Dementia Risk Factors Modify Hubs but Leave Other Connectivity Measures Unchanged in Asymptomatic Individuals: A Graph Theoretical Analysis.

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  • Additional Information
    • Source:
      Publisher: Mary Ann Liebert, Inc Country of Publication: United States NLM ID: 101550313 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2158-0022 (Electronic) Linking ISSN: 21580014 NLM ISO Abbreviation: Brain Connect Subsets: MEDLINE
    • Publication Information:
      Original Publication: New Rochelle, NY : Mary Ann Liebert, Inc.
    • Subject Terms:
    • Abstract:
      Background: Alzheimer's disease (AD) is the most common form of dementia with genetic and environmental risk contributing to its development. Graph theoretical analyses of brain networks constructed from structural and functional magnetic resonance imaging (MRI) measurements have identified connectivity changes in AD and individuals with mild cognitive impairment. However, brain connectivity in asymptomatic individuals at risk of AD remains poorly understood. Methods: We analyzed diffusion-weighted MRI data from 161 asymptomatic individuals (38-71 years) from the Cardiff Ageing and Risk of Dementia Study (CARDS). We calculated white matter tracts and constructed whole-brain, default mode network (DMN) and visual structural brain networks that incorporate multiple structural metrics as edge weights. We then calculated the relationship of three AD risk factors, namely Apolipoprotein-E ɛ4 ( APOE4 ) genotype, family history of dementia (FH), and central obesity (Waist-Hip-Ratio [WHR]), on graph theoretical measures and hubs. Results: We observed no risk-related differences in clustering coefficients, characteristic path lengths, eccentricity, diameter, and radius across the whole-brain, DMN or visual system. However, a hub in the right paracentral lobule was present in all the high-risk groups (FH, APOE4 , obese), but absent in low-risk groups (no FH, APOE4 -ve, healthy WHR). Discussion: We identified no risk-related effects on graph theoretical metrics in the structural brain networks of cognitively healthy individuals. However, high risk was associated with a hub in the right paracentral lobule, a medial fronto-parietal cortical area with motor and sensory functions. This finding is consistent with accumulating evidence for right parietal cortex contributions in AD. If this phenotype is shown to predict symptom development in longitudinal studies, it could be used as an early biomarker of AD. Impact statement Alzheimer's disease (AD) is a common form of dementia that to date has no cure. Identifying early biomarkers will aid the discovery and development of treatments that may slow AD progression in the future. In this article, we report that asymptomatic individuals at heightened risk of dementia due to their family history, Apolipoprotein-E ɛ4 genotype, and central adiposity have a hub in the right paracentral lobule, which is absent in low-risk groups. If this phenotype were to predict the development of symptoms in a longitudinal study of the same cohort, it could provide an early biomarker of disease progression.
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    • Grant Information:
      208 United Kingdom ALZS_ Alzheimer's Society; 108891/B/15/Z United Kingdom WT_ Wellcome Trust; MR/K004360/1 United Kingdom MRC_ Medical Research Council; 204824/Z/16/Z United Kingdom WT_ Wellcome Trust
    • Contributed Indexing:
      Keywords: Alzheimer's disease; graph theoretical analysis; hubs; risk factors
    • Accession Number:
      0 (Apolipoprotein E4)
    • Publication Date:
      Date Created: 20210525 Date Completed: 20220503 Latest Revision: 20220503
    • Publication Date:
      20240105
    • Accession Number:
      PMC8867081
    • Accession Number:
      10.1089/brain.2020.0935
    • Accession Number:
      34030485