Literature DB >> 32081782

Cortical gyrification in relation to age and cognition in older adults.

Sander Lamballais1, Elisabeth J Vinke2, Meike W Vernooij2, M Arfan Ikram1, Ryan L Muetzel3.   

Abstract

Gyrification of the cerebral cortex changes with aging and relates to development of cognitive function during early life and midlife. Little is known about how gyrification relates to age and cognitive function later in life. We investigated this in 4397 individuals (mean age: 63.5 years, range: 45.7 to 97.9) from the Rotterdam Study, a population-based cohort. Global and local gyrification were assessed from T1-weighted images. A measure for global cognition, the g-factor, was calculated from five cognitive tests. Older age was associated with lower gyrification (mean difference per year ​= ​-0.0021; 95% confidence interval ​= ​-0.0025; -0.0017). Non-linear terms did not improve the models. Age related to lower gyrification in the parietal, frontal, temporal and occipital regions, and higher gyrification in the medial prefrontal cortex. Higher levels of the g-factor were associated with higher global gyrification (mean difference per g-factor unit ​= ​0.0044; 95% confidence interval ​= ​0.0015; 0.0073). Age and the g-factor did not interact in relation to gyrification (p ​> ​0.05). The g-factor bilaterally associated with gyrification in three distinct clusters. The first cluster encompassed the superior temporal gyrus, the insular cortex and the postcentral gyrus, the second cluster the lingual gyrus and the precuneus, and the third cluster the orbitofrontal cortex. These clusters largely remained statistically significant after correction for cortical surface area. Overall, the results support the notion that gyrification varies with aging and cognition during and after midlife, and suggest that gyrification is a potential marker for age-related brain and cognitive decline beyond midlife.
Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

Keywords:  Aging; Cognition; Gyrification; Structural MRI

Mesh:

Year:  2020        PMID: 32081782     DOI: 10.1016/j.neuroimage.2020.116637

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  16 in total

1.  Connectome-based predictive models using resting-state fMRI for studying brain aging.

Authors:  Eunji Kim; Seungho Kim; Yunheung Kim; Hyunsil Cha; Hui Joong Lee; Taekwan Lee; Yongmin Chang
Journal:  Exp Brain Res       Date:  2022-08-04       Impact factor: 2.064

2.  Novel Gyrification Networks Reveal Links with Psychiatric Risk Factors in Early Illness.

Authors:  Rachele Sanfelici; Anne Ruef; Linda A Antonucci; Nora Penzel; Aristeidis Sotiras; Mark Sen Dong; Maria Urquijo-Castro; Julian Wenzel; Lana Kambeitz-Ilankovic; Meike D Hettwer; Stephan Ruhrmann; Katharine Chisholm; Anita Riecher-Rössler; Peter Falkai; Christos Pantelis; Raimo K R Salokangas; Rebekka Lencer; Alessandro Bertolino; Joseph Kambeitz; Eva Meisenzahl; Stefan Borgwardt; Paolo Brambilla; Stephen J Wood; Rachel Upthegrove; Frauke Schultze-Lutter; Nikolaos Koutsouleris; Dominic B Dwyer
Journal:  Cereb Cortex       Date:  2022-04-05       Impact factor: 4.861

3.  A novel morphometric signature of brain alterations in type 2 diabetes: Patterns of changed cortical gyrification.

Authors:  Joana Crisóstomo; João V Duarte; Carolina Moreno; Leonor Gomes; Miguel Castelo-Branco
Journal:  Eur J Neurosci       Date:  2021-09-01       Impact factor: 3.698

4.  The Heritability of Cortical Folding: Evidence from the Human Connectome Project.

Authors:  J Eric Schmitt; Armin Raznahan; Siyuan Liu; Michael C Neale
Journal:  Cereb Cortex       Date:  2021-01-01       Impact factor: 5.357

5.  A gyrification analysis approach based on Laplace Beltrami eigenfunction level sets.

Authors:  Rosita Shishegar; Fabrizio Pizzagalli; Nellie Georgiou-Karistianis; Gary F Egan; Neda Jahanshad; Leigh A Johnston
Journal:  Neuroimage       Date:  2021-01-15       Impact factor: 7.400

6.  Brain structure prior to non-central nervous system cancer diagnosis: A population-based cohort study.

Authors:  Kimberly D van der Willik; Pinar Yilmaz; Annette Compter; Michael Hauptmann; Katarzyna Jóźwiak; Rikje Ruiter; Bruno H Ch Stricker; Meike W Vernooij; M Arfan Ikram; Michiel B de Ruiter; Sanne B Schagen
Journal:  Neuroimage Clin       Date:  2020-10-13       Impact factor: 4.881

7.  Cortical and subcortical responsiveness to intensive adaptive working memory training: An MRI surface-based analysis.

Authors:  Qiong Wu; Isabelle Ripp; Mónica Emch; Kathrin Koch
Journal:  Hum Brain Mapp       Date:  2021-03-16       Impact factor: 5.038

8.  Distinct roles of Fto and Mettl3 in controlling development of the cerebral cortex through transcriptional and translational regulations.

Authors:  Kunzhao Du; Zhen Zhang; Zhiwei Zeng; Jinling Tang; Trevor Lee; Tao Sun
Journal:  Cell Death Dis       Date:  2021-07-14       Impact factor: 8.469

9.  Symptom-Related Differential Neuroimaging Biomarkers in Children with Corpus Callosum Abnormalities.

Authors:  Yurui Guo; Alpen Ortug; Rodney Sadberry; Arthur Rezayev; Jacob Levman; Tadashi Shiohama; Emi Takahashi
Journal:  Cereb Cortex       Date:  2021-10-01       Impact factor: 4.861

10.  Age-related decrements in cortical gyrification: Evidence from an accelerated longitudinal dataset.

Authors:  Christopher R Madan
Journal:  Eur J Neurosci       Date:  2020-11-23       Impact factor: 3.386

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.