theoretical Analysis.Brain connectivity · 2020Article
- Frontolimbic, Frontoparietal, and Default Mode Involvement in Functional Dysconnectivity in Psychotic Bipolar Disorder.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2020Article
- Aberrant brain network topology in fronto-limbic circuitry differentiates euthymic bipolar disorder from recurrent major depressive disorder.Brain and behavior · 2019Article
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionPrevious studies have established graph theoretical analysis of functional network connectivity (FNC) as a potential tool to detect neurobiological underpinnings of psychiatric disorders. Despite the promising outcomes in studies that examined FNC aberrancies in bipolar disorder (BD) and major depressive disorder (MDD), there is still a lack of research comparing both mood disorders, especially in a nondepressed state. In this study, we used graph theoretical network analysis to compare brain network properties of euthymic BD, euthymic MDD and healthy controls (HC) to evaluate whether these groups showed distinct features in FNC.
methodsWe collected resting-state functional magnetic resonance imaging (fMRI) data from 20 BD patients, 15 patients with recurrent MDD as well as 30 age- and gender-matched HC. Graph theoretical analyses were then applied to investigate functional brain networks on a global and regional network level.
resultsGlobal network analysis revealed a significantly higher mean global clustering coefficient in BD compared to HC. We further detected frontal, temporal and subcortical nodes in emotion regulation areas such as the limbic system and associated regions exhibiting significant differences in network integration and segregation in BD compared to MDD patients and HC. Participants with MDD and HC only differed in frontal and insular network centrality.
conclusionIn conclusion, our findings indicate that a significantly altered brain network topology in the limbic system might be a trait marker specific to BD. Brain network analysis in these regions may therefore be used to differentiate euthymic BD not only from HC but also from patients with MDD.
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