Brain-predicted age difference is associated with cognitive processing in later-life

  • Jo Wrigglesworth
  • , Nurathifah Yaacob
  • , Phillip Ward
  • , Robyn L. Woods
  • , John McNeil
  • , Elsdon Storey
  • , Gary Egan
  • , Anne Murray
  • , Raj C. Shah
  • , Sharna D. Jamadar
  • , Ruth Trevaks
  • , Stephanie Ward
  • , Ian H. Harding
  • , Joanne Ryan

Research output: Contribution to journalArticlepeer-review

27 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)195-203
Number of pages9
JournalNeurobiology of Aging
Volume109
DOIs
Publication statusPublished - Jan 2022
Externally publishedYes

Keywords

  • Brain aging
  • Cognitive function
  • Estimated brain age
  • Magnetic resonance imaging
  • Neuroimaging
  • Predicted age difference

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