ArticleTranslational psychiatry2021
Alterations of core structural network connectome associated with suicidal ideation in major depressive disorder patients.
Article in Translational psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.
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Who cites it
18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.
- Functional brain alterations in anxious depression: Insights from whole-brain fMRI and meta-analysis.Dialogues in clinical neuroscience · 2026Pooled it
- Machine learning and the prediction of suicide in psychiatric populations: a systematic review.Translational psychiatry · 2024Pooled it
- Incomplete network restoration may be associated with higher relapse risk in women with major depressive disorder.Psychiatry and clinical neurosciences · 2026Article
- Temporal dynamic brain-heart interaction alterations associated with suicidal ideation in major depressive disorder.BMC psychiatry · 2026Article
- Long-term risk of late-life depression in widowed elderly: a five-year follow-up study.BMC geriatrics · 2025Article
- Structural network communication differences in drug-naive depressed adolescents with non-suicidal self-injury and suicide attempts.World journal of psychiatry · 2025Article
- A network frame offers a promising transdisciplinary tool for understanding complex health and health care system problems like suicide.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Connectome architecture modulates the gray matter atrophy in major depression disorder patients with diverse suicidal ideations.Brain imaging and behavior · 2024Article
- Disrupted pattern of rich-club organization in structural brain network from prediabetes to diabetes: A population-based study.Human brain mapping · 2024Article
- Neuroimaging studies in major depressive disorder with suicidal ideation or behaviour among Chinese patients: implications for neural mechanisms and imaging signatures.General psychiatry · 2024Review
- Classification of female MDD patients with and without suicidal ideation using resting-state functional magnetic resonance imaging and machine learning.Frontiers in human neuroscience · 2024Article
- Enhanced rich club connectivity in mild or moderate depression after nonpharmacological treatment: A preliminary study.Brain and behavior · 2023Article
- Biological Factors Underpinning Suicidal Behaviour: An Update.Brain sciences · 2023Review
- Neural bases of suicidal ideation and depression in young college students.Frontiers in psychology · 2023Article
- Identification of suicidality in patients with major depressive disorder via dynamic functional network connectivity signatures and machine learning.Translational psychiatry · 2022Article
- Altered resting-state cerebral blood flow and functional connectivity mediate suicidal ideation in major depressive disorder.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022Article
- Aberrant dynamic structure-function relationship of rich-club organization in treatment-naïve newly diagnosed juvenile myoclonic epilepsy.Human brain mapping · 2022Article
- QT interval is correlated with and can predict the comorbidity of depression and anxiety: A cross-sectional study on outpatients with first-episode depression.Frontiers in cardiovascular medicine · 2022Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Suicide ideation (SI) is a most high-risk clinical sign for major depressive disorder (MDD). However, whether the rich-club network organization as a core structural network is associated with SI and how the related neural circuits are distributed in MDD patients remain unknown. Total 177 participants including 69 MDD patients with SI (MDDSI), 58 MDD without SI (MDDNSI) and 50 cognitively normal (CN) subjects were recruited and completed neuropsychological tests and diffusion-tensor imaging scan. The rich-club organization was identified and the global and regional topological properties of structural networks, together with the brain connectivity of specific neural circuit architectures, were analyzed. Further, the support vector machine (SVM) learning was applied in classifying MDDSI or MDDNSI from CN subjects. MDDSI and MDDNSI patients both exhibited disrupted rich-club organizations. However, MDDSI patients showed that the differential network was concentrated on the non-core low-level network and significantly destroyed betweeness centrality was primarily located in the regional non-hub regions relative to MDDNSI patients. The differential structural network connections involved the superior longitudinal fasciculus and the corpus callosum were incorporated in the cognitive control circuit and default mode network. Finally, the feeder serves as a potentially powerful indicator for distinguishing MDDSI patients from MDDNSI or CN subjects. The altered rich-club organization provides new clues to understand the underlying pathogenesis of MDD patients, and the feeder was useful as a diagnostic neuroimaging biomarker for differentiating MDD patients with or without SI.
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