{"success":true,"database":"eegdash","data":{"_id":"69a33a3b897a7725c66f3ee5","dataset_id":"ds007096","associated_paper_doi":null,"authors":["Couperus, J.W.","Bukach, C.M.","Reed,C.L."],"bids_version":"1.8.0","contact_info":["Jane Couperus"],"contributing_labs":null,"data_processed":false,"dataset_doi":"doi:10.18112/openneuro.ds007096.v1.0.0","datatypes":["eeg"],"demographics":{"subjects_count":292,"ages":[22,19,19,20,18,19,18,20,18,19,19,19,19,19,18,18,18,19,21,18,18,19,19,19,20,18,18,19,18,21,19,22,19,20,18,20,18,20,20,19,19,19,18,21,20,19,19,18,19,19,18,20,21,22,18,18,23,19,19,18,18,21,18,20,18,18,18,18,18,18,20,18,19,18,18,18,19,18,18,18,19,19,19,20,19,22,18,21,18,18,19,18,19,19,30,18,21,20,18,19,18,20,22,20,18,18,18,18,19,18,18,18,19,22,21,19,20,19,18,21,19,19,24,21,18,20,20,20,19,20,20,20,21,22,19,22,22,19,22,18,18,19,20,19,21,20,19,20,19,19,19,21,19,26,19,22,33,20,20,21,19,19,18,19,20,19,22,20,18,18,18,21,19,21,21,18,22,19,24,21,21,19,18,18,19,20,20,19,22,19,22,21,21,21,21,20,19,23,20,21,20,23,21,19,19,20,21,21,19,19,21,19,18,20,21,19,18,19,19,19,18,20,20,19,18,19,22,19,19,20,19,21,21,19,20,18,18,19,19,18,21,21,21,18,18,21,18,18,19,21,21,18,20,19,20,19,19,20,21,18,20,19,20,20,19,20,20,18,21,21,20,19,19,21,19,21,21,18,21,20,23,19,23,21,21,19,19,19,18,18,22,20],"age_min":18,"age_max":33,"age_mean":19.616438356164384,"species":null,"sex_distribution":{"o":292},"handedness_distribution":null},"experimental_modalities":null,"external_links":{"source_url":"https://openneuro.org/datasets/ds007096","osf_url":null,"github_url":null,"paper_url":null},"funding":[],"ingestion_fingerprint":"3d223b014acaec01fd97c43de4407e3374ab5239538f3c6507c3e915c6c42cee","license":"CC0","n_contributing_labs":null,"name":"PURSUE N170 Face Perception","readme":"# README\nFace Perception Task from the PURSUE project (pursureerp.com). Data collected from participants at 3 different primarily undergraduate academic institutions (Southern California, Massachusetts, and Virginia) in 2017 and 2018. The task design can be found in the publication by Kappenman et al.(2021). ERP CORE: An open resource for human event-related potential research. NeuroImage, 225, 117465. Details of task are found in the supplementary materials.\nRace Key:\n    \"Levels\": {\n      \"x1\": \"White\",\n      \"x2\": \"Black/African American\",\n      \"x3\": \"Native American\",\n      \"x4\": \"Asian\",\n      \"x5\": \"Pacific Islander\",\n      \"x6\": \"Hispanic/Latino\",\n      \"x7\": \"Other\",\n      \"x8\": \"Prefer not to respond\",\n      \"x9\": \"Chose more than one response\",\n      \"\" :  \"empty\"\n      }                                                                                                                                                                                                                                                                                                                                                                                                                                                               \u0000\u0000","recording_modality":["eeg"],"senior_author":"Reed,C.L.","sessions":[],"size_bytes":12503279073,"source":"openneuro","storage":{"backend":"s3","base":"s3://openneuro.org/ds007096","raw_key":"dataset_description.json","dep_keys":["CHANGES","README","participants.json","participants.tsv","task-FacePerception_events.json"]},"study_design":null,"study_domain":null,"tasks":["FacePerception"],"timestamps":{"digested_at":"2026-04-22T12:30:00.402052+00:00","dataset_created_at":"2025-12-16T03:37:15.692Z","dataset_modified_at":"2025-12-16T20:23:25.000Z"},"total_files":292,"computed_title":"PURSUE N170 Face Perception","nchans_counts":[{"val":32,"count":292}],"sfreq_counts":[{"val":500.0,"count":292}],"stats_computed_at":"2026-04-22T23:16:00.312529+00:00","total_duration_s":186325.206,"tagger_meta":{"config_hash":"3557b68bca409f28","metadata_hash":"55056c8370867a2e","model":"openai/gpt-5.2","tagged_at":"2026-04-07T09:32:40.872789+00:00"},"tags":{"pathology":["Healthy"],"modality":["Visual"],"type":["Perception"],"confidence":{"pathology":0.6,"modality":0.8,"type":0.8},"reasoning":{"few_shot_analysis":"Most similar few-shot convention is the visual discrimination ERP-style dataset (Meta-rdk), labeled Modality=Visual and Type=Perception based on explicit \"visual discrimination task\" language. Although that example involves schizophrenia patients, it demonstrates the convention that a visually presented stimulus discrimination/recognition paradigm maps to Visual + Perception. The current dataset is explicitly a face perception/N170 ERP task, which follows the same Visual + Perception mapping (but with a healthy/typical undergraduate sample rather than a clinical cohort).","metadata_analysis":"Key population/task facts from metadata: (1) Title explicitly indicates the paradigm: \"PURSUE N170 Face Perception\". (2) README states: \"Face Perception Task from the PURSUE project\". (3) Sampling context suggests a non-clinical undergraduate cohort: \"participants at 3 different primarily undergraduate academic institutions\" and participants are \"Age range: 18-33\". No diagnosis or clinical recruitment criteria are mentioned anywhere in the provided metadata.","paper_abstract_analysis":"No useful paper information.","evidence_alignment_check":"Pathology: Metadata says non-clinical recruitment context (\"primarily undergraduate academic institutions\") and provides only demographics (\"Age range: 18-33\") with no disorder named; few-shot patterns show that when a disorder is explicitly named (e.g., \"Parkinsons disease\", \"schizophrenia spectrum disorder\"), Pathology is set to that disorder. Here there is no such clinical fact, so this aligns with labeling as Healthy.\n\nModality: Metadata says \"Face Perception Task\" and \"N170 Face Perception\"; few-shot convention maps stimulus-driven visual paradigms to Modality=Visual. Aligns.\n\nType: Metadata says \"Face Perception\" and the ERP component N170 is a classic face-processing/perceptual ERP; few-shot convention maps sensory perception/discrimination tasks to Type=Perception (not Decision-making/Motor/etc.). Aligns.","decision_summary":"Top-2 candidates with head-to-head selection:\n\nPathology:\n- Healthy: Supported by non-clinical context \"primarily undergraduate academic institutions\" and absence of any stated diagnosis; demographics only (\"Age range: 18-33\").\n- Unknown: Possible because metadata does not explicitly say \"healthy\"/\"controls\".\nWinner: Healthy (stronger because recruitment context is typical undergraduate research and no clinical condition is mentioned).\nConfidence basis: inference from 2 metadata cues (undergraduate institutions; no disorder mentioned) but no explicit \"healthy\" statement.\n\nModality:\n- Visual: Supported by \"N170 Face Perception\" and \"Face Perception Task\" (faces are visual stimuli).\n- Other: Only if faces were non-visual (not suggested anywhere).\nWinner: Visual.\nConfidence basis: 2+ explicit task/title quotes indicating face perception.\n\nType:\n- Perception: Supported by \"Face Perception\" / N170 ERP focus (perceptual face processing).\n- Attention: Possible alternative because N170 tasks can require attention to stimuli, but primary construct stated is perception.\nWinner: Perception.\nConfidence basis: explicit naming of face perception paradigm and canonical N170 association with perceptual processing."}},"canonical_name":null,"name_confidence":0.78,"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":"Couperus2025_PURSUE_N170_Face"}}