Literature DB >> 23507612

The association between higher order abilities, processing speed, and age are variably mediated by white matter integrity during typical aging.

Paul R Borghesani1, Tara M Madhyastha, Elizabeth H Aylward, Maya A Reiter, Bruce R Swarny, K Warner Schaie, Sherry L Willis.   

Abstract

Although aging is associated with changes in brain structure and cognition it remains unclear which specific structural changes mediate individual cognitive changes. Several studies have reported that white matter (WM) integrity, as assessed by diffusion tensor imaging (DTI), mediates, in part, age-related differences in processing speed (PS). There is less evidence for WM integrity mediating age-related differences in higher order abilities (e.g., memory and executive functions). In 165 typically aging adults (age range 54-89) we show that WM integrity in select cerebral regions is associated with higher cognitive abilities and accounts variance not accounted for by PS or age. Specifically, voxel-wise analyses using tract-based spatial statistics (TBSS) revealed that WM integrity was associated with reasoning, cognitive flexibility and PS, but not memory or word fluency, after accounting for age and gender. While cerebral fractional anisotropy (FA) was only associated with PS; mean (MD), axial (AD) and radial (RD) diffusivity were associated with reasoning and flexibility. Reasoning was selectively associated with left prefrontal AD, while cognitive flexibility was associated with MD, AD and RD throughout the cerebrum. Average WM metrics within select WM regions of interest accounted for 18% and 29% of the variance in reasoning and flexibility, respectively, similar to the amount of variance accounted for by age. WM metrics mediated ~50% of the age-related variance in reasoning and flexibility and different proportions, 11% for reasoning and 44% for flexibility, of the variance accounted for by PS. In sum, (i) WM integrity is significantly, but variably, related to specific higher cognitive abilities and can account for a similar proportion of variance as age, and (ii) while FA is selectively associated with PS; while MD, AD and RD are associated with reasoning, flexibility and PS. This illustrates both the anatomical and cognitive selectivity of structure-cognition relationships in the aging brain.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2013        PMID: 23507612      PMCID: PMC3875161          DOI: 10.1016/j.neuropsychologia.2013.03.005

Source DB:  PubMed          Journal:  Neuropsychologia        ISSN: 0028-3932            Impact factor:   3.139


  77 in total

Review 1.  The effects of microscopic tissue parameters on the diffusion weighted magnetic resonance imaging experiment.

Authors:  D G Norris
Journal:  NMR Biomed       Date:  2001-04       Impact factor: 4.044

2.  Improved optimization for the robust and accurate linear registration and motion correction of brain images.

Authors:  Mark Jenkinson; Peter Bannister; Michael Brady; Stephen Smith
Journal:  Neuroimage       Date:  2002-10       Impact factor: 6.556

Review 3.  Structural brain changes in aging: courses, causes and cognitive consequences.

Authors:  Anders M Fjell; Kristine B Walhovd
Journal:  Rev Neurosci       Date:  2010       Impact factor: 4.353

4.  The Seattle longitudinal study: relationship between personality and cognition.

Authors:  K Warner Schaie; Sherry L Willis; Grace I L Caskie
Journal:  Neuropsychol Dev Cogn B Aging Neuropsychol Cogn       Date:  2004-06

5.  Diffusion tensor imaging and cognitive function in older adults with no dementia.

Authors:  K Kantarci; M L Senjem; R Avula; B Zhang; A R Samikoglu; S D Weigand; S A Przybelski; H A Edmonson; P Vemuri; D S Knopman; B F Boeve; R J Ivnik; G E Smith; R C Petersen; C R Jack
Journal:  Neurology       Date:  2011-05-18       Impact factor: 9.910

Review 6.  The processing-speed theory of adult age differences in cognition.

Authors:  T A Salthouse
Journal:  Psychol Rev       Date:  1996-07       Impact factor: 8.934

7.  White matter predictors of cognitive functioning in older adults.

Authors:  Irene B Meier; Jennifer J Manly; Frank A Provenzano; Karmen S Louie; Ben T Wasserman; Erica Y Griffith; Josina T Hector; Elizabeth Allocco; Adam M Brickman
Journal:  J Int Neuropsychol Soc       Date:  2012-03-06       Impact factor: 2.892

8.  Cerebral white matter integrity mediates adult age differences in cognitive performance.

Authors:  David J Madden; Julia Spaniol; Matthew C Costello; Barbara Bucur; Leonard E White; Roberto Cabeza; Simon W Davis; Nancy A Dennis; James M Provenzale; Scott A Huettel
Journal:  J Cogn Neurosci       Date:  2009-02       Impact factor: 3.225

9.  Adult age differences in multiple cognitive functions: differentiation, dedifferentiation, or process-specific change?

Authors:  Elizabeth M Zelinski; Kayan L Lewis
Journal:  Psychol Aging       Date:  2003-12

10.  Evolving Wallerian degeneration after transient retinal ischemia in mice characterized by diffusion tensor imaging.

Authors:  Shu-Wei Sun; Hsiao-Fang Liang; Anne H Cross; Sheng-Kwei Song
Journal:  Neuroimage       Date:  2007-12-08       Impact factor: 6.556

View more
  43 in total

1.  Genetic basis of neurocognitive decline and reduced white-matter integrity in normal human brain aging.

Authors:  David C Glahn; Jack W Kent; Emma Sprooten; Vincent P Diego; Anderson M Winkler; Joanne E Curran; D Reese McKay; Emma E Knowles; Melanie A Carless; Harald H H Göring; Thomas D Dyer; Rene L Olvera; Peter T Fox; Laura Almasy; Jac Charlesworth; Peter Kochunov; Ravi Duggirala; John Blangero
Journal:  Proc Natl Acad Sci U S A       Date:  2013-11-04       Impact factor: 11.205

2.  White Matter Microstructure in Bipolar Disorder Is Influenced by the Interaction between a Glutamate Transporter EAAT1 Gene Variant and Early Stress.

Authors:  Sara Poletti; Irene Bollettini; Cristina Lorenzi; Alice Vitali; Silvia Brioschi; Alessandro Serretti; Cristina Colombo; Francesco Benedetti
Journal:  Mol Neurobiol       Date:  2018-05-22       Impact factor: 5.590

3.  White matter involvement on DTI-MRI in Cushing's syndrome relates to mood disturbances and processing speed: a case-control study.

Authors:  Patricia Pires; Alicia Santos; Yolanda Vives-Gilabert; Susan M Webb; Aitor Sainz-Ruiz; Eugenia Resmini; Iris Crespo; Manel de Juan-Delago; Beatriz Gómez-Anson
Journal:  Pituitary       Date:  2017-06       Impact factor: 4.107

4.  Common and heritable components of white matter microstructure predict cognitive function at 1 and 2 y.

Authors:  Seung Jae Lee; Rachel J Steiner; Yang Yu; Sarah J Short; Michael C Neale; Martin Andreas Styner; Hongtu Zhu; John H Gilmore
Journal:  Proc Natl Acad Sci U S A       Date:  2016-12-19       Impact factor: 11.205

5.  Age-related decline in task switching is linked to both global and tract-specific changes in white matter microstructure.

Authors:  Todd A D Jolly; Patrick S Cooper; Jaime L Rennie; Christopher R Levi; Rhoshel Lenroot; Mark W Parsons; Patricia T Michie; Frini Karayanidis
Journal:  Hum Brain Mapp       Date:  2016-11-23       Impact factor: 5.038

6.  Global White Matter Diffusion Characteristics Predict Longitudinal Cognitive Change Independently of Amyloid Status in Clinically Normal Older Adults.

Authors:  Jennifer S Rabin; Rodrigo D Perea; Rachel F Buckley; Taylor E Neal; Randy L Buckner; Keith A Johnson; Reisa A Sperling; Trey Hedden
Journal:  Cereb Cortex       Date:  2019-03-01       Impact factor: 5.357

Review 7.  Disconnected aging: cerebral white matter integrity and age-related differences in cognition.

Authors:  I J Bennett; D J Madden
Journal:  Neuroscience       Date:  2013-11-23       Impact factor: 3.590

8.  Brain white matter structural properties predict transition to chronic pain.

Authors:  Ali R Mansour; Marwan N Baliki; Lejian Huang; Souraya Torbey; Kristi M Herrmann; Thomas J Schnitzer; A Vania Apkarian
Journal:  Pain       Date:  2013-10       Impact factor: 6.961

9.  Age-related differences in striatal, medial temporal, and frontal involvement during value-based decision processing.

Authors:  Yu-Shiang Su; Jheng-Ting Chen; Yong-Jheng Tang; Shu-Yun Yuan; Anna C McCarrey; Joshua Oon Soo Goh
Journal:  Neurobiol Aging       Date:  2018-05-21       Impact factor: 4.673

10.  Plasma lipids are associated with white matter microstructural changes and axonal degeneration.

Authors:  Ane Iriondo; Maite García-Sebastian; Arantzazu Arrospide; Maria Arriba; Sara Aurtenetxe; Myriam Barandiaran; Montserrat Clerigue; Mirian Ecay-Torres; Ainara Estanga; Alazne Gabilondo; Andrea Izagirre; Jon Saldias; Mikel Tainta; Jorge Villanua; Javier Mar; Felix M Goñi; Pablo Martínez-Lage
Journal:  Brain Imaging Behav       Date:  2021-04       Impact factor: 3.978

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.