ArticleFrontiers in psychiatry2022
Abnormal degree centrality values as a potential imaging biomarker for major depressive disorder: A resting-state functional magnetic resonance imaging study and support vector machine analysis.
Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed.
- Energetic implications of fMRI-based nodal complex network metrics: a complex picture unfolds across diverse brain states.bioRxiv : the preprint server for biology · 2026Article
- Family history, inflammation, and cerebellum in major depression: a combined VBM and dynamic functional connectivity study.Translational psychiatry · 2025Article
- Degree centrality values in the left calcarine as a potential imaging biomarker for anxious major depressive disorder.World journal of psychiatry · 2025Article
- Cognitive Decline in Patients With Trigeminal Neuralgia: A Resting-State fMRI Study.Brain and behavior · 2025Article
- Abnormal Functional Network Centrality and Causal Connectivity in Migraine Without Aura: A Resting-State fMRI Study.Brain and behavior · 2025Article
- Regional Homogeneity of the Left Posterior Cingulate Gyrus May Be a Potential Imaging Biomarker of Manic Episodes in First-Episode, Drug-Naive Bipolar Disorder.Neuropsychiatric disease and treatment · 2023Article
- Abnormal hubs in global network as potential neuroimaging marker in generalized anxiety disorder at rest.Frontiers in psychology · 2022Article
- Decreased degree centrality values as a potential neuroimaging biomarker for migraine: A resting-state functional magnetic resonance imaging study and support vector machine analysis.Frontiers in neurology · 2022Article
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6 authors.
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Abstract
Objective: Previous studies have revealed abnormal degree centrality (DC) in the structural and functional networks in the brains of patients with major depressive disorder (MDD). There are no existing reports on the DC analysis method combined with the support vector machine (SVM) to distinguish patients with MDD from healthy controls (HCs). Here, the researchers elucidated the variations in DC values in brain regions of MDD patients and provided imaging bases for clinical diagnosis. Methods: Patients with MDD ( Results: Compared with HCs, MDD patients displayed elevated DC values in the vermis, left anterior cerebellar lobe, hippocampus, and caudate, and depreciated DC values in the left posterior cerebellar lobe, left insula, and right caudate. As per the results of the SVM analysis, DC values in the left anterior cerebellar lobe and right caudate could distinguish MDD from HCs with accuracy, sensitivity, and specificity of 87.71% (353/432), 84.85% (168/198), and 79.06% (185/234), respectively. Our analysis did not reveal any significant correlation among the DC value and the disease duration or symptom severity in patients with MDD. Conclusion: Our study demonstrated abnormal DC patterns in patients with MDD. Aberrant DC values in the left anterior cerebellar lobe and right caudate could be presented as potential imaging biomarkers for the diagnosis of MDD.
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