Literature DB >> 33765423

Education and age-related differences in cortical thickness and volume across the lifespan.

Jason Steffener1.   

Abstract

This study investigated whether relationships between age and measures of gray matter in the brain differed across the lifespan and by years of education. The hypothesis is that year to year differences in brain measures vary across the lifespan and are affected by the years of education someone has. Cortical thickness and subcortical volume were measured from 391 healthy adults (age range: 19-80 years). Brain measures were predicted using a quadratic age effect and moderating effects of education using linear regression. Results demonstrate that 12 brain regions had significant moderating effects of age and education on brain measures. These are brain regions where the effect of age on gray matter varied across the lifespan and across levels of education. The results highlighted that when the moderating effects of education are absent from the model, age and brain measures were linearly related. The moderating effects reveal complex age-brain dynamics and support theories of brain maintenance, suggesting that lifestyle factors limit the negative effects of advancing age. Greater education was related to maintained gray matter until later ages. This protection came at a cost, which indicated that year to year decline in gray matter was larger in late life in those with greater levels of education. Improving our understanding of how age and individual differences affect gray matter measures is an important step toward improving the clinical utility of cortical thickness and volume. This article is part of the Virtual Special Issue titled "COGNITIVE NEUROSCIENCE OF HEALTHY AND PATHOLOGICAL AGING". The full issue can be found on ScienceDirect at https://www.sciencedirect.com/journal/neurobiology-of-aging/special-issue/105379XPWJP.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aging; Brain maintenance; Cortical thickness; Education; Reserve; Subcortical volume

Mesh:

Year:  2020        PMID: 33765423      PMCID: PMC8126642          DOI: 10.1016/j.neurobiolaging.2020.10.034

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   5.133


  33 in total

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Journal:  Cereb Cortex       Date:  2006-08-31       Impact factor: 5.357

5.  Age-Related Differences in Brain Morphology and the Modifiers in Middle-Aged and Older Adults.

Authors:  Lu Zhao; William Matloff; Kaida Ning; Hosung Kim; Ivo D Dinov; Arthur W Toga
Journal:  Cereb Cortex       Date:  2019-09-13       Impact factor: 5.357

6.  Influence of young adult cognitive ability and additional education on later-life cognition.

Authors:  William S Kremen; Asad Beck; Jeremy A Elman; Daniel E Gustavson; Chandra A Reynolds; Xin M Tu; Mark E Sanderson-Cimino; Matthew S Panizzon; Eero Vuoksimaa; Rosemary Toomey; Christine Fennema-Notestine; Donald J Hagler; Bin Fang; Anders M Dale; Michael J Lyons; Carol E Franz
Journal:  Proc Natl Acad Sci U S A       Date:  2019-01-22       Impact factor: 11.205

7.  Neocortical cell counts in normal human adult aging.

Authors:  R D Terry; R DeTeresa; L A Hansen
Journal:  Ann Neurol       Date:  1987-06       Impact factor: 10.422

8.  Differences between chronological and brain age are related to education and self-reported physical activity.

Authors:  Jason Steffener; Christian Habeck; Deirdre O'Shea; Qolamreza Razlighi; Louis Bherer; Yaakov Stern
Journal:  Neurobiol Aging       Date:  2016-02-01       Impact factor: 4.673

9.  A comparison of Freesurfer and multi-atlas MUSE for brain anatomy segmentation: Findings about size and age bias, and inter-scanner stability in multi-site aging studies.

Authors:  Dhivya Srinivasan; Guray Erus; Jimit Doshi; David A Wolk; Haochang Shou; Mohamad Habes; Christos Davatzikos
Journal:  Neuroimage       Date:  2020-08-27       Impact factor: 7.400

10.  Associations between education and brain structure at age 73 years, adjusted for age 11 IQ.

Authors:  Simon R Cox; David Alexander Dickie; Stuart J Ritchie; Sherif Karama; Alison Pattie; Natalie A Royle; Janie Corley; Benjamin S Aribisala; Maria Valdés Hernández; Susana Muñoz Maniega; John M Starr; Mark E Bastin; Alan C Evans; Joanna M Wardlaw; Ian J Deary
Journal:  Neurology       Date:  2016-09-24       Impact factor: 9.910

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2.  The associations between area-level residential instability and gray matter volumes from the North American Prodrome Longitudinal Study (NAPLS) consortium.

Authors:  Benson S Ku; Jean Addington; Carrie E Bearden; Kristin S Cadenhead; Tyrone D Cannon; Michael T Compton; Barbara A Cornblatt; Benjamin G Druss; Matcheri Keshavan; Daniel H Mathalon; Diana O Perkins; William S Stone; Ming T Tsuang; Scott W Woods; Elaine F Walker
Journal:  Schizophr Res       Date:  2022-01-20       Impact factor: 4.939

3.  Regional Cortical Thickness Predicts Top Cognitive Performance in the Elderly.

Authors:  Elena Nicole Dominguez; Shauna M Stark; Yueqi Ren; Maria M Corrada; Claudia H Kawas; Craig E L Stark
Journal:  Front Aging Neurosci       Date:  2021-11-04       Impact factor: 5.750

  3 in total

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