ArticleJournal of clinical medicine2019
Connectome Analysis of Brain Functional Network Alterations in Depressive Patients with Suicidal Attempt.
Article in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
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The trial behind it
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.
- Structural connectivity abnormalities in suicidal thoughts and behaviours: a meta-analysis.Translational psychiatry · 2025Pooled it
- Differences in white matter structural networks in family risk of major depressive disorder and suicidality: A connectome analysis.Journal of affective disorders · 2026Article
- Disruption of Multimodal Brain Networks and Structural-Functional Coupling in Adolescents with Major Depressive Disorder.Neuropsychiatric disease and treatment · 2025Article
- Classification of MDD using a Transformer classifier with large-scale multisite resting-state fMRI data.Human brain mapping · 2024Article
- Identification of structural brain alterations in adolescents with depressive symptomatology.Brain research bulletin · 2023Article
- Correlates and predictors of the severity of suicidal ideation in adolescence: an examination of brain connectomics and psychosocial characteristics.Journal of child psychology and psychiatry, and allied disciplines · 2022Article
- Are Lipids Possible Markers of Suicide Behaviors?Journal of clinical medicine · 2021Review
- Different Modular Organization Between Early Onset and Late Onset Depression: A Study Base on Granger Causality Analysis.Frontiers in aging neuroscience · 2021Article
- New Methods for Assessing Rapid Changes in Suicide Risk.Frontiers in psychiatry · 2021Review
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Our study aimed to clarify the neuroimaging correlates of suicide attempt by comparing differences in functional magnetic resonance imaging (fMRI) among depressed suicide attempters, depressed patients without suicide attempt history, and healthy controls through comprehensive and novel fMRI analyses and methods in the same study population. The association between depression severity and aspects of the brain imaging was also discussed. Our study recruited 109 participants who were assigned to three groups: 33 depressed patients with suicide attempt (SA), 32 depressed patients without suicide attempt (NS), and 44 healthy controls (HC). All participants were scanned using a 3 T MRI imaging system to obtain resting-state functional images. In seed-based correlation analysis, we found altered functional connectivity in some brain regions of the SA compared with the NS or HC, especially in the hippocampus and thalamus. In the voxel-based analysis, our results showed differential activation and regional homogeneity of the temporal lobe and several brain regions in the SA compared with the NS and HC. We also found that some brain areas correlated with the Hamilton Depression Rating Scale (HAM-D), anxiety, and depression scores, especially in the frontal and temporal lobes. Graph theoretical analysis (GTA) and network-based statistical (NBS) analyses revealed different topological organization as well as slightly better global integration and worse local segregation of the brain network (i.e., more like a random network) in depressed participants compared with healthy participants. We concluded that the brain function of major depressive disorders with and without suicide attempts changed compared with healthy participants.
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Registered trials
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