A practitioner's guide to geospatial analysis in a neuroimaging context.

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

SUBMITTER: Wisch JK 

PROVIDER: S-EPMC10019584 | biostudies-literature | 2023 Jan-Mar

REPOSITORIES: biostudies-literature