Biological and environmental predictors of heterogeneity in neurocognitive ageing : Evidence from Betula and other longitudinal studies
(2020) In Ageing Research Reviews 64.- Abstract
Individual differences in cognitive performance increase with advancing age, reflecting marked cognitive changes in some individuals along with little or no change in others. Genetic and lifestyle factors are assumed to influence cognitive performance in ageing by affecting the magnitude and extent of age-related brain changes (i.e., brain maintenance or atrophy), as well as the ability to recruit compensatory processes. The purpose of this review is to present findings from the Betula study and other longitudinal studies, with a focus on clarifying the role of key biological and environmental factors assumed to underlie individual differences in brain and cognitive ageing. We discuss the vital importance of sampling, analytic methods,... (More)
Individual differences in cognitive performance increase with advancing age, reflecting marked cognitive changes in some individuals along with little or no change in others. Genetic and lifestyle factors are assumed to influence cognitive performance in ageing by affecting the magnitude and extent of age-related brain changes (i.e., brain maintenance or atrophy), as well as the ability to recruit compensatory processes. The purpose of this review is to present findings from the Betula study and other longitudinal studies, with a focus on clarifying the role of key biological and environmental factors assumed to underlie individual differences in brain and cognitive ageing. We discuss the vital importance of sampling, analytic methods, consideration of non-ignorable dropout, and related issues for valid conclusions on factors that influence healthy neurocognitive ageing.
(Less)
- author
- organization
- publishing date
- 2020
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- ageing, brain, brain maintenance, cognitive reserve, genetics, lifestyle, longitudinal, memory
- in
- Ageing Research Reviews
- volume
- 64
- article number
- 101184
- publisher
- Elsevier
- external identifiers
-
- pmid:32992046
- scopus:85092710312
- ISSN
- 1568-1637
- DOI
- 10.1016/j.arr.2020.101184
- language
- English
- LU publication?
- yes
- id
- 56155b0f-8e8f-4cc6-bec2-113f82cbf709
- date added to LUP
- 2020-11-05 11:15:27
- date last changed
- 2024-05-02 18:42:10
@article{56155b0f-8e8f-4cc6-bec2-113f82cbf709, abstract = {{<p>Individual differences in cognitive performance increase with advancing age, reflecting marked cognitive changes in some individuals along with little or no change in others. Genetic and lifestyle factors are assumed to influence cognitive performance in ageing by affecting the magnitude and extent of age-related brain changes (i.e., brain maintenance or atrophy), as well as the ability to recruit compensatory processes. The purpose of this review is to present findings from the Betula study and other longitudinal studies, with a focus on clarifying the role of key biological and environmental factors assumed to underlie individual differences in brain and cognitive ageing. We discuss the vital importance of sampling, analytic methods, consideration of non-ignorable dropout, and related issues for valid conclusions on factors that influence healthy neurocognitive ageing.</p>}}, author = {{Nyberg, Lars and Boraxbekk, Carl Johan and Sörman, Daniel Eriksson and Hansson, Patrik and Herlitz, Agneta and Kauppi, Karolina and Ljungberg, Jessica K. and Lövheim, Hugo and Lundquist, Anders and Adolfsson, Annelie Nordin and Oudin, Anna and Pudas, Sara and Rönnlund, Michael and Stiernstedt, Mikael and Sundström, Anna and Adolfsson, Rolf}}, issn = {{1568-1637}}, keywords = {{ageing; brain; brain maintenance, cognitive reserve; genetics; lifestyle; longitudinal; memory}}, language = {{eng}}, publisher = {{Elsevier}}, series = {{Ageing Research Reviews}}, title = {{Biological and environmental predictors of heterogeneity in neurocognitive ageing : Evidence from Betula and other longitudinal studies}}, url = {{http://dx.doi.org/10.1016/j.arr.2020.101184}}, doi = {{10.1016/j.arr.2020.101184}}, volume = {{64}}, year = {{2020}}, }