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Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3–90 years
Department of Psychiatry, Icahn School of Medicine at Mount Sinai, NY, New York City, United States; Department of Psychiatry, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada.
Department of Psychiatry, Icahn School of Medicine at Mount Sinai, NY, New York City, United States.
Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Psychology and Human Development, Institute of Education, University College London, London, United Kingdom.
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2022 (English)In: Human Brain Mapping, ISSN 1065-9471, E-ISSN 1097-0193, Vol. 43, p. 431-451Article in journal (Refereed) Published
Abstract [en]

Delineating the association of age and cortical thickness in healthy individuals is critical given the association of cortical thickness with cognition and behavior. Previous research has shown that robust estimates of the association between age and brain morphometry require large-scale studies. In response, we used cross-sectional data from 17,075 individuals aged 3–90 years from the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Consortium to infer age-related changes in cortical thickness. We used fractional polynomial (FP) regression to quantify the association between age and cortical thickness, and we computed normalized growth centiles using the parametric Lambda, Mu, and Sigma method. Interindividual variability was estimated using meta-analysis and one-way analysis of variance. For most regions, their highest cortical thickness value was observed in childhood. Age and cortical thickness showed a negative association; the slope was steeper up to the third decade of life and more gradual thereafter; notable exceptions to this general pattern were entorhinal, temporopolar, and anterior cingulate cortices. Interindividual variability was largest in temporal and frontal regions across the lifespan. Age and its FP combinations explained up to 59% variance in cortical thickness. These results may form the basis of further investigation on normative deviation in cortical thickness and its significance for behavioral and cognitive outcomes.

Place, publisher, year, edition, pages
John Wiley & Sons, 2022. Vol. 43, p. 431-451
Keywords [en]
aging, cortical thickness, development, trajectories
National Category
Psychiatry
Identifiers
URN: urn:nbn:se:umu:diva-181030DOI: 10.1002/hbm.25364ISI: 000618739700001Scopus ID: 2-s2.0-85101007703OAI: oai:DiVA.org:umu-181030DiVA, id: diva2:1534246
Funder
NIH (National Institute of Health), RO1HD050735NIH (National Institute of Health), 1009064NIH (National Institute of Health), 496682NIH (National Institute of Health), RR025761NIH (National Institute of Health), R01 MH090553NIH (National Institute of Health), UL1 TR000153NIH (National Institute of Health), NIH 1U24NIH (National Institute of Health), RR025736-01NIH (National Institute of Health), NIH 1U24NIH (National Institute of Health), RR021992NIH (National Institute of Health), R01 CA101318NIH (National Institute of Health), P30 AG10133NIH (National Institute of Health), R01 AG19771NIH (National Institute of Health), R01MH117014NIH (National Institute of Health), R01MH042191NIH (National Institute of Health), R01 MH116147NIH (National Institute of Health), R01 MH113619NIH (National Institute of Health), R01 MH104284Swedish Research Council, 523-2014-3467Swedish Research Council, 2017-00949Swedish Research Council, 521-2014-3487Available from: 2021-03-05 Created: 2021-03-05 Last updated: 2023-03-24Bibliographically approved

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Andersson, MicaelNyberg, Lars

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