ArticleFrontiers in neuroscience2022
The impact of genetic risk for Alzheimer's disease on the structural brain networks of young adults.
Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- Electroacupuncture Improves the Learning and Memory by Modulating Hippocampal Glucose Metabolism through IGF1/IGF1R Signaling in Alzheimer's Disease.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Decoding brain structure-function dynamics in health and in psychosis via an autoencoder.Scientific reports · 2025Article
- White-Matter Structural Connectivity and Alzheimer's Disease: A Mendelian Randomization Study.Brain and behavior · 2025Article
- White matter microstructure in mid- to late adulthood is influenced by pathway-stratified polygenic risk for Alzheimer's disease.Frontiers in neuroscience · 2025Article
- Towards a multimodal neuroimaging-based risk score for mild cognitive impairment by combining clinical studies with a large (N>37000) population-based study.medRxiv : the preprint server for health sciences · 2024Article
- Associations of Polygenic Risk Score for Late-Onset Alzheimer's Disease With Biomarkers.Frontiers in aging neuroscience · 2022Review
- Higher spatial resolution diffusion-weighted imaging improves characterization of white matter disconnection in Alzheimer's disease.Imaging neuroscience (Cambridge, Mass.)Article
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
Introduction: We investigated the structural brain networks of 562 young adults in relation to polygenic risk for Alzheimer's disease, using magnetic resonance imaging (MRI) and genotype data from the Avon Longitudinal Study of Parents and Children. Methods: Diffusion MRI data were used to perform whole-brain tractography and generate structural brain networks for the whole-brain connectome, and for the default mode, limbic and visual subnetworks. The mean clustering coefficient, mean betweenness centrality, characteristic path length, global efficiency and mean nodal strength were calculated for these networks, for each participant. The connectivity of the rich-club, feeder and local connections was also calculated. Polygenic risk scores (PRS), estimating each participant's genetic risk, were calculated at genome-wide level and for nine specific disease pathways. Correlations were calculated between the PRS and (a) the graph theoretical metrics of the structural networks and (b) the rich-club, feeder and local connectivity of the whole-brain networks. Results: In the visual subnetwork, the mean nodal strength was negatively correlated with the genome-wide PRS ( Discussion: We identified small reductions in brain connectivity in young adults at risk of developing Alzheimer's disease in later life.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.