ArticleFrontiers in neuroscience2023
Disrupted interhemispheric coordination of sensory-motor networks and insula in major depressive disorder.
Article in Frontiers in neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Aberrant brain functional connectivity in patients with dysthyroid optic neuropathy: a resting-state fMRI study.Frontiers in neuroscience · 2026Article
- Differences in cognitive deficits and brain functional impairments between patients with first-episode and recurrent depression.BMC psychiatry · 2025Article
- The relationship between regional homogeneity in resting-state functional magnetic resonance imaging and cognitive function in depressive disorders with migraine.Scientific reports · 2025Article
- Phenomena of hypo- and hyperconnectivity in basal ganglia-thalamo-cortical circuits linked to major depression: a 7T fMRI study.Molecular psychiatry · 2025Article
- Differences of regional homogeneity and cognitive function between psychotic depression and drug-naïve schizophrenia.BMC psychiatry · 2024Article
- Potential correlations between abnormal homogeneity of default mode network and personality or lipid level in major depressive disorder.Brain and behavior · 2024Article
- Deviant spontaneous neural activity as a potential early-response predictor for therapeutic interventions in patients with schizophrenia.Frontiers in neuroscience · 2023Article
- Distinct resting-state effective connectivity of large-scale networks in first-episode and recurrent major depression disorder: evidence from the REST-meta-MDD consortium.Frontiers in neuroscience · 2023Article
- Abnormal voxel-mirrored homotopic connectivity in first-episode major depressive disorder using fMRI: a machine learning approach.Frontiers in psychiatry · 2023Article
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Prior researches have identified distinct differences in neuroimaging characteristics between healthy controls (HCs) and patients with major depressive disorder (MDD). However, the correlations between homotopic connectivity and clinical characteristics in patients with MDD have yet to be fully understood. The present study aimed to investigate common and unique patterns of homotopic connectivity and their relationships with clinical characteristics in patients with MDD. Methods: We recruited 42 patients diagnosed with MDD and 42 HCs. We collected a range of clinical variables, as well as exploratory eye movement (EEM), event-related potentials (ERPs) and resting-state functional magnetic resonance imaging (rs-fMRI) data. The data were analyzed using correlation analysis, support vector machine (SVM), and voxel-mirrored homotopic connectivity (VMHC). Results: Compared with HCs, patients with MDD showed decreased VMHC in the insula, and increased VMHC in the cerebellum 8/vermis 8/vermis 9 and superior/middle occipital gyrus. SVM analysis using VMHC values in the cerebellum 8/vermis 8/vermis 9 and insula, or VMHC values in the superior/middle occipital gyrus and insula as inputs can distinguish HCs and patients with MDD with high accuracy, sensitivity, and specificity. Conclusion: The study demonstrated that decreased VMHC in the insula and increased VMHC values in the sensory-motor networks may be a distinctive neurobiological feature for patients with MDD, which could potentially serve as imaging markers to discriminate HCs and patients with MDD.
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