Institutional Repository of Key Laboratory of Behavioral Science, CAS
Large-Scale Morphological Network Efficiency of Human Brain: Cognitive Intelligence and Emotional Intelligence | |
Li, Chunlin1,2; Qiao, Kaini1,2; Mu, Yan1,2; Jiang, Lili1,2 | |
第一作者 | Li, Chunlin |
通讯作者邮箱 | jiangll@psych.ac.cn (lili jiang) |
心理所单位排序 | 1 |
摘要 | Network efficiency characterizes how information flows within a network, and it has been used to study the neural basis of cognitive intelligence in adolescence, young adults, and elderly adults, in terms of the white matter in the human brain and functional connectivity networks. However, there were few studies investigating whether the human brain at different ages exhibited different underpins of cognitive and emotional intelligence (EI) from young adults to the middle-aged group, especially in terms of the morphological similarity networks in the human brain. In this study, we used 65 datasets (aging 18-64), including sMRI and behavioral measurements, to study the associations of network efficiency with cognitive intelligence and EI in young adults and the middle-aged group. We proposed a new method of defining the human brain morphological networks using the morphological distribution similarity (including cortical volume, surface area, and thickness). Our results showed inverted age x network efficiency interactions in the relationship of surface-area network efficiency with cognitive intelligence and EI: a negative age x global efficiency (nodal efficiency) interaction in cognitive intelligence, while a positive age x global efficiency (nodal efficiency) interaction in EI. In summary, this study not only proposed a new method of morphological similarity network but also emphasized the developmental effects on the brain mechanisms of intelligence from young adult to middle-aged groups and may promote mental health study on the middle-aged group in the future. |
关键词 | MRI morphological network network efficiency intelligence aging |
2021-02-24 | |
语种 | 英语 |
DOI | 10.3389/fnagi.2021.605158 |
发表期刊 | FRONTIERS IN AGING NEUROSCIENCE |
ISSN | 1663-4365 |
卷号 | 13页码:14 |
期刊论文类型 | 实证研究 |
收录类别 | SCI |
资助项目 | National Natural Science Foundation of China[11674388] ; National Key Basic Research and Development (973) Program[2015CB351702] |
出版者 | FRONTIERS MEDIA SA |
WOS研究方向 | Geriatrics & Gerontology ; Neurosciences & Neurology |
WOS类目 | Geriatrics & Gerontology ; Neurosciences |
WOS记录号 | WOS:000626897900001 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.psych.ac.cn/handle/311026/38779 |
专题 | 中国科学院行为科学重点实验室 |
通讯作者 | Jiang, Lili |
作者单位 | 1.Inst Psychol, CAS Key Lab Behav Sci, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China |
第一作者单位 | 中国科学院行为科学重点实验室 |
通讯作者单位 | 中国科学院行为科学重点实验室 |
推荐引用方式 GB/T 7714 | Li, Chunlin,Qiao, Kaini,Mu, Yan,et al. Large-Scale Morphological Network Efficiency of Human Brain: Cognitive Intelligence and Emotional Intelligence[J]. FRONTIERS IN AGING NEUROSCIENCE,2021,13:14. |
APA | Li, Chunlin,Qiao, Kaini,Mu, Yan,&Jiang, Lili.(2021).Large-Scale Morphological Network Efficiency of Human Brain: Cognitive Intelligence and Emotional Intelligence.FRONTIERS IN AGING NEUROSCIENCE,13,14. |
MLA | Li, Chunlin,et al."Large-Scale Morphological Network Efficiency of Human Brain: Cognitive Intelligence and Emotional Intelligence".FRONTIERS IN AGING NEUROSCIENCE 13(2021):14. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Large-Scale Morpholo(4393KB) | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 请求全文 |
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