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Neuro-functional differences associated with arithmetic processing in Turner syndrome.

Shelli R Kesler1, Vinod Menon, Allan L Reiss

  • 1Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305-5719, USA. skesler@stanford.edu

Cerebral Cortex (New York, N.Y. : 1991)
|September 2, 2005
PubMed
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Individuals with Turner syndrome (TS) show different brain activity during math tasks. Despite comparable performance, they use more brain resources for easy problems and less for difficult ones.

Area of Science:

  • Neurogenetics
  • Cognitive Neuroscience
  • Developmental Neurobiology

Background:

  • Turner syndrome (TS) is a genetic condition affecting phenotypic females due to X chromosome absence.
  • Individuals with TS often face challenges with mathematical abilities.
  • Understanding the neural basis of arithmetic processing in TS is crucial.

Purpose of the Study:

  • To investigate the neural mechanisms underlying arithmetic processing in individuals with Turner syndrome.
  • To compare brain activation patterns during math tasks between TS patients and controls.
  • To identify differences in neural resource recruitment related to task difficulty.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) was used to scan 15 subjects with TS and 15 controls.

Related Experiment Videos

  • Participants performed two-operand (easy) and three-operand (difficult) arithmetic tasks.
  • Brain activation in fronto-parietal regions was analyzed.

    • Main Results:

    • Both groups activated fronto-parietal areas during arithmetic tasks.
    • The TS group showed increased recruitment of frontal and parietal regions for the easy task.
    • The TS group exhibited reduced activation in frontal, parietal, and subcortical regions for the difficult task, despite comparable performance.

    Conclusions:

    • Individuals with TS display distinct neural activation patterns during arithmetic processing compared to controls.
    • TS patients may over-recruit neural resources for simpler math problems.
    • A potentially inefficient neural response to increased mathematical complexity is observed in TS.