{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a3430","dataset_id":"ds006018","associated_paper_doi":null,"authors":["Elif Isbell","Amanda N. Peters","Dylan M. Richardson","Nancy E. R. De León"],"bids_version":"1.9.0","contact_info":["Elif Isbell"],"contributing_labs":null,"data_processed":false,"dataset_doi":"doi:10.18112/openneuro.ds006018.v1.2.2","datatypes":["eeg"],"demographics":{"subjects_count":127,"ages":[],"age_min":null,"age_max":null,"age_mean":null,"species":null,"sex_distribution":{"f":73,"m":53,"o":1},"handedness_distribution":{"r":116,"l":7}},"experimental_modalities":null,"external_links":{"source_url":"https://openneuro.org/datasets/ds006018","osf_url":null,"github_url":null,"paper_url":null},"funding":["Research start-up funds awarded to Elif Isbell by University of California Merced."],"ingestion_fingerprint":"e0d11ab0414dc7f1cc4ca02feb6a3d129f8f4141efa8376b22c9fa804cf7f2d7","license":"CC0","n_contributing_labs":null,"name":"Cognitive Electrophysiology in Socioeconomic Context in Adulthood: An EEG dataset","readme":"## The Cognitive Electrophysiology in Socioeconomic Context in Adulthood Dataset\n# Data Description\nThis dataset comprises electroencephalogram (EEG) data collected from 127 young adults (18-30 years), along with retrospective objective and subjective indicators of childhood family socioeconomic status (SES), as well as SES indicators in adulthood, such as educational attainment, individual and household income, food security, and home and neighborhood characteristics. The EEG data were recorded with tasks directly acquired from the Event-Related Potentials Compendium of Open Resources and Experiments ERP CORE (Kappenman et al., 2021), or adapted from these tasks (Isbell et al., 2024). These tasks were optimized to capture neural activity manifest in perception, cognition, and action, in neurotypical young adults. Furthermore, the dataset includes a symptoms checklist, consisting of questions that were found to be predictive of symptoms consistent with attention-deficit/hyperactivity disorder (ADHD) in adulthood, which can be used to investigate the links between ADHD symptoms and neural activity in a socioeconomically diverse young adult sample. The detailed description of the dataset is accepted for publication in Scientific Data, with the title: \"Cognitive Electrophysiology in Socioeconomic Context in Adulthood.\"\n# EEG Recording\nEEG data were recorded using the Brain Products actiCHamp Plus system, in combination with BrainVision Recorder (Version 1.25.0101). We used a 32-channel actiCAP slim active electrode system, with electrodes mounted on elastic snap caps (Brain Products GmbH, Gilching, Germany). The ground electrode was placed at FPz. From the electrode bundle, we repurposed 2 electrodes by placing them on the mastoid bones behind the left and right ears to be used for re-referencing after data collection. We also repurposed 3 additional electrodes to record electrooculogram (EOG). To capture eye artifacts, we placed the horizontal EOG (HEOG) electrodes ateral to the external canthus of each eye. We also placed one vertical EOG (VEOG) electrode below the right eye. The remaining 27 electrodes were used as scalp electrodes, which were mounted per the international 10/20 system. EEG data were recorded at a sampling rate of 500 Hz and referenced to the Cz electrode. StimTrak was used to assess stimulus presentation delays for both the monitor and headphones. The results indicated that both the visual and auditory stimuli had a delay of approximately 20 ms. Therefore, users should shift the event-codes by 20 ms when conducting stimulus-locked analyses.\n# Notes\nBefore the data were publicly shared, all identifiable information was removed, including date of birth, date of session, race/ethnicity, zip code, occupation (self and parent), and names of the languages the participants reported speaking and understanding fluently. Date of birth and date of session were used to compute age in years, which is included in the dataset. Furthermore, several variables were recoded based on re-identification risk assessments. Users who would like to establish secure access to components of the dataset we could not publicly share due to re-identification risks, should contact the corresponding researcher as described below. The dataset consists of participants recruited for studies on adult cognition in context. To provide the largest sample size, we included all participants who completed at least one of the EEG tasks of interest. Each participant completed each EEG task only once. The original participant IDs with which the EEG data were saved were recoded and the raw EEG files were renamed to make the dataset BIDS compatible.\nThe ERP CORE experimental tasks can be found on OSF, under Experiment Control Files: https://osf.io/thsqg/\nExamples of EEGLAB/ERPLAB data processing scripts that can be used with the EEG data shared here can be found on OSF:\nosf.io/thsqg\nosf.io/43H75\nContact\n * If you have any questions, comments, or requests, please contact:\n * Elif Isbell: eisbell@ucmerced.edu\n# Copyright and License\nThis dataset is licensed under CC0.\n# References\nIsbell, E., Peters, A. N., Richardson, D. M., & Rodas De León, N. E. (2025). Cognitive electrophysiology in socioeconomic context in adulthood. Scientific Data, 12(1), 1–9. https://doi.org/10.1038/s41597-025-05209-z\nIsbell, E., De León, N. E. R., & Richardson, D. M. (2024). Childhood family socioeconomic status is linked to adult brain electrophysiology. PloS One, 19(8), e0307406.\nIsbell, E., De León, N. E. R. & Richardson, D. M. Childhood family socioeconomic status is linked to adult brain electrophysiology - accompanying analytic data and code. OSF https://doi.org/10.17605/osf.io/43H75 (2024).\nKappenman, E. S., Farrens, J. L., Zhang, W., Stewart, A. X., & Luck, S. J. (2021). ERP CORE: An open resource for human event-related potential research. NeuroImage, 225, 117465.\nKappenman, E. S., Farrens, J., Zhang, W., Stewart, A. X. & Luck, S. J. ERP CORE. https://osf.io/thsqg (2020).\nKappenman, E., Farrens, J., Zhang, W., Stewart, A. & Luck, S. Experiment control files. https://osf.io/47uf2 (2020).","recording_modality":["eeg"],"senior_author":"Nancy E. R. De León","sessions":[],"size_bytes":11372008786,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["auditoryoddball","flanker","visualoddball","visualsearch"],"timestamps":{"digested_at":"2026-04-22T12:29:01.845186+00:00","dataset_created_at":"2025-03-14T04:33:40.169Z","dataset_modified_at":"2025-05-22T18:33:58.000Z"},"total_files":357,"storage":{"backend":"s3","base":"s3://openneuro.org/ds006018","raw_key":"dataset_description.json","dep_keys":["CHANGES","README.md","participants.json","participants.tsv"]},"tagger_meta":{"config_hash":"4a051be509a0e3d0","metadata_hash":"07ca9973e7a09014","model":"openai/gpt-5.2","tagged_at":"2026-01-20T18:47:23.181183+00:00"},"tags":{"pathology":["Healthy"],"modality":["Multisensory"],"type":["Other"],"confidence":{"pathology":0.8,"modality":0.8,"type":0.7},"reasoning":{"few_shot_analysis":"Conventions from few-shot examples: (1) Normative cohorts without disorder-based recruitment are labeled Pathology=Healthy (e.g., \"A Resting-state EEG Dataset for Sleep Deprivation\" and the digit-span dataset both use Healthy when participants are typical volunteers). (2) When both auditory and visual stimuli are part of the paradigm, Modality can be Multisensory (e.g., \"Cross-modal Oddball Task\" explicitly combines auditory+visual cues and is labeled Multisensory). This dataset similarly references both visual and auditory stimulus presentation hardware/delays, suggesting a mixed-modality battery rather than a single-channel paradigm. (3) When the dataset spans multiple cognitive domains rather than a single construct (unlike the digit-span example mapped to Memory), the Type convention tends toward a broad label (Type=Other) rather than forcing a single domain.","metadata_analysis":"Key facts from metadata/readme: (1) Population is non-clinical: \"EEG data collected from 127 young adults (18-30 years)\" and tasks were \"optimized to capture neural activity ... in neurotypical young adults.\" (2) Stimulus modalities include both channels: \"StimTrak was used to assess stimulus presentation delays for both the monitor and headphones\" and \"both the visual and auditory stimuli had a delay of approximately 20 ms.\" (3) Research purpose is broad/battery-style: tasks \"directly acquired from the Event-Related Potentials Compendium ... ERP CORE\" and \"optimized to capture neural activity manifest in perception, cognition, and action\"; additionally the dataset is framed around socioeconomic context (SES) and includes \"a symptoms checklist... predictive of symptoms consistent with ... ADHD\" but does not indicate recruitment of an ADHD-diagnosed cohort.","paper_abstract_analysis":"No useful paper information.","evidence_alignment_check":"Pathology: Metadata says participants are \"neurotypical young adults\" (and gives age range), with only an ADHD symptom checklist mentioned (no diagnosis-based recruitment). Few-shot convention labels such cohorts as Healthy. ALIGN.\nModality: Metadata explicitly mentions \"monitor and headphones\" and \"visual and auditory stimuli\". Few-shot convention supports using Multisensory when both auditory and visual stimuli are integral to the task set. ALIGN.\nType: Metadata describes a multi-task ERP CORE-derived battery spanning \"perception, cognition, and action\" and focusing on SES context, not a single cognitive construct. Few-shot examples show specific Types when a single paradigm dominates (e.g., digit span→Memory), but here breadth suggests Type=Other. ALIGN (no conflict; this is an application of the broad-coverage convention).","decision_summary":"Pathology top-2: (A) Healthy—supported by \"127 young adults\" and \"neurotypical young adults\"; (B) Other/Development—possible only because of ADHD symptom screening or lifespan/SES framing, but no disorder-based recruitment and age is 18–30, so Healthy wins. Confidence 0.8 (2 explicit population quotes; strong convention match).\nModality top-2: (A) Multisensory—supported by \"monitor and headphones\" and \"visual and auditory stimuli\"; (B) Visual—plausible because ERP CORE includes many visual paradigms, but the metadata explicitly asserts both channels. Multisensory wins. Confidence 0.8 (2 explicit modality quotes + few-shot analog to cross-modal paradigm labeling).\nType top-2: (A) Other—supported by broad description \"perception, cognition, and action\" and ERP CORE multi-paradigm battery; (B) Attention/Perception—plausible because many ERP CORE tasks target attention/perception, but no single construct is specified as primary. Other wins. Confidence 0.7 (explicit breadth quote, but no task list to narrow to a single construct)."}},"computed_title":"Cognitive Electrophysiology in Socioeconomic Context in Adulthood: An EEG dataset","nchans_counts":[{"val":30,"count":357}],"sfreq_counts":[{"val":500.0,"count":357}],"stats_computed_at":"2026-04-22T23:16:00.311228+00:00","total_duration_s":183198.84,"author_year":"Isbell2025_Adulthood","canonical_name":null}}