{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["21"],"submitter":["Gonzalez-Garrido AA"],"funding":["Universidad de Guadalajara"],"pubmed_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 "],"journal":["Data in brief"],"pagination":["1071-1075"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC6226595"],"repository":["biostudies-literature"],"pubmed_title":["Dataset on the EEG time-frequency representation in children with different levels of mathematical achievement."],"pmcid":["PMC6226595"],"pubmed_authors":["Gonzalez-Garrido AA","Gallardo-Moreno GB","Gomez-Velazquez FR","Romo-Vazquez R","Salido-Ruiz RA","Espinoza-Valdez A","Martinez-Ramos A","Velez-Perez H","Ruiz-Stovel VD"],"additional_accession":[]},"is_claimable":false,"name":"Dataset on the EEG time-frequency representation in children with different levels of mathematical achievement.","description":"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 ","dates":{"release":"2018-01-01T00:00:00Z","publication":"2018 Dec","modification":"2026-07-16T19:24:08.359Z","creation":"2026-07-09T13:16:11.115Z"},"accession":"S-EPMC6226595","cross_references":{"pubmed":["30450402"],"doi":["10.1016/j.dib.2018.10.105"]}}