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Cortical Thickness and Brain Glucose Metabolism in Healthy Aging

Authors
 Kyoungwon Baik  ;  Seun Jeon  ;  Soh-Jeong Yang  ;  Yeona Na  ;  Seok Jong Chung  ;  Han Soo Yoo  ;  Mijin Yun  ;  Phil Hyu Lee  ;  Young H Sohn  ;  Byoung Seok Ye 
Citation
 JOURNAL OF CLINICAL NEUROLOGY, Vol.19(2) : 138-146, 2023-03 
Journal Title
JOURNAL OF CLINICAL NEUROLOGY
ISSN
 1738-6586 
Issue Date
2023-03
Keywords
FDG ; MRI ; brain glucose metabolism ; cortical thickness ; healthy aging
Abstract
Background and purpose: We aimed to determine the effect of demographic factors on cortical thickness and brain glucose metabolism in healthy aging subjects.

Methods: The following tests were performed on 71 subjects with normal cognition: neurological examination, 3-tesla magnetic resonance imaging, 18F-fluorodeoxyglucose positron-emission tomography, and neuropsychological tests. Cortical thickness and brain metabolism were measured using vertex- and voxelwise analyses, respectively. General linear models (GLMs) were used to determine the effects of age, sex, and education on cortical thickness and brain glucose metabolism. The effects of mean lobar cortical thickness and mean lobar metabolism on neuropsychological test scores were evaluated using GLMs after controlling for age, sex, and education. The intracranial volume (ICV) was further included as a predictor or covariate for the cortical thickness analyses.

Results: Age was negatively correlated with the mean cortical thickness in all lobes (frontal and parietal lobes, p=0.001; temporal and occipital lobes, p<0.001) and with the mean temporal metabolism (p=0.005). Education was not associated with cortical thickness or brain metabolism in any lobe. Male subjects had a lower mean parietal metabolism than did female subjects (p<0.001), while their mean cortical thicknesses were comparable. ICV was positively correlated with mean cortical thickness in the frontal (p=0.016), temporal (p=0.009), and occipital (p=0.007) lobes. The mean lobar cortical thickness was not associated with cognition scores, while the mean temporal metabolism was positively correlated with verbal memory test scores.

Conclusions: Age and sex affect cortical thickness and brain glucose metabolism in different ways. Demographic factors must therefore be considered in analyses of cortical thickness and brain metabolism.
Files in This Item:
T9920221030.pdf Download
DOI
10.3988/jcn.2022.0021
Appears in Collections:
1. College of Medicine (의과대학) > Research Institute (부설연구소) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Neurology (신경과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Nuclear Medicine (핵의학교실) > 1. Journal Papers
Yonsei Authors
Baik, Kyoungwon(백경원) ORCID logo https://orcid.org/0000-0001-7215-375X
Sohn, Young Ho(손영호) ORCID logo https://orcid.org/0000-0001-6533-2610
Ye, Byoung Seok(예병석) ORCID logo https://orcid.org/0000-0003-0187-8440
Yoo, Han Soo(유한수) ORCID logo https://orcid.org/0000-0001-7846-6271
Yun, Mi Jin(윤미진) ORCID logo https://orcid.org/0000-0002-1712-163X
Lee, Phil Hyu(이필휴) ORCID logo https://orcid.org/0000-0001-9931-8462
Jeon, Seun(전세운) ORCID logo https://orcid.org/0000-0003-2817-3352
Chung, Seok Jong(정석종) ORCID logo https://orcid.org/0000-0001-6086-3199
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/196657
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