ArticleQuantitative imaging in medicine and surgery2023
Age- and sex-related differences in cortical morphology and their relationships with cognitive performance in healthy middle-aged and older adults.
Article in Quantitative imaging in medicine and surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- Longitudinal surface-based morphometry reveals potential MRI biomarkers correlated with multidimensional brain health measures.Brain imaging and behavior · 2026Article
- Lower Gyrification of the Ventromedial Prefrontal Cortex in Posttraumatic Stress Disorder: An ENIGMA-PTSD Study.Biological psychiatry global open science · 2026Article
- Article
- Regression analysis of multiplicative hazards model with time-dependent coefficient for sparse longitudinal covariates.Journal of nonparametric statistics · 2025Article
- Cortical gyrification in women and men and the (missing) link to prenatal androgens.The European journal of neuroscience · 2024Article
- Age-specific sex effects in extinction of conditioned fear in rodents.Frontiers in behavioral neuroscience · 2023Article
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Abstract
Background: The impacts of age and sex on brain structures related to cognitive function may be important for understanding the role of aging in Alzheimer disease for both sexes. We intended to investigate the age and sex differences of cortical morphology in middle-aged and older adults and their relationships with the decline of cognitive function. Methods: In this cross-sectional study, we examined the cortical morphology in 204 healthy middle-aged and older adult participants aged 45 to 89 years using structural magnetic resonance imaging (sMRI) data from the Dallas Lifespan Brain Study data set. Brain cortical thickness, surface complexity, and gyrification index were analyzed through a completely automated surface-based morphometric analysis using the CAT12 toolbox. Furthermore, we explored the correlation between cortical morphology differences and test scores for processing speed and working memory. Results: There were no significant interactions of age and sex with cortical thickness, fractal dimension, or gyrification index. Rather, we found that both males and females showed age-related decreases in cortical thickness, fractal dimension, and gyrification index. There were significant sex differences in the fractal dimension in middle-aged participants and the gyrification index in older adult participants. In addition, there were significant positive correlations between the cortical thickness of the right superior frontal gyrus and Wechsler Adult Intelligence Scale (WAIS)-III Letter-Number Sequencing test scores in males (r=0.394; P<0.001; 95% CI for r values 0.216-0.577) and females (r=0.344; P<0.001; 95% CI for r values 0.197-0.491), respectively. Furthermore, a significant relationship between the gyrification index of the right supramarginal gyrus (SupraMG) and WAIS-III Digit Symbol test scores was observed in older adult participants (r=0.375; P<0.001; 95% CI for r values 0.203-0.522). Conclusions: The results suggest that, compared with males, females have more extensive differences in cortical morphology. The gyrification index of the right SupraMG can be used as an imaging marker of sexual cognitive differences between males and females in older adults. This study helps to further understand sex differences in the aging of the brain and cognition.
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