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Brain structural differences between 73- and 92-year olds matched for childhood intelligence, social background, and intracranial volume.
- Source :
-
Neurobiology of aging [Neurobiol Aging] 2018 Feb; Vol. 62, pp. 146-158. Date of Electronic Publication: 2017 Oct 16. - Publication Year :
- 2018
-
Abstract
- Fully characterizing age differences in the brain is a key task for combating aging-related cognitive decline. Using propensity score matching on 2 independent, narrow-age cohorts, we used data on childhood cognitive ability, socioeconomic background, and intracranial volume to match participants at mean age of 92 years (n = 42) to very similar participants at mean age of 73 years (n = 126). Examining a variety of global and regional structural neuroimaging variables, there were large differences in gray and white matter volumes, cortical surface area, cortical thickness, and white matter hyperintensity volume and spatial extent. In a mediation analysis, the total volume of white matter hyperintensities and total cortical surface area jointly mediated 24.9% of the relation between age and general cognitive ability (tissue volumes and cortical thickness were not significant mediators in this analysis). These findings provide an unusual and valuable perspective on neurostructural aging, in which brains from the 8th and 10th decades of life differ widely despite the same cognitive, socioeconomic, and brain-volumetric starting points.<br /> (Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.)
- Subjects :
- Aged
Aged, 80 and over
Brain diagnostic imaging
Cerebral Cortex diagnostic imaging
Cerebral Cortex pathology
Cohort Studies
Cross-Sectional Studies
Humans
Neuroimaging
Organ Size
Propensity Score
White Matter diagnostic imaging
White Matter pathology
Aging pathology
Aging psychology
Brain pathology
Cognition physiology
Cognitive Aging physiology
Cognitive Aging psychology
Intelligence physiology
Socioeconomic Factors
Subjects
Details
- Language :
- English
- ISSN :
- 1558-1497
- Volume :
- 62
- Database :
- MEDLINE
- Journal :
- Neurobiology of aging
- Publication Type :
- Academic Journal
- Accession number :
- 29149632
- Full Text :
- https://doi.org/10.1016/j.neurobiolaging.2017.10.005