Molecular PsychiatryNeurosciencePeer-reviewed journal article
Brain-age in midlife is associated with accelerated biological aging and cognitive decline in a longitudinal birth-cohort
Maxwell L. ElliottiD, Daniel W. BelskyiD, Annchen R. KnodtiD, David R. IrelandiD, Tracy R. MelzeriD, Richie PoultoniD, Sandhya RamrakhaiD, Avshalom CaspiiD, Terrie E. MoffittiD, Ahmad R. HaririiD
Abstract
An individuals brain-age is the difference between chronological age and age predicted from machine-learning models of brain-imaging data. Brain-age has been proposed as a biomarker of age-related deterioration of the brain. Having an older brain-age has been linked to Alzheimers, dementia and mortality. However, these findings are largely based on cross-sectional associations which can confuse age differences with cohort differences. To illuminate the validity of brain-age a biomarker of accelerated brain aging, a study is needed of a large cohort all born the same year who nevertheless vary on brain-age. In a population-representative 1972-73 birth cohort we measured brain-age at age 45, as well as the pace of biological aging and cognitive decline in longitudinal data from childhood to midlife (N=869). In this cohort, all chronological age 45 years, brain-age was measured reliably (ICC=.81) and ranged from 24 to 72 years. Those with older midlife brain-ages tended to have poorer cognitive function in both adulthood and childhood, as well as impaired brain health at age 3. Furthermore, those with older brain-ages had an accelerated pace of biological aging, older facial appearance and early signs of cognitive decline from childhood to midlife. These findings help to validate brain-age as a potential surrogate biomarker for midlife intervention studies that seek to measure treatment response to dementia-prevention efforts in midlife. However, the findings also caution against the assumption that brain-age scores represent only age-related deterioration of the brain as they may also index central nervous system variation present since childhood.
- organism: human
- assay: imaging
- research focus: benchmarking
- research focus: differential expression
- approach: statistical model
- Citations
- 291
- FWCI
- 19.68
- Field percentile
- top 1%
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