ArticleAlzheimer's & dementia (Amsterdam, Netherlands)
A practitioner's guide to geospatial analysis in a neuroimaging context.
Article in Alzheimer's & dementia (Amsterdam, Netherlands). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Current Challenges, Solutions, and Novel Directions in Research and Clinical Care: Proceedings From the 14th Annual International Workshop on HIV and Aging.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024Article
- Deriving life-course residential histories in brain bank cohorts: A feasibility study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Advanced structural brain aging in preclinical autosomal dominant Alzheimer disease.Molecular neurodegeneration · 2023Article
- A practitioner's guide to geospatial analysis in a neuroimaging context.Alzheimer's & dementia (Amsterdam, Netherlands)Article
- A fresh look at the multi-level social determinants of disparities in Alzheimer's disease and related dementias.Alzheimer's & dementia (Amsterdam, Netherlands)Article
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12 authors.
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Abstract
Introduction: Health disparities arise from biological-environmental interactions. Neuroimaging cohorts are reaching sufficiently large sample sizes such that analyses could evaluate how the environment affects the brain. We present a practical guide for applying geospatial methods to a neuroimaging cohort. Methods: We estimated brain age gap (BAG) from structural magnetic resonance imaging (MRI) from 239 city-dwelling participants in St. Louis, Missouri. We compared these participants to population-level estimates from the American Community Survey (ACS). We used geospatial analysis to identify neighborhoods associated with patterns of altered brain structure. We also evaluated the relationship between Area Deprivation Index (ADI) and BAG. Results: We identify areas in St. Louis, Missouri that were significantly associated with higher BAG from a spatially representative cohort. We provide replication code. Conclusion: We observe a relationship between neighborhoods and brain health, which suggests that neighborhood-based interventions could be appropriate. We encourage other studies to geocode participant information to evaluate biological-environmental interaction.
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