Age- and sex-related differences in cortical morphology and their relationships with cognitive performance in healthy middle-aged and older adults

被引:2
|
作者
Cui, Dong [1 ,2 ,6 ]
Wang, Dianyu [3 ]
Jin, Jingna [4 ]
Liu, Xu [4 ]
Wang, Yuheng [4 ]
Cao, Weifang [1 ]
Liu, Zhipeng [4 ,7 ]
Yin, Tao [4 ,5 ,7 ]
机构
[1] Second Affiliated Hosp Shandong First Med Univ, Dept Radiol, Tai An, Peoples R China
[2] Shandong First Med Univ & Shandong Acad Med Sci, Sch Radiol, Tai An, Peoples R China
[3] Chinese Acad Med Sci & Peking Union Med Coll, Inst Radiat Med, Tianjin, Peoples R China
[4] Chinese Acad Med Sci & Peking Union Med Coll, Inst Biomed Engn, Tianjin, Peoples R China
[5] Chinese Acad Med Sci & Peking Union Med Coll, Neurosci Ctr, Beijing, Peoples R China
[6] Shandong First Med Univ, Sch Radiol, Changcheng Rd, Tai An 271016, Peoples R China
[7] Chinese Acad Med Sci, Inst Biomed Engn, Baidi Rd, Tianjin 300192, Peoples R China
基金
中国国家自然科学基金;
关键词
Aging; cortical morphology; sex difference; processing speed; working memory; structural magnetic resonance imaging (sMRI); PROCESSING-SPEED; GRAY-MATTER; SUPRAMARGINAL GYRUS; WORKING-MEMORY; SHORT-TERM; BRAIN; THICKNESS; GENDER; IMPAIRMENT; MRI;
D O I
10.21037/qims-22-583
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
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.
引用
收藏
页码:1083 / +
页数:20
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