Literature DB >> 33737067

Estimates of brain age for gray matter and white matter in younger and older adults: Insights into human intelligence.

Ehsan Shokri-Kojori1, Ilana J Bennett2, Zuri A Tomeldan3, Daniel C Krawczyk4, Bart Rypma4.   

Abstract

Aging entails a multifaceted complex of changes in macro- and micro-structural properties of human brain gray matter (GM) and white matter (WM) tissues, as well as in intellectual abilities. To better capture tissue-specific brain aging, we combined volume and distribution properties of diffusivity indices to derive subject-specific age scores for each tissue. We compared age-related variance between younger and older adults for GM and WM age scores, and tested whether tissue-specific age scores could explain different effects of aging on fluid (Gf) and crystalized (Gc) intelligence in younger and older adults. Chronological age was strongly associated with GM (R2 = 0.73) and WM (R2 = 0.57) age scores. The GM age score accounted for significantly more variance in chronological age in younger relative to older adults (p < 0.001), whereas the WM age score accounted for significantly more variance in chronological age in older compared to younger adults (p < 0.025). Consistent with existing literature, younger adults outperformed older adults in Gf while older adults outperformed younger adults in Gc. The GM age score was negatively associated with Gf in younger adults (p < 0.02), whereas the WM age score was negatively associated with Gc in older adults (p < 0.02). Our results provide evidence for differences in the effects of age on GM and WM in younger versus older adults that may contribute to age-related differences in Gf and Gc. Published by Elsevier B.V.

Entities:  

Keywords:  Brain age; Crystalized intelligence; Diffusion tensor imaging (DTI); Fluid intelligence; Gray matter; White matter

Mesh:

Year:  2021        PMID: 33737067      PMCID: PMC8428193          DOI: 10.1016/j.brainres.2021.147431

Source DB:  PubMed          Journal:  Brain Res        ISSN: 0006-8993            Impact factor:   3.610


  79 in total

1.  Selective effects of aging on brain white matter microstructure: a diffusion tensor imaging tractography study.

Authors:  Stijn Michielse; Nick Coupland; Richard Camicioli; Rawle Carter; Peter Seres; Jennifer Sabino; Nikolai Malykhin
Journal:  Neuroimage       Date:  2010-05-17       Impact factor: 6.556

2.  Aging in the CNS: comparison of gray/white matter volume and diffusion tensor data.

Authors:  Osamu Abe; Hidenori Yamasue; Shigeki Aoki; Motomu Suga; Haruyasu Yamada; Kiyoto Kasai; Yoshitaka Masutani; Nobuyuki Kato; Nobumasa Kato; Kuni Ohtomo
Journal:  Neurobiol Aging       Date:  2006-10-04       Impact factor: 4.673

3.  White matter damage on diffusion tensor imaging correlates with age-related cognitive decline.

Authors:  R A Charlton; T R Barrick; D J McIntyre; Y Shen; M O'Sullivan; F A Howe; C A Clark; R G Morris; H S Markus
Journal:  Neurology       Date:  2006-01-24       Impact factor: 9.910

4.  Life-span changes of the human brain white matter: diffusion tensor imaging (DTI) and volumetry.

Authors:  Lars T Westlye; Kristine B Walhovd; Anders M Dale; Atle Bjørnerud; Paulina Due-Tønnessen; Andreas Engvig; Håkon Grydeland; Christian K Tamnes; Ylva Ostby; Anders M Fjell
Journal:  Cereb Cortex       Date:  2009-12-23       Impact factor: 5.357

5.  Functional consequences of neurite orientation dispersion and density in humans across the adult lifespan.

Authors:  Arash Nazeri; M Mallar Chakravarty; David J Rotenberg; Tarek K Rajji; Yogesh Rathi; Oleg V Michailovich; Aristotle N Voineskos
Journal:  J Neurosci       Date:  2015-01-28       Impact factor: 6.167

6.  Gray Matter Neuritic Microstructure Deficits in Schizophrenia and Bipolar Disorder.

Authors:  Arash Nazeri; Benoit H Mulsant; Tarek K Rajji; Melissa L Levesque; Jon Pipitone; Laura Stefanik; Saba Shahab; Tina Roostaei; Anne L Wheeler; Sofia Chavez; Aristotle N Voineskos
Journal:  Biol Psychiatry       Date:  2016-12-08       Impact factor: 13.382

7.  Regional age differences in gray matter diffusivity among healthy older adults.

Authors:  Lauren E Salminen; Thomas E Conturo; David H Laidlaw; Ryan P Cabeen; Erbil Akbudak; Elizabeth M Lane; Jodi M Heaps; Jacob D Bolzenius; Laurie M Baker; Sarah Cooley; Staci Scott; Lee M Cagle; Sarah Phillips; Robert H Paul
Journal:  Brain Imaging Behav       Date:  2016-03       Impact factor: 3.978

8.  Pattern of normal age-related regional differences in white matter microstructure is modified by vascular risk.

Authors:  Kristen M Kennedy; Naftali Raz
Journal:  Brain Res       Date:  2009-08-25       Impact factor: 3.252

Review 9.  A neural-vascular complex of age-related changes in the human brain: Anatomy, physiology, and implications for neurocognitive aging.

Authors:  Dema Abdelkarim; Yuguang Zhao; Monroe P Turner; Dinesh K Sivakolundu; Hanzhang Lu; Bart Rypma
Journal:  Neurosci Biobehav Rev       Date:  2019-09-06       Impact factor: 9.052

10.  Improved prediction of brain age using multimodal neuroimaging data.

Authors:  Xin Niu; Fengqing Zhang; John Kounios; Hualou Liang
Journal:  Hum Brain Mapp       Date:  2019-12-14       Impact factor: 5.038

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  2 in total

1.  Cognitive dysfunction and cerebral volumetric deficits in individuals with Alzheimer's disease, alcohol use disorder, and dual diagnosis.

Authors:  Simon Zhornitsky; Shefali Chaudhary; Thang M Le; Yu Chen; Sheng Zhang; Stéphane Potvin; Herta H Chao; Christopher H van Dyck; Chiang-Shan R Li
Journal:  Psychiatry Res Neuroimaging       Date:  2021-08-29       Impact factor: 2.376

2.  Transcriptomic architecture of nuclei in the marmoset CNS.

Authors:  Jing-Ping Lin; Hannah M Kelly; Yeajin Song; Riki Kawaguchi; Daniel H Geschwind; Steven Jacobson; Daniel S Reich
Journal:  Nat Commun       Date:  2022-09-21       Impact factor: 17.694

  2 in total

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