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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
ISSN1053-8119
2018-12-01
卷号183页码:366-374
通讯作者Jiang, Tianzi(jiangtz@nlpr.ia.ac.cn) ; Sui, Jing(jing.sui@nlpr.ia.ac.cn)
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)
DOI10.1016/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]
项目资助者China Natural Science Foundation ; Strategic Priority Research Program of the Chinese Academy of Sciences ; NIH ; National Science Foundation
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
专题脑网络组研究中心
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
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Jiang, Rongtao,Calhoun, Vince D.,Zuo, Nianming,et al. Connectome-based individualized prediction of temperament trait scores[J]. NEUROIMAGE,2018,183:366-374.
APA Jiang, Rongtao.,Calhoun, Vince D..,Zuo, Nianming.,Lin, Dongdong.,Li, Jin.,...&Sui, Jing.(2018).Connectome-based individualized prediction of temperament trait scores.NEUROIMAGE,183,366-374.
MLA Jiang, Rongtao,et al."Connectome-based individualized prediction of temperament trait scores".NEUROIMAGE 183(2018):366-374.
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