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Brain-predicted age difference is associated with cognitive processing in later-life.
Brain-predicted age difference is associated with cognitive processing in later-life.
- Source :
-
Neurobiology of Aging . Jan2022, Vol. 109, p195-203. 9p. - Publication Year :
- 2022
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Abstract
- • Brain age was measured in 531 older community-dwelling individuals (aged ≥70 years). • Brain-predicted age difference (Brain-PAD) was defined as the difference between brain and chronological age. • Brain-PAD was associated with memory and 3-year memory change in raw analysis only. • Brain-PAD was associated with psychomotor speed even after Bonferroni correction. Brain age is a neuroimaging-based biomarker of aging. This study examined whether the difference between brain age and chronological age (brain-PAD) is associated with cognitive function at baseline and longitudinally. Participants were relatively healthy, predominantly white community-dwelling older adults (n = 531, aged ≥70 years), with high educational attainment (61% ≥12 years) and socioeconomic status (59% ≥75th percentile). Brain age was estimated from T1-weighted magnetic resonance images using an algorithm by Cole et al., 2018. After controlling for age, gender, education, depression and body mass index, brain-PAD was negatively associated with psychomotor speed (Symbol Digit Modalities Test) at baseline (Bonferroni p < 0.006), but was not associated with baseline verbal fluency (Controlled Oral Word Association Test), delayed recall (Hopkins Learning Test Revised), or general cognitive status (Mini-Mental State Examination). Baseline brain-PAD was not associated with 3-year change in cognition (Bonferroni p > 0.006). These findings indicate that even in relatively healthy older people, accelerated brain aging is associated with worse psychomotor speed, but future longitudinal research into changes in brain-PAD is needed. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 01974580
- Volume :
- 109
- Database :
- Academic Search Index
- Journal :
- Neurobiology of Aging
- Publication Type :
- Academic Journal
- Accession number :
- 154050093
- Full Text :
- https://doi.org/10.1016/j.neurobiolaging.2021.10.007