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

A practitioner's guide to geospatial analysis in a neuroimaging context BACKGROUNDHealth disparities are established pathways responsible for differential onset of symptomatic Alzheimer's disease (AD).1 The National Institute on Aging Health Disparities Research Framework (NIA‐HDRF) both acknowledges the presence of health disparities across racial and ethnic bounds, and highlights biological‐environmental interactions as the source of these inequities.2 Area Deprivation Index (ADI) is one summary measure of socioeconomic disadvantage applied in this context.3 Structural and social determinants of health studies frequently identify significant effects of risk modifiers external to the participant and quantify the level of contribution of the environment to overall health, including brain health.4–7 These studies are often performed at the population level relying on centralized health care data,7 surveys, or neuropsychological exams.4–6 Although useful, these methods of data collection are often limited by recall bias and lack of direct measurement of biological phenomena.Neuroimaging data are not included a priori in epidemiological studies due to cost and participant burden; however, existing studies can address this limitation if proper methodological approaches from epidemiological studies are adapted. Many research centers have cohorts numbering in the thousands, with participants concentrated in a single geographic area, which provides a unique opportunity to investigate the interaction between environment and health without increasing participant burden. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring Wiley

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

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References (25)

Publisher
Wiley
Copyright
© 2023 the Alzheimer's Association.
eISSN
2352-8729
DOI
10.1002/dad2.12413
Publisher site
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Abstract

BACKGROUNDHealth disparities are established pathways responsible for differential onset of symptomatic Alzheimer's disease (AD).1 The National Institute on Aging Health Disparities Research Framework (NIA‐HDRF) both acknowledges the presence of health disparities across racial and ethnic bounds, and highlights biological‐environmental interactions as the source of these inequities.2 Area Deprivation Index (ADI) is one summary measure of socioeconomic disadvantage applied in this context.3 Structural and social determinants of health studies frequently identify significant effects of risk modifiers external to the participant and quantify the level of contribution of the environment to overall health, including brain health.4–7 These studies are often performed at the population level relying on centralized health care data,7 surveys, or neuropsychological exams.4–6 Although useful, these methods of data collection are often limited by recall bias and lack of direct measurement of biological phenomena.Neuroimaging data are not included a priori in epidemiological studies due to cost and participant burden; however, existing studies can address this limitation if proper methodological approaches from epidemiological studies are adapted. Many research centers have cohorts numbering in the thousands, with participants concentrated in a single geographic area, which provides a unique opportunity to investigate the interaction between environment and health without increasing participant burden.

Journal

Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring – Wiley

Published: Jan 1, 2023

Keywords: brain imaging; epidemiologic methods; magnetic resonance imaging

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