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Development of common neural representations for distinct numerical problems.

Ting-Ting Chang1, Miriam Rosenberg-Lee2, Arron W S Metcalfe3

  • 1Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA; Department of Psychology/Research Center for Mind, Brain & Learning, National Chengchi University, Taipei, Taiwan.

Neuropsychologia
|July 11, 2015
PubMed
Summary

Brain development shows common neural representations for addition and subtraction emerge with age. This maturation in brain regions supports mathematical reasoning skills in children and adults.

Keywords:
ArithmeticDorsal lateral prefrontal cortexFusiform gyrusIntraparietal sulcusMultivoxel representational similarityProblem solvingRepresentational similarity analysis

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Developmental Psychology

Background:

  • Understanding how the brain forms abstract representations is a key neuroscience question.
  • Arithmetic problem-solving is crucial for developing mathematical reasoning skills.

Purpose of the Study:

  • To investigate common neural representations for addition and subtraction in adults and children.
  • To examine how these neural representations change during development.

Main Methods:

  • Whole-brain multivoxel representational similarity (MRS) analysis was used.
  • Compared neural representations for addition and subtraction in children and adults.

Main Results:

  • Adults showed significant representational similarity between addition and subtraction in the intraparietal sulcus (IPS), posterior parietal cortex (PPC), and other brain regions.
  • Children exhibited reduced representational similarity compared to adults in these same areas.
  • No brain regions showed greater similarity in children compared to adults.

Conclusions:

  • Arithmetic skill development involves the maturation of common neural representations for numerical operations.
  • These changes occur in distributed brain networks crucial for numerical cognition.
  • Representational analysis is a powerful tool for studying cognitive development.