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

Yoed N Kenett1, John D Medaglia2, Roger E Beaty3

  • 1Department of Psychology, University of Pennsylvania, Philadelphia, PA 19104, USA.

Neuropsychologia
|January 9, 2018
PubMed
Summary

Network control theory reveals how cognitive control influences intelligence and creativity. Intelligence is linked to easily reachable brain states, while creativity involves accessing difficult states, with distinct brain regions playing key roles.

Keywords:
Cognitive controlCreativityIntelligenceNetwork control theory

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Computational Biology

Background:

  • High-level cognitive functions like intelligence and creativity involve complex processes, including cognitive control.
  • Neurocognitive research emphasizes dynamic interactions within neural networks and the role of cognitive control in guiding these interactions.

Purpose of the Study:

  • To quantitatively examine the contribution of cognitive control to creativity and intelligence.
  • To explore the relationship between network control theory and individual differences in creative ability and intelligence.

Main Methods:

  • Application of computational network control theory (NCT) to structural brain imaging data (diffusion tensor imaging).
  • Analysis of a large participant sample to relate NCT measures to distinct creativity and intelligence metrics.
  • Utilizing a brain dynamics model to characterize the role of each brain region in regulating whole-brain network function.

Main Results:

  • Intelligence correlates with the right inferior parietal lobe's ability to drive the brain into easily reachable states and reduced integration in the left retrosplenial cortex.
  • Creativity is associated with the right dorsolateral prefrontal cortex (inferior frontal junction) driving the brain into difficult-to-reach states and enhanced sensorimotor integration.
  • Different facets of creativity (fluency, flexibility, originality) show similar but not identical network controllability patterns.

Conclusions:

  • Network control theory provides a quantitative framework for understanding cognitive control's role in intelligence and creativity.
  • Specific brain regions and network dynamics are differentially implicated in intelligence and creativity.
  • Findings offer insights into the neural underpinnings of distinct cognitive abilities and their facets.