Cortical thickness across the lifespan: Data from 17,075healthy individuals aged 3–90 years
Delineating the association of age and cortical thickness in healthy individuals is criti-cal given the association of cortical thickness with cognition and behavior. Previousresearch has shown that robust estimates of the association between age and brainmorphometry require large-scale studies. In...
| Authors: | , , , , , , , |
|---|---|
| Format: | article |
| Status: | Published version |
| Publication Date: | 2021 |
| Country: | España |
| Institution: | Universidad de Sevilla (US) |
| Repository: | idUS. Depósito de Investigación de la Universidad de Sevilla |
| OAI Identifier: | oai:idus.us.es:11441/137561 |
| Online Access: | https://hdl.handle.net/11441/137561 https://doi.org/10.1002/hbm.25364 |
| Access Level: | Open access |
| Keyword: | Aging Cortical thickness Development Trajectories |
| Summary: | Delineating the association of age and cortical thickness in healthy individuals is criti-cal given the association of cortical thickness with cognition and behavior. Previousresearch has shown that robust estimates of the association between age and brainmorphometry require large-scale studies. In response, we used cross-sectional datafrom 17,075 individuals aged 3–90 years from the Enhancing Neuroimaging Geneticsthrough Meta-Analysis (ENIGMA) Consortium to infer age-related changes in corticalthickness. We used fractional polynomial (FP) regression to quantify the associationbetween age and cortical thickness, and we computed normalized growth centilesusing the parametric Lambda, Mu, and Sigma method. Interindividual variability wasestimated using meta-analysis and one-way analysis of variance. For most regions,their highest cortical thickness value was observed in childhood. Age and corticalthickness showed a negative association; the slope was steeper up to the thirddecade of life and more gradual thereafter; notable exceptions to this general patternwere entorhinal, temporopolar, and anterior cingulate cortices. Interindividual vari-ability was largest in temporal and frontal regions across the lifespan. Age and its FPcombinations explained up to 59% variance in cortical thickness. These results mayform the basis of further investigation on normative deviation in cortical thicknessand its significance for behavioral and cognitive outcomes. |
|---|