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Wang J, Wang Y, Ou Q, Yang S, Jing J, Fang J. Computer gaming alters resting-state brain networks, enhancing cognitive and fluid intelligence in players: evidence from brain imaging-derived phenotypes-wide Mendelian randomization. Cereb Cortex 2024; 34:bhae061. [PMID: 38436466 DOI: 10.1093/cercor/bhae061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 01/29/2024] [Accepted: 01/31/2024] [Indexed: 03/05/2024] Open
Abstract
The debate on whether computer gaming enhances players' cognitive function is an ongoing and contentious issue. Aiming to delve into the potential impacts of computer gaming on the players' cognitive function, we embarked on a brain imaging-derived phenotypes (IDPs)-wide Mendelian randomization (MR) study, utilizing publicly available data from a European population. Our findings indicate that computer gaming has a positive impact on fluid intelligence (odds ratio [OR] = 6.264, P = 4.361 × 10-10, 95% confidence interval [CI] 3.520-11.147) and cognitive function (OR = 3.322, P = 0.002, 95% CI 1.563-7.062). Out of the 3062 brain IDPs analyzed, only one phenotype, IDP NET100 0378, was significantly influenced by computer gaming (OR = 4.697, P = 1.10 × 10-5, 95% CI 2.357-9.361). Further MR analysis suggested that alterations in the IDP NET100 0378 caused by computer gaming may be a potential factor affecting fluid intelligence (OR = 1.076, P = 0.041, 95% CI 1.003-1.153). Our MR study lends support to the notion that computer gaming can facilitate the development of players' fluid intelligence by enhancing the connectivity between the motor cortex in the resting-state brain and key regions such as the left dorsolateral prefrontal cortex and the language center.
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Affiliation(s)
- Jiadong Wang
- Department of Clinical Medicine, Hangzhou City University School of Medicine, 50 Huzhou Street, Hangzhou 310015, China
| | - Yu Wang
- Department of Clinical Medicine, The Second Clinical Medical College, Zhejiang Chinese Medical University, 548 Binwen Street, Hangzhou 310053, China
| | - Qian Ou
- Department of Basic Medical Sciences, Zhejiang University School of Medicine, 866 Yvhangtang Street, Hangzhou 310018, China
| | - Sengze Yang
- School of Economics and Management, Harbin University of Science and Technology, 4 Linyuan Street, Harbin 150080, China
| | - Jiajie Jing
- Department of Clinical Medicine, Hangzhou City University School of Medicine, 50 Huzhou Street, Hangzhou 310015, China
| | - Jiaqi Fang
- Department of Clinical Medicine, Hangzhou City University School of Medicine, 50 Huzhou Street, Hangzhou 310015, China
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Liu Y, Jia Y, Sun H, Sun L, Wang Y, Xu Q, He Y, Chang X, Guo D, Shi M, Chen GC, Zheng J, Zhu Z. Genetic analyses identify brain imaging-derived phenotypes associated with the risk of intracerebral hemorrhage. Cereb Cortex 2024; 34:bhad518. [PMID: 38185989 DOI: 10.1093/cercor/bhad518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 12/08/2023] [Accepted: 12/09/2023] [Indexed: 01/09/2024] Open
Abstract
Previous observational studies have reported associations between brain imaging-derived phenotypes (IDPs) and intracerebral hemorrhage (ICH), but the causality between them remains uncertain. We aimed to investigate the potential causal relationship between IDPs and ICH by a two-sample Mendelian randomization (MR) study. We selected genetic instruments for 363 IDPs from a genome-wide association study (GWASs) based on the UK Biobank (n = 33,224). Summary-level data on ICH was derived from a European-descent GWAS with 1,545 cases and 1,481 controls. Inverse variance weighted MR method was applied in the main analysis to investigate the associations between IDPs and ICH. Reverse MR analyses were performed for significant IDPs to examine the reverse causation for the identified associations. Among the 363 IDPs, isotropic or free water volume fraction (ISOVF) in the anterior limb of the left internal capsule was identified to be associated with the risk of ICH (OR per 1-SD increase, 4.62 [95% CI, 2.18-9.81], P = 6.63 × 10-5). In addition, the reverse MR analysis indicated that ICH had no effect on ISOVF in the anterior limb of the left internal capsule (beta, 0.010 [95% CI, -0.010-0.030], P = 0.33). MR-Egger regression analysis showed no directional pleiotropy for the association between ISOVF and ICH, and sensitivity analyses with different MR models further confirmed these findings. ISOVF in the anterior limb of the left internal capsule might be a potential causal mediator of ICH, which may provide predictive guidance for the prevention of ICH. Further studies are warranted to replicate our findings and clarify the underlying mechanisms.
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Affiliation(s)
- Yi Liu
- 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 Medical College of Soochow University, Suzhou, Jiangsu 215123, China
| | - Yiming Jia
- 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 Medical College of Soochow University, Suzhou, Jiangsu 215123, China
| | - Hongyan Sun
- Department of Medical Imaging, 11 Guangqian Road, Xiangcheng District, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Lulu Sun
- 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 Medical College of Soochow University, Suzhou, Jiangsu 215123, China
| | - Yinan Wang
- 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 Medical College of Soochow University, Suzhou, Jiangsu 215123, China
| | - Qingyun Xu
- 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 Medical College of Soochow University, Suzhou, Jiangsu 215123, China
| | - Yu He
- 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 Medical College of Soochow University, Suzhou, Jiangsu 215123, China
| | - Xinyue Chang
- 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 Medical College of Soochow University, Suzhou, Jiangsu 215123, China
| | - Daoxia Guo
- School of Nursing, 333 Ganjiang East Road, Gusu District, Suzhou Medical College of Soochow University, Suzhou, China
| | - Mengyao Shi
- 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 Medical College of Soochow University, Suzhou, Jiangsu 215123, China
| | - Guo-Chong Chen
- Department of Nutrition and Food Hygiene, School of Public Health, 199 Renai Road, Industrial Park District, Suzhou Medical College of Soochow University, Suzhou, China
| | - Jin Zheng
- Department of Neurology, Minhang Hospital, 170 Xinsong Road, Xinzhuang Town, Minhang District, Fudan University, Shanghai, China
| | - Zhengbao Zhu
- 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 Medical College of Soochow University, Suzhou, Jiangsu 215123, China
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