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. 2018 Jan 30;115(5):1087-1092.
doi: 10.1073/pnas.1713532115. Epub 2018 Jan 16.

Robust prediction of individual creative ability from brain functional connectivity

Affiliations

Robust prediction of individual creative ability from brain functional connectivity

Roger E Beaty et al. Proc Natl Acad Sci U S A. .

Abstract

People's ability to think creatively is a primary means of technological and cultural progress, yet the neural architecture of the highly creative brain remains largely undefined. Here, we employed a recently developed method in functional brain imaging analysis-connectome-based predictive modeling-to identify a brain network associated with high-creative ability, using functional magnetic resonance imaging (fMRI) data acquired from 163 participants engaged in a classic divergent thinking task. At the behavioral level, we found a strong correlation between creative thinking ability and self-reported creative behavior and accomplishment in the arts and sciences (r = 0.54). At the neural level, we found a pattern of functional brain connectivity related to high-creative thinking ability consisting of frontal and parietal regions within default, salience, and executive brain systems. In a leave-one-out cross-validation analysis, we show that this neural model can reliably predict the creative quality of ideas generated by novel participants within the sample. Furthermore, in a series of external validation analyses using data from two independent task fMRI samples and a large task-free resting-state fMRI sample, we demonstrate robust prediction of individual creative thinking ability from the same pattern of brain connectivity. The findings thus reveal a whole-brain network associated with high-creative ability comprised of cortical hubs within default, salience, and executive systems-intrinsic functional networks that tend to work in opposition-suggesting that highly creative people are characterized by the ability to simultaneously engage these large-scale brain networks.

Keywords: connectome; creativity; divergent thinking; fMRI.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Fig. 1.
Fig. 1.
Depictions of the high- and low-creative networks. Circle plots (A) and glass brains (B) were thresholded to show the highest degree (k) nodes in the networks (high-creative k = 10, low-creative k = 18). Colors within the circle plots correspond to lobes of the brain. L, left hemisphere; R, right hemisphere.
Fig. 2.
Fig. 2.
Correlation between predicted and observed creativity scores, standardized for visualization.

References

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