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Updated: Feb 2, 2026

Cortical Source Analysis of High-Density EEG Recordings in Children
Published on: June 30, 2014
Dataset on the EEG time-frequency representation in children with different levels of mathematical achievement
Andrés A González-Garrido1,2, Fabiola R Gómez-Velázquez1, Rebeca Romo-Vázquez3
1Instituto de Neurociencias, Universidad de Guadalajara, Francisco de Quevedo #180, Col. Arcos Vallarta, 44130 Guadalajara, Jalisco, México.
Abstract:
This article presents the data related to the research paper entitled "The analysis of EEG coherence reflects middle childhood differences in mathematical achievement" (González-Garrido et al., 2018). The dataset is derived from the electroencephalographic (EEG) records registered from a total of 60 8-9-years-old children with different math skill levels (High: HA, Average: AA, and Low Achievement: LA) while performing a symbolic magnitude comparison task. The average brain patterns are shown through Time-Frequency Representations (TFR) for each group, and also grand-mean amplitudes within specific EEG epochs in a 19-electrode array are provided. Making this information publicly available for further analyses could significantly contribute to a better understanding on how math achievement in children associates with cognitive processing strategies.
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