Effect of obesity on arithmetic processing in preteens with high and low math skills. An event-related potentials study

Introduction

This EEG dataset contains the electrophysiological signal from sixty-two obese and non-obese preteens
during a delayed-verification math task. The stimuli were designed and administered using E-Prime
software (Version 2) at Arkansas Children Nutrition Center (ACNC), Little Rock, Arkansas.
The University of Arkansas for Medical Sciences (UAMS) approved the study protocol. This research
was supported by USDA/Agricultural Research Service Project 6026-51000-012-06S.

Raw data files

The data was acquired with a Geodesic Net Amps 300 system running Netstation 4.5.2 software using
the 128-channel Geodesic Hydrocell Sensor Net™ (Magstim EGI., Eugene OR, USA).
No operations have been performed on the data.

Participant data

The *Participants.tsv* file contains age, gender, body mass index (BMI), and performance.

How to cite

All use of this dataset in a publication context requires the following paper
to be cited:
Alatorre-Cruz, G.C., Downs, H., Hagood, D., Sorensen, S.T., Williams, D.K., Larson-Prior, L. (2022).
Effect of obesity on arithmetic processing in preteens with high and low math skills. An event-related
potentials study. Frontiers in Human Neurosciences, In press.

Contact
Questions regarding the EEG data may be addressed to
Catalina Alatorre-Cruz ([e-mail]).

Question regarding the project, in general, may be addressed to
Linda Larson-Prior ([e-mail]).