Cognitively healthy young adults with APOEe4 gene show disrupted functional connectivity of graph properties in multiple resting-state networks
Kucikova, L.; Zeng, J.; Brass, A. J.; Munoz-Neira, C.; Ritchie, C. W.; Muniz-Terrera, G.; O'Brien, J.; Su, L.
Show abstract
The apolipoprotein (APOE) e4 allele is associated with brain changes in healthy carriers that are similar to changes observed in patients with Alzheimers Disease, including abnormalities in functional connectivity. The trajectory of these changes across the lifespan, specifically in early adulthood is still not clear. This study explores the link between the APOE genotype and functional connectivity in 129 cognitively healthy Chinese Han college students (aged 17-22 years). By using graph theory, we assessed the connectivity in seven resting-state networks of interest using three different thresholding methods and three different forms of network parcellation. Average Path Length and Closeness Centrality were disrupted in e4 carriers in the sensorimotor, visual, salience, and Default Mode salience networks; with effects replicated using different thresholding but not different parcellation methods. This study demonstrated the genetics-related vulnerability in the brain of young APOEe4 carriers across multiple resting-state networks.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- The heterogeneous functional architecture of the posteromedial cortex is associated with selective functional connectivity differences in Alzheimer’s disease 94%
- Relationship between topological efficiency of white matter structural connectome and plasma biomarkers across Alzheimer’s disease continuum 94%
- Associations of white matter hyperintensities with networks of grey matter blood flow and volume in midlife adults: a CARDIA MRI substudy 94%
Similar papers in this journal
- Differential Speed and Accuracy Trade-off in Working Memory Retrieval and Bilateral Precuneus between Older Men and Women 92%
- Clustering Electrophysiological Predisposition to Binge Drinking: An Unsupervised Machine Learning analysis 92%
- Structural disconnectome mapping of cognitive function in post-stroke patients 92%
Similar papers in this journal
- The link between static and dynamic brain functional network connectivity and genetic risk of Alzheimer's disease 96%
- Temporal stability of the ventral attention network and general cognition along the Alzheimer’s disease spectrum 94%
- Posterior white matter hyperintensities are associated with reduced medial temporal lobe subregional integrity and long-term memory in older adults 94%
Similar papers in this journal
- How to measure functional connectivity using resting-state fMRI? A comprehensive empirical exploration of different connectivity metrics 95%
- Identifying a task-invariant cognitive reserve network using task potency 95%
- Dysregulated Neurofluid Coupling as a New Noninvasive Biomarker for Primary Progressive Aphasia 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.