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Numerical processing in the two hemispheres: studies of a split-brain patient.

Mary K Colvin1, Margaret G Funnell, Michael S Gazzaniga

  • 1Department of Psychological and Brain Sciences, Center for Cognitive Neuroscience, Dartmouth College, 6207 Moore Hall, Hanover, NH 03755, USA. mary.k.colvin@dartmouth.edu

Brain and Cognition
|January 5, 2005
PubMed
Summary

This study investigated numerical processing in a split-brain patient, finding both hemispheres equally adept at subitizing but with the left hemisphere showing greater accuracy in magnitude comparison tasks involving number words.

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Area of Science:

  • Cognitive Neuroscience
  • Neuropsychology
  • Human Brain Function

Background:

  • Previous research on numerical cognition primarily utilized neuroimaging and lesion studies.
  • The distinct roles of the left and right cerebral hemispheres in numerical processing remain incompletely understood.
  • A systematic investigation within a single study is needed to clarify hemispheric contributions.

Observation:

  • This study examined subitizing and magnitude comparison in a split-brain patient, allowing for independent assessment of each hemisphere.
  • Experiments involved enumerating small sets of stimuli and comparing magnitudes of numerical representations (numerals, number words, dot arrays).
  • Stimuli were presented identically or differently coded to probe cross-modal numerical understanding.

Findings:

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  • Both the left and right hemispheres demonstrated equal proficiency in subitizing (enumerating sets of 1-4 stimuli).
  • Both hemispheres could perform magnitude comparisons across different numerical codes, exhibiting the typical distance effect.
  • The left hemisphere showed superior accuracy compared to the right hemisphere specifically when processing number words.

Implications:

  • Findings suggest a degree of functional equivalence between hemispheres for basic numerical tasks like subitizing.
  • Hemispheric specialization may emerge for more complex numerical representations, such as number words.
  • Results contribute to refining models of numerical cognition, such as Dehaene's triple-code model, by detailing hemispheric contributions.