Associations between brain imaging–derived phenotypes and cognitive functions

Author:

Liu Yi12ORCID,Shen Ouxi3,Zhu Huating3,He Yu12,Chang Xinyue12,Sun Lulu12,Jia Yiming12,Sun Hongyan4,Wang Yinan12,Xu Qingyun12,Guo Daoxia5,Shi Mengyao12,Zheng Jin6,Zhu Zhengbao12

Affiliation:

1. Department of Epidemiology , School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, 199 Renai Road, Industrial Park District, , Suzhou, Jiangsu Province 215123 , China

2. Suzhou Medical College of Soochow University , School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, 199 Renai Road, Industrial Park District, , Suzhou, Jiangsu Province 215123 , China

3. Suzhou Industrial Park Center for Disease Control and Prevention , 200 Suhong West Road, Industrial Park District, Suzhou, Jiangsu Province 215123 , China

4. Department of Medical Imaging, The Affiliated Guangji Hospital of Soochow University , 11 Guangqian Road, Xiangcheng District, Suzhou, Jiangsu Province 215123 , China

5. School of Nursing, Suzhou Medical College of Soochow University , 199 Renai Road, Industrial Park District, Jiangsu Province 215123, Suzhou , China

6. Department of Neurology, Minhang Hospital, Fudan University , 170 Xinsong Road, Xinzhuang Town, Shanghai 200000 , China

Abstract

Abstract We aimed to evaluate the potential causal relationship between brain imaging–derived phenotypes and cognitive functions via Mendelian randomization analyses. Genetic instruments for 470 brain imaging–derived phenotypes were selected from a genome-wide association study based on the UK Biobank (n = 33,224). Statistics for cognitive functions were obtained from the genome-wide association study based on the UK Biobank. We used the inverse variance weighted Mendelian randomization method to investigate the associations between brain imaging–derived phenotypes and cognitive functions, and reverse Mendelian randomization analyses were performed for significant brain imaging–derived phenotypes to examine the reverse causation for the identified associations. We identified three brain imaging–derived phenotypes to be associated with verbal–numerical reasoning, including cortical surface area of the left fusiform gyrus (beta, 0.18 [95% confidence interval, 0.11 to 0.25], P = 4.74 × 10−7), cortical surface area of the right superior temporal gyrus (beta, 0.25 [95% confidence interval, 0.15 to 0.35], P = 6.30 × 10−7), and orientation dispersion in the left superior longitudinal fasciculus (beta, 0.14 [95% confidence interval, 0.09 to 0.20], P = 8.37 × 10−7). The reverse Mendelian randomization analysis indicated that verbal–numerical reasoning had no effect on these three brain imaging–derived phenotypes. This Mendelian randomization study identified cortical surface area of the left fusiform gyrus, cortical surface area of the right superior temporal gyrus, and orientation dispersion in the left superior longitudinal fasciculus as predictors of verbal–numerical reasoning.

Funder

National Natural Science Foundation of China

Suzhou Science and Technology Project

Gusu Health Talents Program in Suzhou

Publisher

Oxford University Press (OUP)

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