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Brain Activations and Functional Connectivity Patterns Associated with Insight-Based and Analytical Anagram Solving.

Dmitry O Sinitsyn1, Ilya S Bakulin1, Alexandra G Poydasheva1

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Behavioral Sciences (Basel, Switzerland)
|November 11, 2020
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Summary

Sudden insight problem-solving shares similar brain activity with analytical approaches. Resting-state functional connectivity in specific brain regions correlates with individual insight frequency, suggesting unique neural underpinnings for insight.

Keywords:
Aha!-momentanagramscreativityfMRIfunctional connectivityinsightresting-state fMRI

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Area of Science:

  • Cognitive Neuroscience
  • Neuroimaging
  • Psychology

Background:

  • Insight problem-solving is a mysterious phenomenon crucial for scientific and cultural advancement.
  • Understanding the neural basis of insight is an active area of research.
  • Previous studies have used functional Magnetic Resonance Imaging (fMRI) to investigate insight.

Purpose of the Study:

  • To compare brain activations during anagram solving using insight versus analytical strategies.
  • To investigate functional connectivity patterns related to individual differences in insight frequency.

Main Methods:

  • Employed functional Magnetic Resonance Imaging (fMRI) to compare brain activity during insight and analytical anagram solutions.
  • Utilized resting-state fMRI to analyze functional connectivity patterns.
  • Subjects self-judged their solution strategies as either insight or analytical.

Main Results:

  • Both insight and analytical strategies activated similar brain regions, including the left premotor cortex, left claustrum, and bilateral precuneus/middle temporal gyrus.
  • Minimal differences in activation patterns were observed, potentially due to subject motion.
  • Resting-state fMRI revealed significant correlations in functional connectivity for insight frequency within the left premotor cortex, left claustrum, and left frontal eye field.

Conclusions:

  • The neural underpinnings of insight problem-solving may be more similar to analytical approaches than previously thought.
  • Individual differences in insight frequency are associated with specific resting-state functional connectivity patterns.
  • Future research should refine insight paradigms and explore structural/functional brain features for a deeper understanding of insight.