A neuroimaging data set on problem solving in the case of the reversal error: Putamen data
Lara Ferrando1, Noelia Ventura-Campos1,2, Irene Epifanio3
1Grup Neuropsicologia i Neuroimatge Funcional, Universitat Jaume I, Spain.
Data in Brief
|October 5, 2020
Summary
Brain structure differences in the putamen are linked to algebra problem-solving errors. Neuroeducation research reveals specific brain regions associated with mathematical performance and reversal errors in students.
Area of Science:
- Neuroscience
- Cognitive Psychology
- Educational Neuroscience
Background:
- Structural Magnetic Resonance Images (sMRI) were collected from university students.
- A specialized algebra problem-solving test was administered to assess reversal errors.
- Students were categorized into two groups based on error rates: high error (>60%) and no error.
Purpose of the Study:
- To identify key brain structures associated with neuroeducation and mathematical problem-solving.
- To investigate volumetric and shape differences in the putamen between students with varying algebra performance.
- To explore the neural correlates of reversal errors in mathematical tasks.
Main Methods:
- Volumetric analysis of structural MRI data.
- Pre-processing and segmentation of left and right putamen.
- Shape analysis of the putamen in relation to performance groups.
- Dataset includes sMRI data for 33 students (20 female) with group assignment.
Main Results:
- Significant volumetric differences were observed in the right and left putamen between the high-error and no-error groups.
- These findings suggest the putamen's involvement in algebra problem-solving accuracy.
- The study provides a dataset for further investigation into putamen morphology and function.
Conclusions:
- The putamen plays a relevant role in neuroeducation, specifically in mathematical problem-solving and error detection.
- Structural differences in the putamen may predict or be associated with performance in tasks involving reversal errors.
- This research highlights the potential of neuroimaging to understand learning processes and individual differences in academic skills.


