ArticleJournal of psychiatry & neuroscience : JPN
Multimetric structural covariance in first-episode major depressive disorder: a graph theoretical analysis.
Article in Journal of psychiatry & neuroscience : JPN. 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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10 citing papers in PubMed, 16 citations in OpenAlex.
- Brain functional network correlates and predictors of the perioperative antidepressant effect of esketamine in breast cancer patients: a double-blind randomized controlled trial using resting-state fMRI and graph theory.Translational psychiatry · 2026Trial
- Cerebral blood flow alterations in non-auditory tinnitus: implications for cerebral venous congestion pathophysiology.Brain imaging and behavior · 2026Article
- Global organisation of structural covariance networks derived from parcellated cortical surface area in atypical populations.bioRxiv : the preprint server for biology · 2025Article
- Abnormal gray matter volume and structural covariance network of basal ganglia-limbic system in patients with major depression disorder.Frontiers in neurology · 2025Article
- Impaired topology and connectivity of grey matter structural networks in major depressive disorder: evidence from a multi-site neuroimaging data-set.The British journal of psychiatry : the journal of mental science · 2024Article
- Article
- Innovative Neuroimaging Biomarker Distinction of Major Depressive Disorder and Bipolar Disorder through Structural Connectome Analysis and Machine Learning Models.Diagnostics (Basel, Switzerland) · 2024Article
- Impact of Stress on Brain Morphology: Insights into Structural Biomarkers of Stress-related Disorders.Current neuropharmacology · 2024Review
- Neural activity changes in first-episode, drug-naïve patients with major depressive disorder after transcutaneous auricular vagus nerve stimulation treatment: A resting-state fMRI study.Frontiers in neuroscience · 2022Article
- Gyrification patterns in first-episode, drug-naïve major depression: Associations with plasma levels of brain-derived neurotrophic factor and psychiatric symptoms.Frontiers in psychiatry · 2022Article
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Authors and funding
9 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAbnormalities of cortical morphology have been consistently reported in major depressive disorder (MDD), with widespread focal alterations in cortical thickness, surface area and gyrification. However, it is unclear whether these distributed focal changes disrupt the system-level architecture (topology) of brain morphology in MDD. If present, such a topological disruption might explain the mechanisms that underlie altered cortical morphology in MDD.
methodsSeventy-six patients with first-episode MDD (33 male, 43 female) and 66 healthy controls (32 male, 34 female) underwent structural MRI scans. We calculated cortical indices, including cortical thickness, surface area and local gyrification index, using FreeSurfer. We constructed morphological covariance networks using the 3 cortical indices separately, and we analyzed the topological properties of these group-level morphological covariance networks using graph theoretical approaches.
resultsTopological differences between patients with first-episode MDD and healthy controls were restricted to the thickness-based network. We found a significant decrease in global efficiency but an increase in local efficiency of the left superior frontal gyrus and the right paracentral lobule in patients with first-episode MDD. When we simulated targeted lesions affecting the most highly connected nodes, the thickness-based networks in patients with first-episode MDD disintegrated more rapidly than those in healthy controls. LIMITATIONS: Our sample of patients with first-episode MDD has limited generalizability to patients with chronic and recurrent MDD.
conclusionA systems-level disruption in cortical thickness (but not surface area or gyrification) occurs in patients with first-episode MDD.
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