Dataset Information

Cortical Thickness and Brain Glucose Metabolism in 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.

SUBMITTER: Baik K

PROVIDER: S-EPMC9982173 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature

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Publications

Cortical Thickness and Brain Glucose Metabolism in Healthy Aging.

Baik Kyoungwon K Jeon Seun S Yang Soh-Jeong SJ Na Yeona Y Chung Seok Jong SJ Yoo Han Soo HS Yun Mijin M Lee Phil Hyu PH Sohn Young H YH Ye Byoung Seok BS

Journal of clinical neurology (Seoul, Korea) 20230102 2

<h4>Background and purpose</h4>We aimed to determine the effect of demographic factors on cortical thickness and brain glucose metabolism in healthy aging subjects.<h4>Methods</h4>The following tests were performed on 71 subjects with normal cognition: neurological examination, 3-tesla magnetic resonance imaging, <sup>18</sup>F-fluorodeoxyglucose positron-emission tomography, and neuropsychological tests. Cortical thickness and brain metabolism were measured using vertex- and voxelwise analyses, ...[more]

PMID: 36647225

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Project description:IntroductionWe performed a whole-transcriptome correlation analysis, followed by the pathway enrichment and testing of innate immune response pathway analyses to evaluate the hypothesis that transcriptional activity can predict cortical gray matter thickness (GMT) variability during normal cerebral aging.MethodsTranscriptome and GMT data were available for 379 individuals (age range=28-85) community-dwelling members of large extended Mexican American families. Collection of transcriptome data preceded that of neuroimaging data by 17 years. Genome-wide gene transcriptome data consisted of 20,413 heritable lymphocytes-based transcripts. GMT measurements were performed from high-resolution (isotropic 800 ?m) T1-weighted MRI. Transcriptome-wide and pathway enrichment analysis was used to classify genes correlated with GMT. Transcripts for sixty genes from seven innate immune pathways were tested as specific predictors of GMT variability.ResultsTranscripts for eight genes (IGFBP3, LRRN3, CRIP2, SCD, IDS, TCF4, GATA3, and HN1) passed the transcriptome-wide significance threshold. Four orthogonal factors extracted from this set predicted 31.9% of the variability in the whole-brain and between 23.4 and 35% of regional GMT measurements. Pathway enrichment analysis identified six functional categories including cellular proliferation, aggregation, differentiation, viral infection, and metabolism. The integrin signaling pathway was significantly (p<10(-6)) enriched with GMT. Finally, three innate immune pathways (complement signaling, toll-receptors and scavenger and immunoglobulins) were significantly associated with GMT.ConclusionExpression activity for the genes that regulate cellular proliferation, adhesion, differentiation and inflammation can explain a significant proportion of individual variability in cortical GMT. Our findings suggest that normal cerebral aging is the product of a progressive decline in regenerative capacity and increased neuroinflammation.

Dataset Information

Cortical Thickness and Brain Glucose Metabolism in Healthy Aging.

Background and purpose

Methods

Results

Conclusions

Publications

Cortical Thickness and Brain Glucose Metabolism in Healthy Aging.

Similar Datasets

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