运动成瘾者的默认记忆网络和工作记忆网络

中华行为医学与脑科学杂志 Pub Date : 2019-12-20 DOI:10.3760/CMA.J.ISSN.1674-6554.2019.12.008

Q. Ding, Xiaoyan Tang, Lina Huang, Qin Li, Q. Dong, Hongqiang Zhang, Z. Qian, Xiaowei Yin, P. Liang

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Resting status brain scanning was performed with 3.0T magnetic resonance scanner.Sparse approximation coefficients independent component analysis (SACICA) model was used to analyze the independent components of brain networks. \n \n \nResults \nCompared with the DMN template, four features were extracted, including \" basic conformity\" , \" less frontal lobe\" , \" more frontal lobe\" and \" less occipitoparietal lobe\" . Compared with the parameters of \" basic conformity\" , the proportion of exercise addiction group (33.3%, 9/27) was higher than that of control group (18.2%, 4/22). In the other three parameters, the proportion of exercise addiction group (37.0%, 10/27; 3.7%, 1/27; 22.2%, 6/27) was lower than those of control group (45.5%, 10/22; 22.7%, 5/22; 27.3%, 6/22). But Chi-square test showed that there was no significant difference between the two groups(all P>0.05). 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引用次数: 0

摘要

目的探讨运动成瘾者静息状态脑功能网络中默认记忆网络（DMN）和工作记忆网络（WMN）的特点。方法采用运动成瘾指数（EAI）对29名运动成瘾者和26名非运动成瘾者进行筛选。采用3.0T磁共振扫描仪进行静息状态脑扫描。采用稀疏近似系数独立分量分析（SACICA）模型对脑网络的独立分量进行分析。结果与DMN模板相比，提取了“基本一致性”、“额叶较少”、“额较多”和“枕顶叶较少”四个特征。与“基本一致性”参数相比，运动成瘾组的比例（33.3%，9/27）高于对照组（18.2%，4/22）。在其他三个参数中，运动成瘾组的比例（37.0%，10/27；3.7%，1/27；22.2%，6/27）低于对照组（45.5%，10/22；22.7%，5/22；27.3%，6/22）。但卡方检验显示，两组之间无显著差异（均P>0.05），与WMN模板相比，提取了“基本一致性”、“额叶和顶叶较多”、“顶叶较多、额叶较多、额叶较少和顶叶较少”6个特征。运动成瘾组前三个特征的百分比（22.2%，6/27；7.4%，2/27；7.4%-2/27）低于对照组（45.5%，10/22；22.7%，5/22；9.1%，2/22），而运动成瘾组后三个特征（7.4%，/27；37.0%，10/27；14.8%，4/27）高于对照组（4.5%，1/22；13.6%，3/22；0,0）。卡方检验显示，两组运动成瘾人群的各项特征无显著性差异（P>0.05）。结论运动成瘾人群DMN和WMN网络的特征无显著变化。关键词：运动成瘾；休息状态；稀疏近似系数独立分量分析；默认内存网络；工作记忆网络

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Default memory network and working memory network in exercise addicts

Objective To explore the characteristics of the default memory network (DMN) and working memory network (WMN) at resting state brain functional network of exercise addiction people. Methods Twenty-nine sports addicts and 26 non-sports addicts matched by sex, age, average education level and sports dependence were screened by the exercise addiction index (EAI). Resting status brain scanning was performed with 3.0T magnetic resonance scanner.Sparse approximation coefficients independent component analysis (SACICA) model was used to analyze the independent components of brain networks. Results Compared with the DMN template, four features were extracted, including " basic conformity" , " less frontal lobe" , " more frontal lobe" and " less occipitoparietal lobe" . Compared with the parameters of " basic conformity" , the proportion of exercise addiction group (33.3%, 9/27) was higher than that of control group (18.2%, 4/22). In the other three parameters, the proportion of exercise addiction group (37.0%, 10/27; 3.7%, 1/27; 22.2%, 6/27) was lower than those of control group (45.5%, 10/22; 22.7%, 5/22; 27.3%, 6/22). But Chi-square test showed that there was no significant difference between the two groups(all P>0.05). Compared with the WMN template, six features were extracted, including " basic conformity" , " more frontal and parietal lobes" , " more parietal lobes" , " more frontal lobes" , " less frontal lobes" and " less parietal lobes" . The percentages of the first three features in exercise addiction group (22.2%, 6/27; 7.4%, 2/27; 7.4%, 2/27) were less than those in the control group (45.5%, 10/22; 22.7%, 5/22; 9.1%, 2/22), while the percentages of the last three features in the exercise addiction group (7.4%, 2/27; 37.0%, 10/27; 14.8%, 4/27) were higher than those in the control group (4.5%, 1/22; 13.6%, 3/22; 0, 0). Chi-square test showed that there was no significant difference in all features between the two groups was statistically(P>0.05). Conclusion No significant characteristic changes are found in DMN and WMN networks of exercise addiction population. Key words: Sports addiction; Resting state; Sparse approximation coefficients independent component analysis; Default memory network; Working memory network

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中华行为医学与脑科学杂志

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期刊介绍： "Chinese Journal of Behavioral Medicine and Brain Science" (CN 37-1468/R, ISSN 1674-6554) is a national academic journal under the supervision of the National Health Commission, sponsored by the Chinese Medical Association and Jining Medical College. The journal was founded in June 1992 and was formerly known as "Chinese Journal of Behavioral Medicine" (1992-1993) and "Chinese Behavioral Medical Science" (1994-2008). In 2009, it was renamed "Chinese Journal of Behavioral Medicine and Brain Science" with the approval of the State Administration of Press, Publication, Radio, Film and Television. The purpose of "Chinese Journal of Behavioral Medicine and Brain Science" is to implement the health and health policies of the Party and the State, implement the principle of combining theory with practice and popularization and improvement, and reflect the major progress in the theory and practical application of behavioral medicine and brain science in my country. It publishes academic papers and scientific research results in the field of behavioral medicine and brain science in my country, and has columns such as monographs/reviews, basic research, clinical research, health prevention, methods and techniques, psychological behavior and evaluation, and systematic evaluation.