Literature DB >> 29518564

Neural and genetic determinants of creativity.

Zhaowen Liu1, Jie Zhang2, Xiaohua Xie3, Edmund T Rolls4, Jiangzhou Sun5, Kai Zhang6, Zeyu Jiao7, Qunlin Chen5, Junying Zhang8, Jiang Qiu9, Jianfeng Feng10.   

Abstract

Creative thinking plays a vital role in almost all aspects of human life. However, little is known about the neural and genetic mechanisms underlying creative thinking. Based on a cross-validation based predictive framework, we searched from the whole-brain connectome (34,716 functional connectivities) and whole genome data (309,996 SNPs) in two datasets (all collected by Southwest University, Chongqing) consisting of altogether 236 subjects, for a better understanding of the brain and genetic underpinning of creativity. Using the Torrance Tests of Creative Thinking score, we found that high figural creativity is mainly related to high functional connectivity between the executive control, attention, and memory retrieval networks (strong top-down effects); and to low functional connectivity between the default mode network, the ventral attention network, and the subcortical and primary sensory networks (weak bottom-up processing) in the first dataset (consisting of 138 subjects). High creativity also correlates significantly with mutations of genes coding for both excitatory and inhibitory neurotransmitters. Combining the brain connectome and the genomic data we can predict individuals' creativity scores with an accuracy of 78.4%, which is significantly better than prediction using single modality data (gene or functional connectivity), indicating the importance of combining multi-modality data. Our neuroimaging prediction model built upon the first dataset was cross-validated by a completely new dataset of 98 subjects (r = 0.267, p = 0.0078) with an accuracy of 64.6%. In addition, the creativity-related functional connectivity network we identified in the first dataset was still significantly correlated with the creativity score in the new dataset (p<10-3). In summary, our research demonstrates that strong top-down control versus weak bottom-up processes underlie creativity, which is modulated by competition between the glutamate and GABA neurotransmitter systems. Our work provides the first insights into both the neural and the genetic bases of creativity.
Copyright © 2018 Elsevier Inc. All rights reserved.

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Year:  2018        PMID: 29518564     DOI: 10.1016/j.neuroimage.2018.02.067

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  14 in total

1.  Genome-wide Association Study of Creativity Reveals Genetic Overlap With Psychiatric Disorders, Risk Tolerance, and Risky Behaviors.

Authors:  Huijuan Li; Chuyi Zhang; Xin Cai; Lu Wang; Fang Luo; Yina Ma; Ming Li; Xiao Xiao
Journal:  Schizophr Bull       Date:  2020-03-05       Impact factor: 9.306

2.  Network Neuroscience of Creative Cognition: Mapping Cognitive Mechanisms and Individual Differences in the Creative Brain.

Authors:  Roger E Beaty; Paul Seli; Daniel L Schacter
Journal:  Curr Opin Behav Sci       Date:  2018-09-13

Review 3.  The molecular genetic basis of creativity: a mini review and perspectives.

Authors:  Shun Zhang; Xiaolei Yang; Bozheng Zhang; Jinghuan Zhang
Journal:  Psychol Res       Date:  2022-02-26

4.  Editorial: Creativity in Pathological Brain Conditions Across the Lifespan.

Authors:  Barbara Colombo; Alice Cancer; Lindsey Carruthers; Alessandro Antonietti
Journal:  Front Psychol       Date:  2022-06-08

5.  Multimodal data revealed different neurobiological correlates of intelligence between males and females.

Authors:  Rongtao Jiang; Vince D Calhoun; Yue Cui; Shile Qi; Chuanjun Zhuo; Jin Li; Rex Jung; Jian Yang; Yuhui Du; Tianzi Jiang; Jing Sui
Journal:  Brain Imaging Behav       Date:  2020-10       Impact factor: 3.978

6.  Creative Connections: Computational Semantic Distance Captures Individual Creativity and Resting-State Functional Connectivity.

Authors:  William Orwig; Ibai Diez; Patrizia Vannini; Roger Beaty; Jorge Sepulcre
Journal:  J Cogn Neurosci       Date:  2020-12-07       Impact factor: 3.225

Review 7.  Neuroimaging-based Individualized Prediction of Cognition and Behavior for Mental Disorders and Health: Methods and Promises.

Authors:  Jing Sui; Rongtao Jiang; Juan Bustillo; Vince Calhoun
Journal:  Biol Psychiatry       Date:  2020-02-27       Impact factor: 13.382

8.  Mind Causality: A Computational Neuroscience Approach.

Authors:  Edmund T Rolls
Journal:  Front Comput Neurosci       Date:  2021-07-08       Impact factor: 2.380

9.  Cortical Networks of Creative Ability Trace Gene Expression Profiles of Synaptic Plasticity in the Human Brain.

Authors:  William Orwig; Ibai Diez; Elisenda Bueichekú; Patrizia Vannini; Roger Beaty; Jorge Sepulcre
Journal:  Front Hum Neurosci       Date:  2021-07-26       Impact factor: 3.169

10.  Task-induced brain connectivity promotes the detection of individual differences in brain-behavior relationships.

Authors:  Rongtao Jiang; Nianming Zuo; Judith M Ford; Shile Qi; Dongmei Zhi; Chuanjun Zhuo; Yong Xu; Zening Fu; Juan Bustillo; Jessica A Turner; Vince D Calhoun; Jing Sui
Journal:  Neuroimage       Date:  2019-11-18       Impact factor: 6.556

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