ArticleThe British journal of psychiatry : the journal of mental science2024
Impaired topology and connectivity of grey matter structural networks in major depressive disorder: evidence from a multi-site neuroimaging data-set.
Article in The British journal of psychiatry : the journal of mental science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Meta-analysis of neural correlates of working memory, reward, and emotion processing in major depressive disorder using ALE.Psychological medicine · 2026Pooled it
- Brain structural connectomic topology predicts medication response in youth with bipolar disorder: A randomized clinical trial.Journal of affective disorders · 2025Trial
- The role of the subcortical structures in subthreshold depression: evidence from static and dynamic functional connectivity.Brain structure & function · 2026Article
- Unveiling the whole-brain impact of diffuse midline glioma: cortical morphological remodeling and network alterations driven by H3 K27 mutation.Neuroradiology · 2026Article
- Impaired regional structure-function coupling as novel neurophenotype: mechanistic insights and diagnostic exploration in treatment-resistant depression.Npj mental health research · 2026Article
- An exploratory study of altered regional homogeneity in Parkinson's disease with depression.Frontiers in psychiatry · 2026Article
- Associations Between Thalamic Gray Matter Volume and Psychomotor Symptoms in Major Depressive Disorder: A Voxel-Based Morphometry Study.Neuropsychiatric disease and treatment · 2026Article
- Childhood chronic stress associated with abnormal brain white matter networks in first-episode, drug-naïve MDD adolescents: a machine learning study.Frontiers in psychiatry · 2026Article
- Frontoparietal network mediates the antidepressant effects of accelerated iTBS and cTBS: TMS-EEG study.Cell reports. Medicine · 2025Article
- Causal structural covariance network identifies progressive gray matter atrophy in adolescents with major depressive disorder.Psychological medicine · 2025Article
- Abnormal gray matter volume and structural covariance network of basal ganglia-limbic system in patients with major depression disorder.Frontiers in neurology · 2025Article
- Clinical practice guidelines on the assessment and management of cognitive impairment in major depressive disorder.Indian journal of psychiatry · 2025Article
- Extraction of robust functional connectivity patterns across psychiatric disorders using principal component analysis-based feature selection.Imaging neuroscience (Cambridge, Mass.)Article
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5 authors.
Funding
Abstract
backgroundMajor depressive disorder (MDD) has been increasingly understood as a disruption of brain connectome. Investigating grey matter structural networks with a large sample size can provide valuable insights into the structural basis of network-level neuropathological underpinnings of MDD.
aimsUsing a multisite MRI data-set including nearly 2000 individuals, this study aimed to identify robust topology and connectivity abnormalities of grey matter structural network linked to MDD and relevant clinical phenotypes.
methodA total of 955 MDD patients and 1009 healthy controls were included from 23 sites. Individualised structural covariance networks (SCN) were established based on grey matter volume maps. Following data harmonisation, network topological metrics and focal connectivity were examined for group-level comparisons, individual-level classification performance and association with clinical ratings. Various validation strategies were applied to confirm the reliability of findings.
resultsCompared with healthy controls, MDD individuals exhibited increased global efficiency, abnormal regional centralities (i.e. thalamus, precentral gyrus, middle cingulate cortex and default mode network) and altered circuit connectivity (i.e. ventral attention network and frontoparietal network). First-episode drug-naive and recurrent patients exhibited different patterns of deficits in network topology and connectivity. In addition, the individual-level classification of topological metrics outperforms that of structural connectivity. The thalamus-insula connectivity was positively associated with the severity of depressive symptoms.
conclusionsBased on this high-powered data-set, we identified reliable patterns of impaired topology and connectivity of individualised SCN in MDD and relevant subtypes, which adds to the current understanding of neuropathology of MDD and might guide future development of diagnostic and therapeutic markers.
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