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Prediction of brain age and cognitive age: Quantifying brain and cognitive maintenance in aging.
Anatürk, Melis; Kaufmann, Tobias; Cole, James H; Suri, Sana; Griffanti, Ludovica; Zsoldos, Eniko; Filippini, Nicola; Singh-Manoux, Archana; Kivimäki, Mika; Westlye, Lars T; Ebmeier, Klaus P; de Lange, Ann-Marie G.
Afiliação
  • Anatürk M; Department of Psychiatry, University of Oxford, Oxford, UK.
  • Kaufmann T; Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK.
  • Cole JH; NORMENT, Institute of Clinical Medicine, University of Oslo, & Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.
  • Suri S; Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK.
  • Griffanti L; Dementia Research Centre, Institute of Neurology, University College London, London, UK.
  • Zsoldos E; Department of Psychiatry, University of Oxford, Oxford, UK.
  • Filippini N; Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK.
  • Singh-Manoux A; Department of Psychiatry, University of Oxford, Oxford, UK.
  • Kivimäki M; Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK.
  • Westlye LT; Department of Psychiatry, University of Oxford, Oxford, UK.
  • Ebmeier KP; Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK.
  • de Lange AG; Department of Psychiatry, University of Oxford, Oxford, UK.
Hum Brain Mapp ; 42(6): 1626-1640, 2021 04 15.
Article em En | MEDLINE | ID: mdl-33314530
ABSTRACT
The concept of brain maintenance refers to the preservation of brain integrity in older age, while cognitive reserve refers to the capacity to maintain cognition in the presence of neurodegeneration or aging-related brain changes. While both mechanisms are thought to contribute to individual differences in cognitive function among older adults, there is currently no "gold standard" for measuring these constructs. Using machine-learning methods, we estimated brain and cognitive age based on deviations from normative aging patterns in the Whitehall II MRI substudy cohort (N = 537, age range = 60.34-82.76), and tested the degree of correspondence between these constructs, as well as their associations with premorbid IQ, education, and lifestyle trajectories. In line with established literature highlighting IQ as a proxy for cognitive reserve, higher premorbid IQ was linked to lower cognitive age independent of brain age. No strong evidence was found for associations between brain or cognitive age and lifestyle trajectories from midlife to late life based on latent class growth analyses. However, post hoc analyses revealed a relationship between cumulative lifestyle measures and brain age independent of cognitive age. In conclusion, we present a novel approach to characterizing brain and cognitive maintenance in aging, which may be useful for future studies seeking to identify factors that contribute to brain preservation and cognitive reserve mechanisms in older age.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Envelhecimento / Reserva Cognitiva / Inteligência Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Envelhecimento / Reserva Cognitiva / Inteligência Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2021 Tipo de documento: Article