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Related Experiment Video

Updated: May 7, 2026

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

Relation between brain architecture and mathematical ability in children: a DBM study.

Zhaoying Han¹, Nicole Davis, Lynn Fuchs

¹Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN 37235, USA; Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN 37232, USA.

Magnetic Resonance Imaging

|October 8, 2013

Summary

This study used deformation-based morphometry to analyze brain structure in children with math difficulties. Significant anatomical variations were found in specific brain regions, correlating with mathematical performance.

Keywords:

Brain atlas Deformation based morphometry Mathematical ability Non-rigid registration

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Multimedia Battery for Assessment of Cognitive and Basic Skills in Mathematics (BM-PROMA)

Multimedia Battery for Assessment of Cognitive and Basic Skills in Mathematics (BM-PROMA)

Published on: August 28, 2021

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Last Updated: May 7, 2026

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

Multimedia Battery for Assessment of Cognitive and Basic Skills in Mathematics (BM-PROMA)

Multimedia Battery for Assessment of Cognitive and Basic Skills in Mathematics (BM-PROMA)

Published on: August 28, 2021

Area of Science:

Neuroscience
Developmental Psychology
Medical Imaging

Background:

Mathematical reasoning deficits affect 5-9% of US children, with limited understanding of underlying brain morphology.
Previous research has not extensively explored brain anatomical features associated with mathematical proficiency in children.

Purpose of the Study:

To investigate the correlation between brain morphological features and mathematical proficiency in children using deformation-based morphometry (DBM).
To compare brain morphology between children with math difficulties (MD) and normal controls (NC).

Main Methods:

Magnetic resonance images of 79 third graders were analyzed using DBM.
Five non-rigid registration algorithms were evaluated for their effect on DBM results.
Deformation Field Magnitude (DFM) and Jacobian determinant (JAC) were used to measure anatomical variations.

Main Results:

No statistically significant volumetric differences (JAC) were found between MD and NC groups.
DBM analysis using DFM revealed significant anatomical variations in the left occipital-temporal cortex, left orbital-frontal cortex, and right insular cortex.
Significant correlations were found between average DFM values in defined Regions of Interest (ROIs) and mathematical scores.

Conclusions:

DBM, particularly DFM analysis, can identify significant anatomical variations linked to mathematical performance in children.
The choice of registration algorithm impacts DBM results, recommending the use of multiple algorithms.
This study provides novel insights into the neuroanatomical correlates of mathematical abilities in children.