{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a33e7","dataset_id":"ds005420","associated_paper_doi":null,"authors":["Miriam de Jesús Sánchez Gama","Luis Alberto Barradas Chacón","Leticia Chacón Gutiérrez","Thalía Fernández Harmony","Carlos Augusto Novo Olivas","José María De La Roca Chiapas"],"bids_version":"1.7.0","contact_info":["Miriam Sánchez Gama"],"contributing_labs":null,"data_processed":false,"dataset_doi":"doi:10.18112/openneuro.ds005420.v1.0.0","datatypes":["eeg"],"demographics":{"subjects_count":37,"ages":[],"age_min":null,"age_max":null,"age_mean":null,"species":null,"sex_distribution":{"o":37},"handedness_distribution":null},"experimental_modalities":null,"external_links":{"source_url":"https://openneuro.org/datasets/ds005420","osf_url":null,"github_url":null,"paper_url":null},"funding":[],"ingestion_fingerprint":"b2e19891fafd856a308f7eb99d950a57a3eb9e82faf7e4a4dbbd50a30deb5672","license":"CC0","n_contributing_labs":null,"name":"Resting state EEG with closed eyes and open eyes in females from 60 to 80 years old","readme":"References\n----------\nAppelhoff, S., Sanderson, M., Brooks, T., Vliet, M., Quentin, R., Holdgraf, C., Chaumon, M., Mikulan, E., Tavabi, K., Höchenberger, R., Welke, D., Brunner, C., Rockhill, A., Larson, E., Gramfort, A. and Jas, M. (2019). MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. Journal of Open Source Software 4: (1896). https://doi.org/10.21105/joss.01896\nPernet, C. R., Appelhoff, S., Gorgolewski, K. J., Flandin, G., Phillips, C., Delorme, A., Oostenveld, R. (2019). EEG-BIDS, an extension to the brain imaging data structure for electroencephalography. Scientific Data, 6, 103. https://doi.org/10.1038/s41597-019-0104-8","recording_modality":["eeg"],"senior_author":"José María De La Roca Chiapas","sessions":[],"size_bytes":390188994,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["oa","oc"],"timestamps":{"digested_at":"2026-04-22T12:27:46.126050+00:00","dataset_created_at":"2024-08-21T17:19:54.276Z","dataset_modified_at":"2024-08-21T17:22:57.000Z"},"total_files":72,"storage":{"backend":"s3","base":"s3://openneuro.org/ds005420","raw_key":"dataset_description.json","dep_keys":["CHANGES","README","participants.json","participants.tsv"]},"tagger_meta":{"config_hash":"3557b68bca409f28","metadata_hash":"905e05e4414d07bc","model":"openai/gpt-5.2","tagged_at":"2026-04-07T09:32:40.872789+00:00"},"tags":{"pathology":["Healthy"],"modality":["Resting State"],"type":["Resting-state"],"confidence":{"pathology":0.7,"modality":0.85,"type":0.85},"reasoning":{"few_shot_analysis":"Most similar few-shot examples are the resting-state datasets. Example: \"A Resting-state EEG Dataset for Sleep Deprivation\" is labeled Modality=\"Resting State\" and Type=\"Resting-state\" when the metadata indicates eyes-open/eyes-closed resting recordings in a non-clinical sample. In contrast, the dementia resting-state example is labeled Pathology=\"Dementia\" and Type=\"Clinical/Intervention\" because the metadata explicitly recruits clinical groups (AD/FTD). This establishes the convention: resting eyes open/closed without an explicitly recruited disorder maps to Healthy + Resting State + Resting-state.","metadata_analysis":"Key metadata indicates a non-task resting EEG protocol:\n1) Title: \"Resting state EEG with closed eyes and open eyes in females from 60 to 80 years old\" (explicitly resting state; eyes open/closed).\n2) Tasks field: \"tasks\": [\"oa\", \"oc\"] (consistent with eyes open/eyes closed resting).\n3) Participants overview: \"Subjects: 37; Sex: {'o': 37}\" (all female; no diagnostic groups or patient/control fields mentioned).\nNo metadata text mentions any diagnosis (e.g., dementia/AD/PD) or clinical recruitment.","paper_abstract_analysis":"No useful paper information.","evidence_alignment_check":"Pathology:\n- Metadata says: no diagnosis is stated; only demographic restriction in title: \"females from 60 to 80 years old\" and participants overview has no group/diagnosis.\n- Few-shot pattern suggests: if resting-state and no clinical recruitment is specified, label as Healthy (as in the sleep-deprivation resting-state example).\n- Alignment: ALIGN (no conflict; absence of clinical facts supports Healthy-by-default convention).\n\nModality:\n- Metadata says: \"Resting state\" and tasks \"oa\", \"oc\" (eyes open/closed).\n- Few-shot pattern suggests: eyes-open/eyes-closed recordings map to Modality=\"Resting State\".\n- Alignment: ALIGN.\n\nType:\n- Metadata says: resting state with eyes open/closed (no cognitive task described).\n- Few-shot pattern suggests: passive resting paradigms map to Type=\"Resting-state\" (not Clinical/Intervention unless a disorder cohort is the primary focus).\n- Alignment: ALIGN.","decision_summary":"Top-2 comparative selections:\n\nPathology candidates:\n1) Healthy (SELECTED): Supported by lack of any clinical recruitment plus non-task resting EEG context. Quotes/features: title \"Resting state EEG...\", participants overview lacks diagnosis/groups (\"Subjects: 37; Sex: {'o': 37}\"). Few-shot analog: healthy resting-state sleep-deprivation dataset.\n2) Unknown (runner-up): Could be considered if health status is truly unspecified; however, OpenNeuro clinical datasets typically state diagnoses explicitly (see dementia few-shot).\nEvidence alignment: aligned with few-shot convention; no metadata conflict.\n\nModality candidates:\n1) Resting State (SELECTED): Quotes/features: title contains \"Resting state\"; tasks are \"oa\"/\"oc\" (eyes open/closed).\n2) Unknown (runner-up): only if tasks were unclear, but they are consistent with standard resting recordings.\nEvidence alignment: aligned.\n\nType candidates:\n1) Resting-state (SELECTED): Quotes/features: \"Resting state\" + eyes open/closed tasks.\n2) Clinical/Intervention (runner-up): would require explicit clinical cohort/recruitment focus, which is not present.\nEvidence alignment: aligned.\n\nConfidence justification:\n- Pathology confidence is moderate because there is no explicit statement like \"healthy volunteers\"; it is inferred from absence of diagnosis plus resting-state framing.\n- Modality and Type are higher because resting-state/eyes open-closed is explicitly stated in the title and reflected in tasks."}},"nemar_citation_count":0,"computed_title":"Resting state EEG with closed eyes and open eyes in females from 60 to 80 years old","nchans_counts":[{"val":20,"count":72}],"sfreq_counts":[{"val":500.0,"count":72}],"stats_computed_at":"2026-04-22T23:16:00.309591+00:00","total_duration_s":19482.854,"canonical_name":null,"name_confidence":0.55,"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":"Gama2024"}}