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Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
Published on: September 12, 2011
Frontoparietal white matter diffusion properties predict mental arithmetic skills in children.
Jessica M Tsang1, Robert F Dougherty, Gayle K Deutsch
1Department of Psychology, School of Education, Stanford University, Stanford, CA 94305, USA. jmtsang@stanford.edu
Summary
White matter pathways, specifically the left anterior superior longitudinal fasciculus (aSLF), are linked to mental arithmetic skills in children. Diffusion tensor imaging (DTI) revealed this connection between brain regions involved in mathematical tasks.
Area of Science:
- Neuroscience
- Cognitive Science
- Developmental Psychology
Background:
- Functional MRI studies show brain activity in parietal and frontal regions during mental arithmetic.
- The white matter pathways connecting these regions are not well understood in relation to arithmetic ability.
Purpose of the Study:
- To investigate the relationship between white matter integrity and mental arithmetic skills in children.
- To examine the role of the anterior superior longitudinal fasciculus (aSLF) using diffusion tensor imaging (DTI).
Main Methods:
- Diffusion tensor imaging (DTI) was used to measure white matter pathways in 28 children (ages 10-15).
- Fractional anisotropy (FA) was measured in the anterior portion of the superior longitudinal fasciculus (aSLF).
- Mental arithmetic skills were assessed using a task involving approximate answer choices.
Main Results:
- Fractional anisotropy (FA) in the left aSLF positively correlated with arithmetic approximation skill.
- This correlation was strongest in the core regions of the left aSLF and decreased towards the pathway endpoints.
- No significant correlation was found in the right aSLF, and the findings were independent of other cognitive abilities.
Conclusions:
- The integrity of the left anterior superior longitudinal fasciculus (aSLF) is associated with mental arithmetic approximation ability in children.
- Structural white matter properties, measured by DTI, can inform functional models of mental arithmetic.
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