{"success":true,"database":"eegdash","data":{"_id":"696fdefaac44fa1028dc631e","dataset_id":"ds007180","associated_paper_doi":"10.1523/eneuro.0076-26.2026","authors":["Águeda Fuentes-Guerra","Elisa Martín Arévalo","Freek van Ede","Carlos González-García"],"bids_version":"1.4.0","contact_info":null,"contributing_labs":null,"data_processed":false,"dataset_doi":"doi:10.18112/openneuro.ds007180.v1.0.0","datatypes":["eeg"],"demographics":{"subjects_count":25,"ages":[30,22,23,23,25,31,21,21,23,23,22,24,23,21,23,20,21,23,18,23,18,21,23,21,29],"age_min":18,"age_max":31,"age_mean":22.88,"species":null,"sex_distribution":{"f":18,"m":7},"handedness_distribution":null},"experimental_modalities":null,"external_links":{"paper_url":"https://www.eneuro.org/content/eneuro/early/2026/03/24/ENEURO.0076-26.2026.full.pdf"},"funding":["This work was supported by the Spanish Ministry of Science and Innovation and the State Research Agency [research Project PID2020-116342GA-I00 to EMA and CGG, PID2023-149428NB-I00 to CGG, and PID2024-157672NB-I00 to EMA, funded MICIU/AEI/10.13039/501100011033/FEDER, EU]. CGG was also supported by Grant Ramón y Cajal RYC2021-033536-I funded by MCIN/AEI/10.13039/501100011033 and by the European Union Next Generation EU/PRTR. FvE was supported by an ERC Starting Grant from the European Research Council (MEMTICIPATION, 850636) and an NWO Vidi Grant by the Dutch Research Council (grant number 14721). AFG was supported by Grant PRE2021-100351, funded by MCIN/AEI/10.13039/501100011033. Additionally, this publication was funded by the European Social Fund Plus ESF+, CEX2023-001312-M by MCIN/AEI/10.13039/501100011033 and by the UCE-PP2023-11 by the University of Granada as an Excellence Unit Program. This work is part of the doctoral thesis of AFG, under the supervision of EMA and CGG."],"ingestion_fingerprint":"1b1ae8a039c50ce6186f80abd0fedc555858b29ddc88e1e65822c66187c68177","license":"CC0","n_contributing_labs":null,"name":"Exo-EEG Experiment","readme":"Exo-EEG Experiment\nParticipants: see participants.tsv\nTask: exo (see *_eeg.json)\nContact: aguedafgt@ugr.es","recording_modality":["eeg"],"senior_author":null,"sessions":[],"size_bytes":15756214856,"source":"openneuro","storage":{"backend":"s3","base":"s3://openneuro.org/ds007180","raw_key":"dataset_description.json","dep_keys":["CHANGES","README","participants.json","participants.tsv"]},"study_design":null,"study_domain":null,"tasks":["exo"],"timestamps":{"digested_at":"2026-05-31T16:28:11.876996+00:00","dataset_created_at":null,"dataset_modified_at":null},"total_files":25,"computed_title":"Exo-EEG Experiment","nchans_counts":[{"val":63,"count":25}],"sfreq_counts":[{"val":500.0,"count":25}],"stats_computed_at":"2026-05-31T19:34:32.603455+00:00","total_duration_s":125012.12,"tagger_meta":{"model":"openai/gpt-4o","tagged_at":"2026-06-10T08:19:41Z","source":"eegdash-llm-tagger"},"tags":{"pathology":["Healthy"],"modality":["Unknown"],"type":["Unknown"],"confidence":{"pathology":0.8,"modality":0.5,"type":0.5},"reasoning":{"few_shot_analysis":"The few-shot examples provide guidance on labeling conventions. One relevant example involves a 'Meta-rdk: Preprocessed EEG data' dataset that includes participants with schizophrenia performing a visual discrimination task. This task is labeled as 'Schizophrenia/Psychosis' for pathology and 'Perception' for type. This example aids in determining the type and pathology when cognitive paradigms like visual or auditory tasks are used in similar contexts.","metadata_analysis":"The metadata mentions 'Exo-EEG Experiment' with participants' details but lacks specific information about the task, such as stimulus modality or specific cognitive constructs. There are quoted terms: 'Task: exo' and 'Participants: see participants.tsv'. However, the 'exo' task description is unspecified, providing no direct reference to a sensory modality or cognitive purpose.","paper_abstract_analysis":"No useful paper information provided as the dataset lacks a published abstract or detailed description of research aims or methodologies.","evidence_alignment_check":"1. Pathology: The metadata does not specify a clinical population, implying healthy participants. Few-shot examples suggest 'Healthy' when no pathology is explicitly mentioned. Both align in categorizing participants as healthy.\n2. Modality: The metadata does not explicitly state the sensory modality of any stimuli used in the 'exo' task. Without this, there's no alignment, leading to 'Unknown'.\n3. Type: With no explicit task description or goal, and based on few-shot examples where lack of task details leads to 'Unknown', this label is appropriate.","decision_summary":"Pathology: Metadata suggests healthy participants, aligning with few-shot conventions for 'Healthy'. Modality: Absent explicit details, it defaults to 'Unknown'. Type: Lacking concrete cognitive task purpose leads to 'Unknown'. Confidences are adjusted based on the lack of clarifying detail in metadata and few-shot reference necessity."}},"canonical_name":null,"name_confidence":0.79,"name_meta":{"suggested_at":"2026-04-14T10:18:35.343Z","model":"openai/gpt-5.2 + openai/gpt-5.4-mini + deterministic_fallback"},"name_source":"author_year","author_year":"FuentesGuerra2026","bad_channels_info":null,"ethics_approvals":["The study was conducted in accordance with the ethical guidelines of the Department of Experimental Psychology at the University of Granada and adhered to the principles of the Declaration of Helsinki (2013 revision, Brazil). The protocol was approved by the University of Granada Ethics Committee (Ref: 1816/CEIH/2020)."],"associated_paper_meta":{"channel":"citation/epmc-oa","confidence":"high","author_overlap":2,"is_oa":true,"oa_status":"gold","source":"paper_resolver"}}}