Diversity in social networks and brain aging in community-dwelling older adults in Japan: The NEIGE Study
Hiroshi Murayama, Shiho Amagasa, Masaki Machida, Shigeru Inoue, Takeo Fujiwara, Yugo Shobugawa

TL;DR
This study found that diverse social networks may help protect the hippocampus from age-related shrinkage in older adults.
Contribution
The study is the first to link social network diversity with hippocampal volume decline in older Japanese adults.
Findings
Lower social network heterogeneity was associated with greater hippocampal volume decline.
The association was strongest in the right hippocampus after adjusting for sociodemographic and health factors.
No significant associations were found for gray matter or prefrontal cortex volume changes.
Abstract
As the global population ages, understanding factors influencing brain health in older adults is crucial due to its impact on cognitive decline. Age-related changes in key regions like the hippocampus, gray matter, and prefrontal cortex are associated with cognitive decline. This study investigated the influence of social network structure on brain aging in older Japanese adults, focusing on regions linked to cognitive decline. We used longitudinal data from the Neuron to Environmental Impact across Generations Study (NEIGE Study), which is a prospective cohort study of randomly-sampled community-dwelling individuals aged 65–84 years living in Tokamachi City, Niigata Prefecture, Japan. The baseline survey was conducted in 2017 and included 527 independent older people. The follow-up survey was completed in 2021. This study analyzed 279 who had magnetic resonance imaging at both baseline…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsFunctional Brain Connectivity Studies · Mental Health Research Topics · Dementia and Cognitive Impairment Research
