Individual differences in verbal creative thinking are reflected in the precuneus

Chen, Qun Lin; Xu, Ting; Yang, Wen Jing; Li, Ya Dan; Sun, Jiang Zhou; Wang, Kang Cheng; Beaty, Roger E.; Zhang, Qinglin; Zuo, Xi; Qiu, Jiang

doi:10.1016/j.neuropsychologia.2015.07.001

Cited by 69 publications

(39 citation statements)

References 74 publications

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“…First, despite an established relation between intelligence and creativity (Jauk et al, 2013), we only found a correlation between our measure of intelligence (CRT) and divergent thinking fluency (Table 1). In a previous report of these behavioral data (from the same sample; Chen et al, 2015), the authors suggested this relation might be due to the focus of the CRT on reasoning skills, which might be more similar in our sample of college students. Importantly, studies that have found a correlation between intelligence and creativity have done so only at a latent level, based on several measures of intelligence (Beaty et al, 2014; Benedek, Jauk, Sommer, et al, 2014; Nusbaum & Silvia, 2011), and not a single measure, as in the current study.…”

Section: Discussionmentioning

confidence: 54%

“…The sample was collected as part of a large research project exploring the associations among individual differences in brain structure and function, creativity, and mental health (Chen et al, 2016; Chen et al, 2015; W. Liu et al, 2017).…”

Section: Methodsmentioning

confidence: 99%

“…The TTCT was revised in Chinese by the Shanghai Normal University (Ye, Hong, & Torrance, 1988), and the scoring guide was slightly adjusted in recent studies because some responses were produced in contemporary times that were non-existent in the original guidelines (Chen et al, 2015; Wei et al, 2014). We administered five tasks out of the Chinese version of the TTCT: generating questions; causes and consequences; improving products; alternate uses; and manipulating objects.…”

Section: Methodsmentioning

confidence: 99%

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Driving the brain towards creativity and intelligence: A network control theory analysis

et al. 2018

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High-level cognitive constructs, such as creativity and intelligence, entail complex and multiple processes, including cognitive control processes. Recent neurocognitive research on these constructs highlight the importance of dynamic interaction across neural network systems and the role of cognitive control processes in guiding such a dynamic interaction. How can we quantitatively examine the extent and ways in which cognitive control contributes to creativity anf intelligence? To address this question, we apply a computational network control theory (NCT) approach to structural brain imaging data acquired via diffusion tensor imaging in a large sample of participants, to examine how NCT relates to individual differences in distinct measures of creative ability and intelligence. Recent application of this theory at the neural level is built on a model of brain dynamics, which mathematically models patterns of inter-region activity propagated along the structure of an underlying network. The strength of this approach is its ability to characterize the potential role of each brain region in regulating whole-brain network function based on its anatomical fingerprint and a simplified model of node dynamics. We find that intelligence is related to the ability to “drive” the brain system into easy to reach neural states by the right inferior parietal lobe and lower integration abilities in the left retrosplenial cortex. We also find that creativity is related to the ability to “drive” the brain system into difficult to reach states by the right dorsolateral prefrontal cortex (inferior frontal junction) and higher integration abilities in sensorimotor areas. Furthermore, we found that different facets of creativity—fluency, flexibility, and originality—relate to generally similar but not identical network controllability processes. We relate our findings to general theories on intelligence and creativity.

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Section: Discussionmentioning

confidence: 54%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Driving the brain towards creativity and intelligence: A network control theory analysis

et al. 2018

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“…We indeed found that joint variations in anatomical features and synchronized spontaneous fluctuations on the brain surface strongly predicted individual personality. In a similar vein, Chen et al (2015) reported that people with high verbal creative ability exhibited lower regional functional homogeneity in the right precuneus, and both cortical volume and thickness of the right precuneus were positively associated with individual verbal creativity (Chen et al, 2015). These findings provide evidence for a relationship between structural plasticity and intrinsic architecture of the brain.…”

Section: Discussionmentioning

confidence: 90%

“…Moreover, recent work has successfully related two different SBM analyses: vertex-wise and regional parcellation–based. Vertex-wise analysis has been used to demonstrate the relationship between personality and the brain's structural and functional mechanisms (De et al, 2013; Chen et al, 2015); while using a regional parcellation approach, FreeSurfer (Destrieux atlas) can automatically segment the brain into different cortical regions of interest, and calculate average thickness—along with other closely related measures, such as surface area and volume—in the defined regions (Destrieux et al, 2010), and this automated method also has been used to some personality studies (Guadalupe et al, 2014). But combining vertex-wise and regional parcellation investigations with respect to morphology-personality relationships are still lacking.…”

Section: Introductionmentioning

confidence: 99%

Neuronal Correlates of Individual Differences in the Big Five Personality Traits: Evidences from Cortical Morphology and Functional Homogeneity

et al. 2017

Front. Neurosci.

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There have been many neuroimaging studies of human personality traits, and it have already provided glimpse into the neurobiology of complex traits. And most of previous studies adopt voxel-based morphology (VBM) analysis to explore the brain-personality mechanism from two levels (vertex and regional based), the findings are mixed with great inconsistencies and the brain-personality relations are far from a full understanding. Here, we used a new method of surface-based morphology (SBM) analysis, which provides better alignment of cortical landmarks to generate about the associations between cortical morphology and the personality traits across 120 healthy individuals at both vertex and regional levels. While to further reveal local functional correlates of the morphology-personality relationships, we related surface-based functional homogeneity measures to the regions identified in the regional-based SBM correlation. Vertex-wise analysis revealed that people with high agreeableness exhibited larger areas in the left superior temporal gyrus. Based on regional parcellation we found that extroversion was negatively related with the volume of the left lateral occipito-temporal gyrus and agreeableness was negatively associated with the sulcus depth of the left superior parietal lobule. Moreover, increased regional homogeneity in the left lateral occipito-temporal gyrus is related to the scores of extroversion, and increased regional homogeneity in the left superior parietal lobule is related to the scores of agreeableness. These findings provide supporting evidence of a link between personality and brain structural mysteries with a method of SBM, and further suggest that local functional homogeneity of personality traits has neurobiological relevance that is likely based on anatomical substrates.

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Creative females have larger white matter structures: Evidence from a large sample study

Takeuchi

Taki

Nouchi

et al. 2016

Human Brain Mapping

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The importance of brain connectivity for creativity has been theoretically suggested and empirically demonstrated. Studies have shown sex differences in creativity measured by divergent thinking (CMDT) as well as sex differences in the structural correlates of CMDT. However, the relationships between regional white matter volume (rWMV) and CMDT and associated sex differences have never been directly investigated. In addition, structural studies have shown poor replicability and inaccuracy of multiple comparisons over the whole brain. To address these issues, we used the data from a large sample of healthy young adults (776 males and 560 females; mean age: 20.8 years, SD = 0.8). We investigated the relationship between CMDT and WMV using the newest version of voxel-based morphometry (VBM). We corrected for multiple comparisons over whole brain using the permutation-based method, which is known to be quite accurate and robust. Significant positive correlations between rWMV and CMDT scores were observed in widespread areas below the neocortex specifically in females. These associations with CMDT were not observed in analyses of fractional anisotropy using diffusion tensor imaging. Using rigorous methods, our findings further supported the importance of brain connectivity for creativity as well as its female-specific association. Hum Brain Mapp 38:414-430, 2017. © 2016 Wiley Periodicals, Inc.

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Individual differences in verbal creative thinking are reflected in the precuneus

Cited by 69 publications

References 74 publications

Driving the brain towards creativity and intelligence: A network control theory analysis

Driving the brain towards creativity and intelligence: A network control theory analysis

Neuronal Correlates of Individual Differences in the Big Five Personality Traits: Evidences from Cortical Morphology and Functional Homogeneity

Creative females have larger white matter structures: Evidence from a large sample study

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