{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a3393","dataset_id":"ds004849","associated_paper_doi":null,"authors":["Tony Johnson","Stephen Gordon","Jon Touryan","Kevin King"],"bids_version":"1.8.0","contact_info":["Kevin King"],"contributing_labs":null,"data_processed":false,"dataset_doi":"doi:10.18112/openneuro.ds004849.v1.0.0","datatypes":["eeg"],"demographics":{"subjects_count":1,"ages":[],"age_min":null,"age_max":null,"age_mean":null,"species":null,"sex_distribution":null,"handedness_distribution":null},"experimental_modalities":null,"external_links":{"source_url":"https://openneuro.org/datasets/ds004849","osf_url":null,"github_url":null,"paper_url":null},"funding":[],"ingestion_fingerprint":"d782f5e94b3cad521c4227b818fdbaa4ca301557806aa7af6a4fd22c6f4c06a0","license":"CC0","n_contributing_labs":null,"name":"STRONG","readme":"STRONG dataset\nThis is a placeholder dataset.","recording_modality":["eeg"],"senior_author":"Kevin King","sessions":[],"size_bytes":83056636,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["nback"],"timestamps":{"digested_at":"2026-04-22T12:27:03.330748+00:00","dataset_created_at":"2023-11-14T15:26:32.287Z","dataset_modified_at":"2023-11-14T15:33:15.000Z"},"total_files":1,"storage":{"backend":"s3","base":"s3://openneuro.org/ds004849","raw_key":"dataset_description.json","dep_keys":["CHANGES","README","participants.tsv","task-nback_events.json"]},"tagger_meta":{"config_hash":"3557b68bca409f28","metadata_hash":"4470af95d38a9eb7","model":"openai/gpt-5.2","tagged_at":"2026-04-07T09:32:40.872789+00:00"},"tags":{"pathology":["Unknown"],"modality":["Unknown"],"type":["Memory"],"confidence":{"pathology":0.4,"modality":0.4,"type":0.6},"reasoning":{"few_shot_analysis":"Closest few-shot by cognitive construct is the digit-span dataset (Healthy / Auditory / Memory), which maps a classic working-memory load task to Type=Memory. Another related few-shot is the DPX cognitive control task (Type=Attention), showing that tasks emphasizing control/monitoring can map to Attention. For n-back, labeling convention in the examples would typically treat it primarily as a working-memory paradigm (thus Memory), but the current dataset metadata is too sparse to be definitive about stimulus modality or any clinical population.","metadata_analysis":"The provided metadata is minimal and largely non-informative: (1) README explicitly states: \"This is a placeholder dataset.\" (2) The only task label given is: \"tasks\": [\"nback\"]. Additional context is limited to: \"Subjects: 1\". There is no description of stimuli (visual vs auditory), recruitment, or diagnosis/clinical grouping.","paper_abstract_analysis":"No useful paper information.","evidence_alignment_check":"Pathology: Metadata says nothing about diagnosis/recruitment (only \"Subjects: 1\" and placeholder README). Few-shot patterns cannot infer pathology; therefore Pathology=Unknown. (ALIGN: no conflict; metadata absent).\nModality: Metadata does not specify stimulus channel; only \"nback\" is given. Few-shot conventions require stimulus-based modality (visual/auditory/etc.), but no stimulus description is present; therefore Modality=Unknown. (ALIGN: no conflict; metadata absent).\nType: Metadata only provides the paradigm name \"nback\". Few-shot convention: working-memory paradigms (e.g., digit span) map to Type=Memory, while control-demanding paradigms can map to Attention. With only the paradigm name available, Memory is the best-supported conventional mapping for n-back, but weakly. (ALIGN: partial—metadata implies a WM task by name; few-shot suggests Memory for WM tasks).","decision_summary":"Top-2 candidates per category:\n- Pathology: (1) Unknown — supported by \"This is a placeholder dataset.\" and no diagnostic/recruitment text; (2) Healthy — possible but not stated. Winner: Unknown. Evidence alignment: metadata lacks required facts.\n- Modality: (1) Unknown — no stimulus description beyond \"nback\"; (2) Visual — common n-back implementation but not evidenced here. Winner: Unknown. Evidence alignment: metadata lacks required facts.\n- Type: (1) Memory — n-back is a standard working-memory load paradigm (inferred from task name \"nback\"), consistent with few-shot digit span mapping to Memory; (2) Attention — plausible alternative if framed as cognitive control/monitoring, but not described. Winner: Memory. Confidence is limited because there is only the task name and a placeholder README (\"This is a placeholder dataset.\") without task details."}},"nemar_citation_count":0,"computed_title":"STRONG","nchans_counts":[{"val":64,"count":1}],"sfreq_counts":[{"val":128.0,"count":1}],"stats_computed_at":"2026-04-22T23:16:00.308536+00:00","total_duration_s":1926.1796875,"canonical_name":null,"name_confidence":0.56,"name_meta":{"suggested_at":"2026-04-14T10:18:35.343Z","model":"openai/gpt-5.2 + openai/gpt-5.4-mini + deterministic_fallback"},"name_source":"canonical","author_year":"Johnson2023_STRONG"}}