The relationship between neighborhood disadvantage and the brain age gap.

Yolana C Martin, Nagesh Adluru, Veena A. Nair, Vivek Prabhakaran, Andrew L Alexander, Sterling C. Johnson, Sanjay Asthana, W. Ryan Powell, Amy J.H. Kind, Barbara B. Bendlin

University of Wisconsin‐Madison, Madison, WI, USA · pubmed

Paper

Abstract

Accelerated aging is strongly linked to adverse social exposome and accelerated aging of the brain may be a dementia risk factor. Machine‐learning can estimate the biological “brain age” from neuroimages, which provides complementary information to the chronological/calendar age. The difference between biological and chronological age is referred to as the “brain age gap.” The Area Deprivation Index is a metric representing 17 indicators of neighborhood level poverty, education, employment, and physical environment, and provides a robust measure of the social exposome. The purpose of this work was to test the relationship between neighborhood‐level disadvantage and accelerated brain aging using brain age gap estimates in a Wisconsin cohort.

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Research summary

The paper explores the relationship between neighborhood disadvantage and accelerated brain aging, which is relevant to understanding factors that may contribute to aging and age-related diseases. However, it primarily focuses on correlational findings rather than addressing root causes of aging or proposing interventions to mitigate aging processes. Thus, while it contributes to the field, its impact is limited.

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