Literature DB >> 33765434

Specific and general relationships between cortical thickness and cognition in older adults: a longitudinal study.

Mingzhu Hou1, Marianne de Chastelaine2, Brian E Donley2, Michael D Rugg3.   

Abstract

Prior studies suggest that relationships between regional cortical thickness and domain-specific cognitive performance can be mediated by the relationship between global cortical thickness and domain-general cognition. Whether such findings extend to longitudinal cognitive change remains unclear. Here, we examined the relationships in healthy older adults between cognitive performance, longitudinal cognitive change over 3 years, and cortical thickness at baseline of the left and right inferior frontal gyrus (IFG) and left and right hemispheres. Both right IFG and right hemisphere thickness predicted baseline general cognition and domain-specific cognitive performance. Right IFG thickness was also predictive of longitudinal memory change. However, right IFG thickness was uncorrelated with cognitive performance and memory change after controlling for the mean thickness of other ipsilateral cortical regions. In addition, most identified associations between cortical thickness and specific cognitive domains were nonsignificant after controlling for the variance shared with other cognitive domains. Thus, relationships between right IFG thickness, cognitive performance, and memory change appear to be largely accounted for by more generic relationships between cortical thickness and cognition. 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 athttps://www.sciencedirect.com/journal/neurobiology-of-aging/special-issue/105379XPWJP.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aging; Cognitive performance; Inferior frontal gyrus; Memory change

Mesh:

Year:  2020        PMID: 33765434      PMCID: PMC8110604          DOI: 10.1016/j.neurobiolaging.2020.11.004

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


  57 in total

1.  Normal age-related brain morphometric changes: nonuniformity across cortical thickness, surface area and gray matter volume?

Authors:  Herve Lemaitre; Aaron L Goldman; Fabio Sambataro; Beth A Verchinski; Andreas Meyer-Lindenberg; Daniel R Weinberger; Venkata S Mattay
Journal:  Neurobiol Aging       Date:  2010-08-23       Impact factor: 4.673

2.  Longitudinal changes in cortical thickness associated with normal aging.

Authors:  Madhav Thambisetty; Jing Wan; Aaron Carass; Yang An; Jerry L Prince; Susan M Resnick
Journal:  Neuroimage       Date:  2010-05-02       Impact factor: 6.556

3.  Greater cortical thinning in normal older adults predicts later cognitive impairment.

Authors:  Jennifer Pacheco; Joshua O Goh; Michael A Kraut; Luigi Ferrucci; Susan M Resnick
Journal:  Neurobiol Aging       Date:  2014-09-06       Impact factor: 4.673

Review 4.  Brain structure and cognitive ability in healthy aging: a review on longitudinal correlated change.

Authors:  Jessica Oschwald; Sabrina Guye; Franziskus Liem; Philippe Rast; Sherry Willis; Christina Röcke; Lutz Jäncke; Mike Martin; Susan Mérillat
Journal:  Rev Neurosci       Date:  2019-12-18       Impact factor: 4.353

5.  APOEε4 Genotype and Hypertension Modify 8-year Cortical Thinning: Five Occasion Evidence from the Seattle Longitudinal Study.

Authors:  Philippe Rast; Kristen M Kennedy; Karen M Rodrigue; Paul R A W Robinson; Alden L Gross; Donald G McLaren; Tom Grabowski; K Warner Schaie; Sherry L Willis
Journal:  Cereb Cortex       Date:  2018-06-01       Impact factor: 5.357

6.  Recollection-related hippocampal fMRI effects predict longitudinal memory change in healthy older adults.

Authors:  Mingzhu Hou; Marianne de Chastelaine; Manasi Jayakumar; Brian E Donley; Michael D Rugg
Journal:  Neuropsychologia       Date:  2020-06-19       Impact factor: 3.139

7.  Brain cortical thickness in the general elderly population: the Rotterdam Scan Study.

Authors:  Evert F S van Velsen; Meike W Vernooij; Henri A Vrooman; Aad van der Lugt; Monique M B Breteler; Albert Hofman; Wiro J Niessen; M Arfan Ikram
Journal:  Neurosci Lett       Date:  2013-07-03       Impact factor: 3.046

8.  Trajectories of imaging markers in brain aging: the Rotterdam Study.

Authors:  Elisabeth J Vinke; Marius de Groot; Vikram Venkatraghavan; Stefan Klein; Wiro J Niessen; M Arfan Ikram; Meike W Vernooij
Journal:  Neurobiol Aging       Date:  2018-07-17       Impact factor: 4.673

9.  Joint associations of β-amyloidosis and cortical thickness with cognition.

Authors:  David S Knopman; Emily S Lundt; Terry M Therneau; Prashanthi Vemuri; Val J Lowe; Kejal Kantarci; Jeffrey L Gunter; Matthew L Senjem; Michelle M Mielke; Mary M Machulda; Rosebud O Roberts; Bradley F Boeve; David T Jones; Ronald C Petersen; Clifford R Jack
Journal:  Neurobiol Aging       Date:  2018-02-02       Impact factor: 4.673

10.  Motion-related artifacts in structural brain images revealed with independent estimates of in-scanner head motion.

Authors:  Neil K Savalia; Phillip F Agres; Micaela Y Chan; Eric J Feczko; Kristen M Kennedy; Gagan S Wig
Journal:  Hum Brain Mapp       Date:  2016-09-16       Impact factor: 5.038

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