Intelligence and Creativity Share a Common Cognitive and Neural Basis

被引:51
|
作者
Frith, Emily [1 ]
Elbich, Daniel B. [1 ]
Christensen, Alexander P. [2 ,6 ]
Rosenberg, Monica D. [3 ]
Chen, Qunlin [1 ,4 ]
Kane, Michael J. [2 ]
Silvia, Paul J. [2 ]
Seli, Paul [5 ]
Beaty, Roger E. [1 ]
机构
[1] Penn State Univ, Dept Psychol, 140 Moore Bldg, University Pk, PA 16801 USA
[2] Univ North Carolina Greensboro, Dept Psychol, Greensboro, NC USA
[3] Univ Chicago, Dept Psychol, Chicago, IL 60637 USA
[4] Southwest Univ, Sch Psychol, Chongqing, Peoples R China
[5] Duke Univ, Dept Psychol & Neurosci, Durham, NC 27706 USA
[6] Univ Penn, Dept Neurol, Philadelphia, PA 19104 USA
基金
美国国家科学基金会;
关键词
creativity; connectome-based predictive modeling; divergent thinking; intelligence; structural equation modeling; STATE FUNCTIONAL CONNECTIVITY; BROAD RETRIEVAL ABILITY; DIVERGENT THINKING; SEX-DIFFERENCES; INDIVIDUAL-DIFFERENCES; NETWORK NEUROSCIENCE; GENERAL INTELLIGENCE; GENDER-DIFFERENCES; MOTION ARTIFACT; WORKING-MEMORY;
D O I
10.1037/xge0000958
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Are intelligence and creativity distinct abilities, or do they rely on the same cognitive and neural systems? We sought to quantify the extent to which intelligence and creative cognition overlap in brain and behavior by combining machine learning of fMRI data and latent variable modeling of cognitive ability data in a sample of young adults (N = 186) who completed a battery of intelligence and creative thinking tasks. The study had 3 analytic goals: (a) to assess contributions of specific facets of intelligence (e.g., fluid and crystallized intelligence) and general intelligence to creative ability (i. e., divergent thinking originality), (b) to model whole-brain functional connectivity networks that predict intelligence facets and creative ability, and ( c) to quantify the degree to which these predictive networks overlap in the brain. Using structural equation modeling, we found moderate to large correlations between intelligence facets and creative ability, as well as a large correlation between general intelligence and creative ability (r = .63). Using connectome-based predictive modeling, we found that functional brain networks that predict intelligence facets overlap to varying degrees with a network that predicts creative ability, particularly within the prefrontal cortex of the executive control network. Notably, a network that predicted general intelligence shared 46% of its functional connections with a network that predicted creative ability-including connections linking executive control and salience/ventral attention networks-suggesting that intelligence and creative thinking rely on similar neural and cognitive systems.
引用
收藏
页码:609 / 632
页数:24
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