ArticleFrontiers in aging neuroscience2017
Weight Rich-Club Analysis in the White Matter Network of Late-Life Depression with Memory Deficits.
Article in Frontiers in aging neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.
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Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 43 citations in OpenAlex.
- Brain-cognition relationships in late-life depression: a systematic review of structural magnetic resonance imaging studies.Translational psychiatry · 2023Pooled it
- Evidence for Structural and Functional Alterations of Frontal-Executive and Corticolimbic Circuits in Late-Life Depression and Relationship to Mild Cognitive Impairment and Dementia: A Systematic Review.Frontiers in neuroscience · 2020Pooled it
- White Matter Hyperintensities and Neuropsychiatric Symptoms in Neurodegenerative Diseases.Journal of clinical neurology (Seoul, Korea) · 2026Article
- Structural Alterations and Cognitive Impairment in Late-Onset Depression: A Reverse Correlation Analysis.Alpha psychiatry · 2026Article
- Disrupted rich club organization in structural brain networks is related to childhood maltreatment in major depressive disorder.Frontiers in psychiatry · 2026Article
- Cognition, white matter hyperintensities and suicide risk in late-life depression patients: an exploratory study.BMC geriatrics · 2025Article
- Long-term risk of late-life depression in widowed elderly: a five-year follow-up study.BMC geriatrics · 2025Article
- Structural covariance network patterns linked to neuropsychiatric symptoms in biologically defined Alzheimer's disease: Insights from the mild behavioral impairment checklist.Journal of Alzheimer's disease : JAD · 2025Article
- Effects of second language acquisition on brain functional networks at different developmental stages.Brain imaging and behavior · 2024Article
- Increasing variance of rich-club nodes distribution in early onset depression according to dynamic network.Brain imaging and behavior · 2024Article
- Rich-club organization of whole-brain spatio-temporal multilayer functional connectivity networks.Frontiers in neuroscience · 2024Article
- Enhanced rich club connectivity in mild or moderate depression after nonpharmacological treatment: A preliminary study.Brain and behavior · 2023Article
- Brain-based mechanisms of late-life depression: Implications for novel interventions.Seminars in cell & developmental biology · 2021Review
- Different Modular Organization Between Early Onset and Late Onset Depression: A Study Base on Granger Causality Analysis.Frontiers in aging neuroscience · 2021Article
- White Matter Alterations Between Brain Network Hubs Underlie Processing Speed Impairment in Patients With Schizophrenia.Schizophrenia bulletin open · 2021Article
- White Matter-Based Structural Brain Network of Major Depression.Advances in experimental medicine and biology · 2021Review
- Frontal-executive and corticolimbic structural brain circuitry in older people with remitted depression, mild cognitive impairment, Alzheimer's dementia, and normal cognition.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020Article
- Impaired brain network architecture in Cushing's disease based on graph theoretical analysis.Aging · 2020Article
- Changes of Altruistic Behavior and Kynurenine Pathway in Late-Life Depression.Frontiers in psychiatry · 2020Article
- Rich-club in the brain's macrostructure: Insights from graph theoretical analysis.Computational and structural biotechnology journal · 2020Review
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Patients with late-life depression (LLD) have a higher incident of developing dementia, especially individuals with memory deficits. However, little is known about the white matter characteristics of LLD with memory deficits (LLD-MD) in the human connectome, especially for the rich-club coefficient, which is an indicator that describes the organization pattern of hub in the network. To address this question, diffusion tensor imaging of 69 participants [15 LLD-MD patients; 24 patients with LLD with intact memory (LLD-IM); and 30 healthy controls (HC)] was applied to construct a brain network for each individual. A full-scale battery of neuropsychological tests were used for grouping, and evaluating executive function, processing speed and memory. Rich-club analysis and global network properties were utilized to describe the topological features in each group. Network-based statistics (NBS) were calculated to identify the impaired subnetwork in the LLD-MD group relative to that in the LLD-IM group. We found that compared with HC participants, patients with LLD (LLD-MD and LLD-IM) had relatively impaired rich-club organizations and rich-club connectivity. In addition, LLD-MD group exhibited lower feeder and local connective average strength than LLD-IM group. Furthermore, global network properties, such as the shortest path length, connective strength, efficiency and fault tolerant efficiency, were significantly decreased in the LLD-MD group relative to those in the LLD-IM and HC groups. According to NBS analysis, a subnetwork, including right cognitive control network (CCN) and corticostriatal circuits, were disrupted in LLD-MD patients. In conclusion, the disease effects of LLD were prevalent in rich-club organization. Feeder and local connections, especially in the subnetwork including right CCN and corticostriatal circuits, were further impaired in those with memory deficits. Global network properties were disrupted in LLD-MD patients relative to those in LLD-IM patients.
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