Brain Age Gap has a Small Association with Cognition in Cognitively Normal Older Adults

Abstract Background Brain Age Gap (BAG) describes the difference between predicted brain age and chronological age, where a higher BAG suggests accelerated brain aging. It is estimated using machine learning techniques. The Preclinical Alzheimer Cognitive Composite (PACC) is a combination of neuropsychological tests employed in Alzheimer Disease (AD) research. It is sensitive to subtle change in cognition across the preclinical period of AD. BAG associates with change in Clinical Dementia Rating (CDR), but its relevance to subtle cognitive decline as compared to a biomarker of preclinical AD (amyloid PET) is unknown. Method Longitudinal data were collected from the Knight AD Research Center (ADRC; N = 652, mean duration of cognitive follow‐up = 9.3 years) and cross‐sectional data from the Health & Aging Brain Study‐Health Disparities (HABS‐HD; N = 1421). All participants were CDR=0. We estimated BAG using DeepBrainNet, adjusting for age and scanner. Amyloid PET was collected using [18F]florbetaben in HABS‐HD and both [18F]florbetaben and [11C]PiB (converted to Centiloids) in the Knight ADRC. We calculated PACC using previously published methods, relying on different tests in each cohort. We evaluated cross‐sectional relationships between PACC and both BAG and amyloid PET in both cohorts, and longitudinal relationships in the Knight ADRC cohort. Analyses were adjusted for age, education, and gender. Result There was no cross‐sectional association between PACC and either BAG or amyloid status. Longitudinally, there were baseline differences by both BAG (β scaled = ‐0.06, p = 0.01) and amyloid status (β scaled = ‐0.15, p = 0.02) and significant interactions between BAG and time since baseline visit (β scaled = ‐0.02, p = 0.04) as well as amyloid positivity and time since baseline visit (β scaled = ‐0.12, p < 0.001) in the Knight ADRC. The baseline difference in PACC for amyloid positive participants equates to the same effect as roughly +15 year in BAG. Conclusion In a cohort with extensive longitudinal follow‐up, we observed a decline in cognitive performance over time associated with both BAG and amyloid positivity. Amyloid positivity may have a stronger effect on cognitive performance because it represents a disease trajectory, while BAG may more closely approximate typical aging.

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Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.091574
Primary Topic
Aging and Gerontology Research
Type
article
Field-Weighted Citation Impact
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article

Brain Age Gap has a Small Association with Cognition in Cognitively Normal Older Adults

Tammie L.S. Benzinger, Meredith N. Braskie, Nicole S. McKay, Arthur W. Toga et al.
Alzheimer s & Dementia
Aging and Gerontology Research
article

Brain Age Gap has a Small Association with Cognition in Cognitively Normal Older Adults

Tammie L.S. Benzinger, Meredith N. Braskie, Nicole S. McKay, Arthur W. Toga, Charlotte Best, Peter R Millar, Julie K. Wisch, Sid E. O’Bryant, Kalen J. Petersen, Beau M. Ances, Suzanne E. Schindler, Andrew J. Aschenbrenner, David A. Balota, Brian A. Gordon
article en

Abstract

Abstract Background Brain Age Gap (BAG) describes the difference between predicted brain age and chronological age, where a higher BAG suggests accelerated brain aging. It is estimated using machine learning techniques. The Preclinical Alzheimer Cognitive Composite (PACC) is a combination of neuropsychological tests employed in Alzheimer Disease (AD) research. It is sensitive to subtle change in cognition across the preclinical period of AD. BAG associates with change in Clinical Dementia Rating (CDR), but its relevance to subtle cognitive decline as compared to a biomarker of preclinical AD (amyloid PET) is unknown. Method Longitudinal data were collected from the Knight AD Research Center (ADRC; N = 652, mean duration of cognitive follow‐up = 9.3 years) and cross‐sectional data from the Health & Aging Brain Study‐Health Disparities (HABS‐HD; N = 1421). All participants were CDR=0. We estimated BAG using DeepBrainNet, adjusting for age and scanner. Amyloid PET was collected using [18F]florbetaben in HABS‐HD and both [18F]florbetaben and [11C]PiB (converted to Centiloids) in the Knight ADRC. We calculated PACC using previously published methods, relying on different tests in each cohort. We evaluated cross‐sectional relationships between PACC and both BAG and amyloid PET in both cohorts, and longitudinal relationships in the Knight ADRC cohort. Analyses were adjusted for age, education, and gender. Result There was no cross‐sectional association between PACC and either BAG or amyloid status. Longitudinally, there were baseline differences by both BAG (β scaled = ‐0.06, p = 0.01) and amyloid status (β scaled = ‐0.15, p = 0.02) and significant interactions between BAG and time since baseline visit (β scaled = ‐0.02, p = 0.04) as well as amyloid positivity and time since baseline visit (β scaled = ‐0.12, p < 0.001) in the Knight ADRC. The baseline difference in PACC for amyloid positive participants equates to the same effect as roughly +15 year in BAG. Conclusion In a cohort with extensive longitudinal follow‐up, we observed a decline in cognitive performance over time associated with both BAG and amyloid positivity. Amyloid positivity may have a stronger effect on cognitive performance because it represents a disease trajectory, while BAG may more closely approximate typical aging.

Alzheimer s & DementiaVol. 20(S2)
University of Southern California (US), University of North Texas (US), University of North Texas Health Science Center (US), Washington University in St. Louis (US), Michigan State University (US)
Quality Education
Openalex Percentile: Top 68%
Aging and Gerontology Research
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