Differences between chronological and brain age are related to education and self-reported physical activity

Differences between chronological and brain age are related to education and self-reported... This study investigated the relationship between education and physical activity and the difference between a physiological prediction of age and chronological age (CA). Cortical and subcortical gray matter regional volumes were calculated from 331 healthy adults (range: 19–79 years). Multivariate analyses identified a covariance pattern of brain volumes best predicting CA (R2 = 47%). Individual expression of this brain pattern served as a physiologic measure of brain age (BA). The difference between CA and BA was predicted by education and self-report measures of physical activity. Education and the daily number of flights of stairs climbed (FOSC) were the only 2 significant predictors of decreased BA. Effect sizes demonstrated that BA decreased by 0.95 years for each year of education and by 0.58 years for 1 additional FOSC daily. Effects of education and FOSC on regional brain volume were largely driven by temporal and subcortical volumes. These results demonstrate that higher levels of education and daily FOSC are related to larger brain volume than predicted by CA which supports the utility of regional gray matter volume as a biomarker of healthy brain aging. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Neurobiology of Aging Elsevier

Differences between chronological and brain age are related to education and self-reported physical activity

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Publisher
Elsevier
Copyright
Copyright © 2016 Elsevier Inc.
ISSN
0197-4580
D.O.I.
10.1016/j.neurobiolaging.2016.01.014
Publisher site
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Abstract

This study investigated the relationship between education and physical activity and the difference between a physiological prediction of age and chronological age (CA). Cortical and subcortical gray matter regional volumes were calculated from 331 healthy adults (range: 19–79 years). Multivariate analyses identified a covariance pattern of brain volumes best predicting CA (R2 = 47%). Individual expression of this brain pattern served as a physiologic measure of brain age (BA). The difference between CA and BA was predicted by education and self-report measures of physical activity. Education and the daily number of flights of stairs climbed (FOSC) were the only 2 significant predictors of decreased BA. Effect sizes demonstrated that BA decreased by 0.95 years for each year of education and by 0.58 years for 1 additional FOSC daily. Effects of education and FOSC on regional brain volume were largely driven by temporal and subcortical volumes. These results demonstrate that higher levels of education and daily FOSC are related to larger brain volume than predicted by CA which supports the utility of regional gray matter volume as a biomarker of healthy brain aging.

Journal

Neurobiology of AgingElsevier

Published: Apr 1, 2016

References

  • A forward application of age associated gray and white matter networks
    Brickman, A.M.; Habeck, C.; Ramos, M.A.; Scarmeas, N.; Stern, Y.
  • Exercise moderates age-related atrophy of the medial temporal lobe
    Bugg, J.M.; Head, D.
  • Prediction of brain age suggests accelerated atrophy after traumatic brain injury
    Cole, J.H.; Leech, R.; Sharp, D.J.
  • A new approach to spatial covariance modeling of functional brain imaging data: ordinal trend analysis
    Habeck, C.; Krakauer, J.W.; Ghez, C.; Sackeim, H.A.; Eidelberg, D.; Stern, Y.; Moeller, J.R.
  • Prefrontal gray matter volume mediates age effects on memory strategies
    Kirchhoff, B.A.; Gordon, B.A.; Head, D.
  • Dementia rating scale
    Mattis, S.
  • The neurobiology of brain and cognitive reserve: mental and physical activity as modulators of brain disorders
    Nithianantharajah, J.; Hannan, A.J.
  • Trajectories of brain aging in middle-aged and older adults: regional and individual differences
    Raz, N.; Ghisletta, P.; Rodrigue, K.M.; Kennedy, K.M.; Lindenberger, U.
  • Neocortical cell counts in normal human adult aging
    Terry, R.D.; DeTeresa, R.; Hansen, L.A.
  • BrainPrint: a discriminative characterization of brain morphology
    Wachinger, C.; Golland, P.; Kremen, W.; Fischl, B.; Reuter, M.

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