Connectome-based individualized prediction of temperament trait scores | |
Jiang, Rongtao1,2,3; Calhoun, Vince D.4,5,6,7; Zuo, Nianming1,2; Lin, Dongdong4,5; Li, Jin1,2; Fan, Lingzhong1,2; Qi, Shile1,2,3,4,5; Sun, Hailun1,2,3; Fu, Zening4,5; Song, Ming1,2; Jiang, Tianzi1,2,3,8,9; Sui, Jing1,2,3,9 | |
发表期刊 | NEUROIMAGE |
ISSN | 1053-8119 |
2018-12-01 | |
卷号 | 183期号:NA页码:366-374 |
摘要 | Temperament consists of multi-dimensional traits that affect various domains of human life. Evidence has shown functional connectome-based predictive models are powerful predictors of cognitive abilities. Putatively, individuals' innate temperament traits may be predictable by unique patterns of brain functional connectivity (FC) as well. However, quantitative prediction for multiple temperament traits at the individual level has not yet been studied. Therefore, we were motivated to realize the individualized prediction of four temperament traits (novelty seeking [NS], harm avoidance [HA], reward dependence [RD] and persistence [PS]) using whole-brain FC. Specifically, a multivariate prediction framework integrating feature selection and sparse regression was applied to resting-state fMRI data from 360 college students, resulting in 4 connectome-based predictive models that enabled prediction of temperament scores for unseen subjects in cross-validation. More importantly, predictive models for HA and NS could be successfully generalized to two relevant personality traits for unseen individuals, i.e., neuroticism and extraversion, in an independent dataset. In four temperament trait predictions, brain connectivities that show top contributing power commonly concentrated on the hippocampus, prefrontal cortex, basal ganglia, amygdala, and cingulate gyrus. Finally, across independent datasets and multiple traits, we show person's temperament traits can be reliably predicted using functional connectivity strength within frontal-subcortical circuits, indicating that human social and behavioral performance can be characterized by specific brain connectivity profile. |
关键词 | Individualized prediction Temperament traits Functional connectivity Reward processing Temperament and character inventory (TCI) |
DOI | 10.1016/j.neuroimage.2018.08.038 |
关键词[WOS] | CHARACTER INVENTORY TCI ; BRAIN FUNCTIONAL CONNECTIVITY ; AVOIDANCE PERSONALITY-TRAITS ; NOVELTY SEEKING ; HARM AVOIDANCE ; CLONINGERS TEMPERAMENT ; PSYCHOBIOLOGICAL MODEL ; DECISION-MAKING ; REWARD-SEEKING ; AMYGDALA |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Science Foundation[1539067] ; NIH[1R01MH094524] ; NIH[R01EB005846] ; NIH[P20GM103472] ; NIH[1R56MH117107] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDBS01040100] ; China Natural Science Foundation[61773380] ; China Natural Science Foundation[81471367] ; China Natural Science Foundation[81471367] ; China Natural Science Foundation[61773380] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDBS01040100] ; NIH[1R56MH117107] ; NIH[P20GM103472] ; NIH[R01EB005846] ; NIH[1R01MH094524] ; National Science Foundation[1539067] |
WOS研究方向 | Neurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging |
WOS类目 | Neurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging |
WOS记录号 | WOS:000447750200032 |
出版者 | ACADEMIC PRESS INC ELSEVIER SCIENCE |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/22786 |
专题 | 脑图谱与类脑智能实验室_脑网络组研究 |
通讯作者 | Jiang, Tianzi; Sui, Jing |
作者单位 | 1.Chinese Acad Sci, Inst Automat, Brainnetome Ctr, 95 Zhongguancun East Rd, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, 95 Zhongguancun East Rd, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Mind Res Network, Albuquerque, NM 87106 USA 5.Lovelace Biomed & Environm Res Inst, Albuquerque, NM 87106 USA 6.Univ New Mexico, Dept Psychiat & Neurosci, Albuquerque, NM 87131 USA 7.Univ New Mexico, Dept Elect & Comp Engn, Albuquerque, NM 87131 USA 8.Univ Elect Sci & Technol China, Chengdu 610054, Sichuan, Peoples R China 9.Chinese Acad Sci, Ctr Excellence Brain Sci, Inst Automat, Beijing, Peoples R China |
第一作者单位 | 中国科学院自动化研究所; 模式识别国家重点实验室 |
通讯作者单位 | 中国科学院自动化研究所; 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Jiang, Rongtao,Calhoun, Vince D.,Zuo, Nianming,et al. Connectome-based individualized prediction of temperament trait scores[J]. NEUROIMAGE,2018,183(NA):366-374. |
APA | Jiang, Rongtao.,Calhoun, Vince D..,Zuo, Nianming.,Lin, Dongdong.,Li, Jin.,...&Sui, Jing.(2018).Connectome-based individualized prediction of temperament trait scores.NEUROIMAGE,183(NA),366-374. |
MLA | Jiang, Rongtao,et al."Connectome-based individualized prediction of temperament trait scores".NEUROIMAGE 183.NA(2018):366-374. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Connectome-based ind(2691KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论