
TL;DR
This paper explores how network patterns in the brain change in Alzheimer's disease using data from over 3,000 individuals.
Contribution
The study reveals new insights into Alzheimer's by analyzing motif changes in brain networks across multiple datasets.
Findings
Alzheimer's disease is associated with specific alterations in brain network motifs.
Changes in network topography correlate with cognitive decline in patients.
Findings are consistent across multiple large-scale datasets.
Abstract
The cover image is based on the article Network Topography Alterations in Alzheimer's Disease: Insights From Motif Changes via Multisite Datasets (N = 3262) by Hongwei Li et al., https://doi.org/10.1111/cns.70428.
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsFace recognition and analysis · Advanced Neuroimaging Techniques and Applications · Face Recognition and Perception
