The Intersection of Creativity and Intelligence: Multidisciplinary Perspectives

A special issue of Journal of Intelligence (ISSN 2079-3200).

Deadline for manuscript submissions: 4 November 2026 | Viewed by 1343

Editors


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Guest Editor
School of Psychology, Central China Normal, Wuhan, China
Interests: creativity; online psychology and behavior; mental health education; family education; positive psychological cultivation; geriatric psychology

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Guest Editor
Faculty of Psychology, Shan Dong Normal University, Jinan, China
Interests: creativity; online psychology and behavior; mental health; family education; personality and social psychology
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Guest Editor
School of Psychology, Central China Normal, Wuhan, China
Interests: evolutionary mechanism of creativity; culture and innovation; adolescent cyberpsychology and behavior; mental health

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Guest Editor
Graduate School of Education, University of Pennsylvania, Philadelphia, PA, USA
Interests: designing AI-driven adaptive learning technologies; automated assessment; teacher language; learning engagement and performance

Special Issue Information

Dear Colleagues,

In recent years, with the rapid development of artificial intelligence, questions of intelligence and creativity have become more complex, and research on these areas has become more challenging. Correspondingly, exploring the intersection between intelligence and creativity from a multidisciplinary perspective has become a research challenge across a variety of fields.

The Journal of Intelligence has launched a Special Issue with the theme “The Intersection of Creativity and Intelligence: Multidisciplinary Perspectives” that aims to explore the complex relationship between creativity and intelligence, two core human abilities, and gather insights from multiple disciplines such as psychology, education, neuroscience, artificial intelligence, and science of organizational behaviour to promote theoretical integration and innovative development in this field. Areas of interest include, but are not limited to, the following topics:

(1) Creativity research integrated with artificial intelligence;

(2) The information processing mechanisms of creativity;

(3) Linking dimensions of intelligence and cognition (e.g., memory, attention, and metacognition) to creativity;

(4) Shared cognitive and neural foundations of intelligence and creativity;

(5) Other studies involving the intersection of intelligence and creativity.

We look forward to receiving your contributions.

Prof. Dr. Chuanhua Gu
Prof. Dr. Lei Han
Dr. Quanlei Yu
Dr. Haiying Li
Guest Editors

Manuscript Submission Information

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Keywords

  • intelligence
  • creativity
  • multidiscipline perspective

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Published Papers (1 paper)

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Research

14 pages, 1897 KB  
Article
Neural Correlates of Extraversion and Trait Creativity: A Graph Theory-Based Whole-Brain Functional Network Modularity Analysis
by Xiaoqian Ding, Fabin Dai, Xingbang Gai and Yi-Yuan Tang
J. Intell. 2026, 14(6), 94; https://doi.org/10.3390/jintelligence14060094 - 1 Jun 2026
Viewed by 338
Abstract
Background: Trait creativity is linked to brain functional connectivity, but prior studies have focused on isolated networks, neglecting whole-brain architecture. Extraversion overlaps with creativity, yet its neural mechanisms remain unclear. Objective: Our objective was to investigate whether whole-brain functional network modularity (Q) mediates [...] Read more.
Background: Trait creativity is linked to brain functional connectivity, but prior studies have focused on isolated networks, neglecting whole-brain architecture. Extraversion overlaps with creativity, yet its neural mechanisms remain unclear. Objective: Our objective was to investigate whether whole-brain functional network modularity (Q) mediates the relationship between extraversion and trait creativity. Methods: Forty-three healthy university students underwent resting-state fMRI and completed extraversion and creativity scales. Whole-brain functional networks were constructed using the AAL atlas. Modularity (Q) was computed from binary networks. Bivariate correlations and mediation analysis were performed. Results: Extraversion correlated positively with creativity (r = 0.38, p = .011) and modularity (r = 0.37, p = .014). Modularity correlated positively with creativity (r = 0.41, p = .007). Mediation analysis revealed a significant indirect effect of extraversion on creativity through modularity (ab = 0.113, 95% CI [0.005, 0.275]), with a non-significant direct effect. Conclusions: Whole-brain network modularity statistically mediates the extraversion–creativity relationship. Higher extraversion is associated with increased modularity, which in turn is associated with higher creativity. These findings provide preliminary associative evidence for a brain network basis linking personality to trait creativity. The results reflect cross-sectional statistical patterns and require replication in larger, longitudinal samples. Full article
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