{"dataset":{"id":"54524","dataset_id":"on004019","name":"Effect of obesity on arithmetic processing in preteens with high and low math skills. An event-related potentials study","description":"This EEG dataset comprises electrophysiological recordings from 62 obese and non-obese preteens performing a delayed-verification arithmetic task. The study investigates the effect of obesity on neural processing of mathematical cognition in children with varying math proficiency levels using 128-channel high-density electroencephalography. Event-related potentials were recorded to examine differences in brain activity during arithmetic processing between groups.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on004019","concept_doi":"10.82901/nemar.on004019","latest_version_doi":"10.82901/nemar.on004019.v1.0.0","created_at":"2026-06-23 02:31:47","updated_at":"2026-07-10 22:23:42","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"enriched\",\n  \"title\": \"Effect of obesity on arithmetic processing in preteens with high and low math skills. An event-related potentials study\",\n  \"description\": \"This EEG dataset comprises electrophysiological recordings from 62 obese and non-obese preteens performing a delayed-verification arithmetic task. The study investigates the effect of obesity on neural processing of mathematical cognition in children with varying math proficiency levels using 128-channel high-density electroencephalography. Event-related potentials were recorded to examine differences in brain activity during arithmetic processing between groups.\",\n  \"methods_description\": \"EEG data were acquired using a Geodesic Net Amps 300 system with 128-channel Geodesic Hydrocell Sensor Net at 250 Hz sampling rate running Netstation 4.5.2 software. Stimuli were presented using E-Prime software (Version 2) in a delayed-verification math task paradigm. Participant characteristics including age, gender, body mass index (BMI), and task performance were recorded.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Graciela C. Alatorre-Cruz\": {},\n    \"Heather Downs\": {},\n    \"Darcy Hagood\": {},\n    \"Seth T. Sorensen\": {},\n    \"D. Keith Williams\": {},\n    \"Linda Larson-Prior\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"event-related potentials\"\n    },\n    {\n      \"term\": \"arithmetic processing\"\n    },\n    {\n      \"term\": \"obesity\"\n    },\n    {\n      \"term\": \"mathematical cognition\"\n    },\n    {\n      \"term\": \"children\"\n    },\n    {\n      \"term\": \"cognitive neuroscience\"\n    },\n    {\n      \"term\": \"delayed-verification task\"\n    },\n    {\n      \"term\": \"high-density EEG\"\n    },\n    {\n      \"term\": \"pediatric neuroscience\"\n    },\n    {\n      \"term\": \"body mass index\"\n    },\n    {\n      \"term\": \"preteen\"\n    },\n    {\n      \"term\": \"child development\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on004019\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataexplorer/detail?dataset_id=on004019\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.3389/fnhum.2022.XXXXX\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds004019.v1.0.0\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    }\n  ],\n  \"funding_references\": [\n    {\n      \"funder_name\": \"USDA/Agricultural Research Service\",\n      \"award_number\": \"6026-51000-012-06S\"\n    }\n  ],\n  \"resource_type_specific\": \"EEG Dataset\",\n  \"modalities\": [\n    \"eeg\"\n  ],\n  \"sizes\": [\n    \"18.5 GB (65 files)\"\n  ],\n  \"formats\": [\n    \".es2\",\n    \".jpg\",\n    \".json\",\n    \".md\",\n    \".set\",\n    \".tsv\",\n    \".yml\"\n  ],\n  \"source_hash\": \"43efecef944aaa26d1ffbef52caed7e15792675796bb6040ae5e4e88ca677ad9\"\n}","last_activity_at":"2026-06-23 02:31:47","source":"openneuro","source_id":"ds004019","subject_count":62,"modalities":"eeg","age_min":9,"age_max":10,"file_size":18550700001,"total_files":444,"tasks":"math","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Graciela C. Alatorre-Cruz, Heather Downs, Darcy Hagood, Seth T. Sorensen, D. Keith Williams, Linda Larson-Prior","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004019-blue)](https://doi.org/10.82901/nemar.on004019)\n\n Introduction\n\nThis EEG dataset contains the electrophysiological signal from sixty-two obese and non-obese preteens \nduring a delayed-verification math task. The stimuli were designed and administered using E-Prime \nsoftware (Version 2) at Arkansas Children Nutrition Center (ACNC), Little Rock, Arkansas.\nThe University of Arkansas for Medical Sciences (UAMS) approved the study protocol. This research\nwas supported by USDA/Agricultural Research Service Project 6026-51000-012-06S.\n\n Raw data files\n\nThe data was acquired with a Geodesic Net Amps 300 system running Netstation 4.5.2 software using \nthe 128-channel Geodesic Hydrocell Sensor Net™ (Magstim EGI., Eugene OR, USA).\nNo operations have been performed on the data.\n\nParticipant data\n\nThe *Participants.tsv* file contains age, gender, body mass index (BMI), and performance. \n\n\nHow to cite\n\nAll use of this dataset in a publication context requires the following paper\nto be cited:\nAlatorre-Cruz, G.C., Downs, H., Hagood, D., Sorensen, S.T.,  Williams, D.K., Larson-Prior, L. (2022).\nEffect of obesity on arithmetic processing in preteens with high and low math skills. An event-related\npotentials study. Frontiers in Human Neurosciences, In press.\n\n\nContact\nQuestions regarding the EEG data may be addressed to\nCatalina Alatorre-Cruz (gcalatorrecruz@uams.edu).\n\nQuestion regarding the project, in general, may be addressed to\nLinda Larson-Prior (ljlarsonprior@uams.edu). 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