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Structural neuroplasticity in computer programming beginners.

Takeshi Hongo1,2, Takao Yakou3,2, Kenji Yoshinaga4,2

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Learning computer programming induces structural brain changes in novice university students. Neuroplasticity was observed in areas related to goal achievement, deduction, and reward, highlighting the cognitive demands of coding.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Computer Science Education

Background:

  • Understanding the neural underpinnings of acquiring new complex skills is crucial.
  • Computer programming represents a complex cognitive task with potential for significant neuroplasticity.
  • Previous research has not extensively explored structural brain changes associated with learning programming in novices.

Purpose of the Study:

  • To investigate the structural neuroplastic changes in the brain associated with learning computer programming.
  • To identify specific brain regions affected by programming education in individuals with no prior experience.
  • To correlate the extent of gray matter volume changes with learning performance.

Main Methods:

  • Longitudinal analysis of magnetic resonance imaging (MRI) scans.
  • Comparison of brain gray matter volume (GMV) before and after a 15-week computer programming course.
  • Correlation analysis between GMV changes and student performance scores (final product and test scores).

Main Results:

  • Significant neuroplastic changes in gray matter volume were observed in 8 brain regions.
  • Affected areas include the frontal pole, medial frontal gyrus, cuneus, cerebellum, and pallidum.
  • GMV changes in the right frontal pole correlated with final product scores, while changes in the right medial frontal gyrus and bilateral pallidum correlated with test scores.

Conclusions:

  • Learning computer programming induces significant structural neuroplasticity in the brain.
  • Specific brain regions, including the frontal pole, medial frontal gyrus, and pallidum, are involved in programming acquisition.
  • These brain regions are associated with distinct functions such as goal achievement, deduction, and reward processing, underscoring the multifaceted cognitive nature of programming learning.