TY - JOUR
T1 - Brain structural differences between 73- and 92-year olds matched for childhood intelligence, social background, and intracranial volume
AU - Ritchie, Stuart J.
AU - Dickie, David Alexander
AU - Cox, Simon R.
AU - Del C. Valdés Hernández, Maria
AU - Sibbett, Ruth
AU - Pattie, Alison
AU - Anblagan, Devasuda
AU - Redmond, Paul
AU - Royle, Natalie A.
AU - Corley, Janie
AU - Muñoz Maniega, Susana
AU - Taylor, Adele M.
AU - Karama, Sherif
AU - Booth, Tom
AU - Gow, Alan J.
AU - Starr, John M.
AU - Bastin, Mark E.
AU - Wardlaw, Joanna M.
AU - Deary, Ian J.
PY - 2018/2
Y1 - 2018/2
N2 - 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.
AB - 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.
KW - Aging
KW - Brain volume
KW - Lesion mapping
KW - Structural MRI
KW - White matter hyperintensities
UR - http://www.scopus.com/inward/record.url?scp=85034046020&partnerID=8YFLogxK
U2 - 10.1016/j.neurobiolaging.2017.10.005
DO - 10.1016/j.neurobiolaging.2017.10.005
M3 - Article
C2 - 29149632
AN - SCOPUS:85034046020
SN - 0197-4580
VL - 62
SP - 146
EP - 158
JO - Neurobiology of Aging
JF - Neurobiology of Aging
ER -