ArticleFrontiers in aging neuroscience2022
Rich-Club Organization Disturbances of the Individual Morphological Network in Subjective Cognitive Decline.
Article in Frontiers in aging neuroscience, 2022. 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.
- Individualized metabolic brain network alterations in diffuse large B-cell lymphoma: anBMC medical imaging · 2026Article
- Similar minds age alike: an MRI similarity approach for predicting age-related cognitive decline.npj aging · 2026Article
- Long-term risk of late-life depression in widowed elderly: a five-year follow-up study.BMC geriatrics · 2025Article
- Association of neighborhood disadvantage with cognitive function and cortical disorganization in an unimpaired cohort: An exploratory study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Research progress on brain network imaging biomarkers of subjective cognitive decline.Frontiers in neuroscience · 2025Review
- Does the Cognitive Change Index Predict Future Cognitive and Clinical Decline? Longitudinal Analysis in a Demographically Diverse Cohort.Journal of Alzheimer's disease : JAD · 2024Article
- Individual-level brain morphological similarity networks: Current methodologies and applications.CNS neuroscience & therapeutics · 2023Review
- Alternation of the Rich-Club Organization of Individual Brain Metabolic Networks in Parkinson's Disease.Frontiers in aging neuroscience · 2022Article
- Asymptomatic carotid stenosis is associated with both edge and network reconfigurations identified by single-subject cortical thickness networks.Frontiers in aging neuroscience · 2022Article
- Altered pattern analysis and identification of subjective cognitive decline based on morphological brain network.Frontiers in aging neuroscience · 2022Article
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5 authors.
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Abstract
Background: Subjective cognitive decline (SCD) was considered to be the preclinical stage of Alzheimer's disease (AD). However, less is known about the altered rich-club organizations of the morphological networks in individuals with SCD. Methods: This study included 53 individuals with SCD and 54 well-matched healthy controls (HC) from the Alzheimer's disease Neuroimaging Initiative (ADNI) database. Individual-level brain morphological networks were constructed by estimating the Jensen-Shannon distance-based similarity in the distribution of regional gray matter volume. Rich-club properties were then detected, followed by statistical comparison. Results: The characteristic rich-club organization of morphological networks (normalized rich-club coefficients > 1) was observed for both the SCD and HC groups under a range of thresholds. The SCD group showed a reduced normalized rich-club coefficient compared with the HC group. The SCD group exhibited the decreased strength and degree of rich-club connections than the HC group (strength: HC = 79.93, SCD = 74.37, Conclusion: Rich-club organization disturbances of morphological networks in individuals with SCD reveal a distinct pattern between the rich-club and peripheral regions. This altered rich-club organization pattern provides novel insights into the underlying mechanism of SCD and could be used to investigate prevention strategies at the preclinical stage of AD.
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