ArticleNeural plasticity2021
Abnormal Default-Mode Network Homogeneity in Melancholic and Nonmelancholic Major Depressive Disorder at Rest.
Article in Neural plasticity, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Altered network homogeneity of the default mode network in patients with tension-type headache.Frontiers in neurology · 2026Article
- Potential correlations between abnormal homogeneity of default mode network and personality or lipid level in major depressive disorder.Brain and behavior · 2024Article
- Association between abnormal default mode network homogeneity and sleep disturbances in major depressive disorder.General psychiatry · 2024Article
- Structural Neuroimaging and Molecular Signatures of Drug-Naive Depression With Melancholic Features.Depression and anxiety · 2024Article
- Functional and structural alterations as diagnostic imaging markers for depression inFrontiers in neuroscience · 2023Article
- Decreased Connectivity in Precuneus of the Ventral Attentional Network in First-Episode, Treatment-Naïve Patients With Major Depressive Disorder: A Network Homogeneity and Independent Component Analysis.Frontiers in psychiatry · 2022Article
- The aberrant dynamic amplitude of low-frequency fluctuations in melancholic major depressive disorder with insomnia.Frontiers in psychiatry · 2022Article
- Abnormal Voxel-Based Degree Centrality in Patients With Postpartum Depression: A Resting-State Functional Magnetic Resonance Imaging Study.Frontiers in neuroscience · 2022Article
- Multiple-Network Alterations in Major Depressive Disorder With Gastrointestinal Symptoms at Rest Revealed by Global Functional Connectivity Analysis.Frontiers in neuroscience · 2022Article
- The Bilateral Precuneus as a Potential Neuroimaging Biomarker for Right Temporal Lobe Epilepsy: A Support Vector Machine Analysis.Frontiers in psychiatry · 2022Article
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10 authors.
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Abstract
Background: Melancholic depression has been assumed as a severe type of major depressive disorder (MDD). We aimed to explore if there were some distinctive alterations in melancholic MDD and whether the alterations could be used to discriminate the melancholic MDD and nonmelancholic MDD. Methods: Thirty-one outpatients with melancholic MDD, thirty-three outpatients with nonmelancholic MDD, and thirty-two age- and gender-matched healthy controls were recruited. All participants were scanned by resting-state functional magnetic resonance imaging (fMRI). Imaging data were analyzed with the network homogeneity (NH) and support vector machine (SVM) methods. Results: Both patient groups exhibited increased NH in the right PCC/precuneus and right angular gyrus and decreased NH in the right middle temporal gyrus compared with healthy controls. Compared with nonmelancholic patients and healthy controls, melancholic patients exhibited significantly increased NH in the bilateral superior medial frontal gyrus and decreased NH in the left inferior temporal gyrus. But merely for melancholic patients, the NH of the right middle temporal gyrus was negatively correlated with TEPS total and contextual anticipatory scores. SVM analysis showed that a combination of NH values in the left superior medial frontal gyrus and left inferior temporal gyrus could distinguish melancholic patients from nonmelancholic patients with accuracy, sensitivity, and specificity of 79.66% (47/59), 70.97% (22/31), and 89.29%(25/28), respectively. Conclusion: Our findings showed distinctive network homogeneity alterations in melancholic MDD which may be potential imaging markers to distinguish melancholic MDD and nonmelancholic MDD.
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