Neuroanatomical substrates of age-related cognitive decline
- PMID: 21463028
- PMCID: PMC3132227
- DOI: 10.1037/a0023262
Neuroanatomical substrates of age-related cognitive decline
Abstract
There are many reports of relations between age and cognitive variables and of relations between age and variables representing different aspects of brain structure and a few reports of relations between brain structure variables and cognitive variables. These findings have sometimes led to inferences that the age-related brain changes cause the age-related cognitive changes. Although this conclusion may well be true, it is widely recognized that simple correlations are not sufficient to warrant causal conclusions, and other types of correlational information, such as mediation and correlations between longitudinal brain changes and longitudinal cognitive changes, also have limitations with respect to causal inferences. These issues are discussed, and the existing results on relations of regional volume, white matter hyperintensities, and diffusion tensor imaging measures of white matter integrity to age and to measures of cognitive functioning are reviewed. It is concluded that at the current time the evidence that these aspects of brain structure are neuroanatomical substrates of age-related cognitive decline is weak. The final section contains several suggestions concerning measurement and methodology that may lead to stronger conclusions in the future.
(PsycINFO Database Record (c) 2011 APA, all rights reserved).
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Comment in
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Between-individual variability and interpretation of associations between neurophysiological and behavioral measures in aging populations: comment on Salthouse (2011).Psychol Bull. 2011 Sep;137(5):785-9. doi: 10.1037/a0024580. Psychol Bull. 2011. PMID: 21859178
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Only time will tell: cross-sectional studies offer no solution to the age-brain-cognition triangle: comment on Salthouse (2011).Psychol Bull. 2011 Sep;137(5):790-5. doi: 10.1037/a0024503. Psychol Bull. 2011. PMID: 21859179 Free PMC article.
References
-
- Abe O, Yamasue H, Aoki S, Suga M, Yamada H, Kasai K, Masutani Y, Kato N, Kato N, Ohtomo K. Aging in the CNS: Comparison of gray/white matter volume and diffusion tensor data. Neurobiology of Aging. 2008. pp. 102–116. http://dx.doi.org/10.1016/j.neurobiolaging.2006.09.003. - DOI - PubMed
-
- Adamson MH, Samarina V, Xiangyan X, Huynh V, Kennedy Q, Weiner M, Yesavage J, Taylor JL. The impact of brain size on pilot performance varies with aviation training and years of education. Journal of the International Neuropsychological Society. 2010. pp. 412–423. http://dx.doi.org/10.1017/S1355617710000111. - DOI - PMC - PubMed
-
- Adamson MH, Landy KM, Duong S, Fox-Bosetti S, Ashford JW, Murphy GM, Weinder M, Taylor JL. Apolioprotein E e4 influences on episodic recall and brain structures in aging pilots. Neurobiology of Aging. 2010. pp. 1059–1063. http://dx.doi.org/10.1016/j.neurobiolaging.2008.07.017. - DOI - PMC - PubMed
-
- Aggarwal NT, Wilson RS, Bienias JL, DeJager PL, Bennett DA, Evans DA, DeCarli C. The association of magnetic resonance imaging measures with cognitive function in a biracial population sample. Archives of Neurology. 2010. pp. 475–482. http://dx.doi.org/10.1001/archneurol.2010.42. - DOI - PMC - PubMed
-
- Alder AG, Adam J, Arenberg D. Individual differences assessment of the relationship between change in and initial level of adult cognitive functioning. Psychology and Aging. 1990. pp. 560–568. http://dx.doi.org/10.1037//0882-7974.5.4.560. - DOI - PubMed
