{"success":true,"database":"eegdash","data":{"_id":"69d16e04897a7725c66f4c7c","dataset_id":"nm000147","associated_paper_doi":"10.1038/s41597-026-07215-1","authors":[],"bids_version":null,"contact_info":null,"contributing_labs":null,"data_processed":null,"dataset_doi":null,"datatypes":["beh","eeg"],"demographics":{"subjects_count":44,"ages":[],"age_min":null,"age_max":null,"age_mean":null,"species":null,"sex_distribution":null,"handedness_distribution":null},"experimental_modalities":null,"external_links":{"paper_url":"https://www.nature.com/articles/s41597-026-07215-1_reference.pdf"},"funding":[],"ingestion_fingerprint":"6637bb3d198928cf73adaa84a26d15a3fb95fbba8ebe0d4c04b21c7d758ab88a","license":null,"n_contributing_labs":null,"name":"The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 4 - NEMAR Dataset","readme":null,"recording_modality":["eeg"],"senior_author":null,"sessions":["01","02"],"size_bytes":null,"source":"nemar","storage":null,"study_design":null,"study_domain":null,"tasks":[".bidsignore",".gitignore","asrs_questionnaire","digit_span_scores","fix_bbbd","stim01","stim02","stim03","stim04","stim05","stim06","stimuli_feedback_meta","stimuli_questionnaire","stimuli_questionnaire_scores"],"timestamps":{"digested_at":"2026-04-30T14:08:41.760594+00:00","dataset_created_at":null,"dataset_modified_at":null},"total_files":7782,"computed_title":"The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 4 - NEMAR Dataset","nchans_counts":[{"val":8,"count":120}],"sfreq_counts":[{"val":250.0,"count":120}],"stats_computed_at":"2026-05-01T13:49:34.645160+00:00","total_duration_s":22601.487999999998,"tagger_meta":{"config_hash":"3557b68bca409f28","metadata_hash":"f486ac893176728f","model":"openai/gpt-5.2","tagged_at":"2026-04-07T09:32:40.872789+00:00"},"tags":{"pathology":["Healthy"],"modality":["Visual"],"type":["Learning"],"confidence":{"pathology":0.9,"modality":0.9,"type":0.8},"reasoning":{"few_shot_analysis":"Most similar few-shot conventions are those involving oddball-like target vs non-target ERP paradigms and task-goal framing. The Parkinson’s Cross-modal Oddball example shows that oddball/target-detection paradigms are typically labeled by stimulus modality (often Multisensory/Visual/Auditory depending on cues) and the Type reflects the study’s primary purpose (there: Clinical/Intervention due to PD focus). The Schizophrenia visual discrimination example shows that even when responses/choices exist, modality is set by stimulus channel (Visual) and Type is set by the core construct (Perception in that case). For this dataset, the paradigm is explicitly “p300” with Target/NonTarget, which matches the ERP/oddball convention; however, the dataset’s stated research goal emphasizes “BCI training” and “skill acquisition”, guiding Type toward Learning rather than pure Attention/Perception.","metadata_analysis":"Key quoted facts from the dataset metadata/readme:\n1) Population/health: \"Health status: healthy\" and also \"Tags\\n----\\n  Pathology: Healthy\".\n2) Paradigm/task: \"Paradigm: p300\" and \"Events: Target=1, NonTarget=2\".\n3) Stimulus modality: \"Stimulus modalities: visual\" plus \"Primary modality: visual\" and \"Stimulus type: flickering\".\n4) Study purpose: \"Study domain: BCI training, serious gaming, skill acquisition\".\n5) Learning emphasis in abstract: \"how users develop BCI control skills across repeated sessions\" and \"Online metrics... improved across sessions, confirming learning effects\".","paper_abstract_analysis":"The abstract embedded in the README is useful and reinforces the primary study purpose as training/skill acquisition: \"how users develop BCI control skills across repeated sessions\" and \"improved across sessions, confirming learning effects\". This supports choosing Type=Learning over a purely attentional ERP characterization.","evidence_alignment_check":"Pathology:\n- Metadata says: \"Health status: healthy\" / \"Pathology: Healthy\".\n- Few-shot pattern suggests: use explicit recruitment diagnosis when stated; otherwise Healthy.\n- Alignment: ALIGN (explicitly healthy).\n\nModality:\n- Metadata says: \"Stimulus modalities: visual\", \"Primary modality: visual\", and visual \"flickering\" targets.\n- Few-shot pattern suggests: modality is determined by stimulus channel (e.g., visual discrimination -> Visual; cross-modal oddball -> Multisensory).\n- Alignment: ALIGN (clearly Visual).\n\nType:\n- Metadata says (purpose): \"Study domain: BCI training, serious gaming, skill acquisition\"; abstract says \"develop BCI control skills\" and \"learning effects\".\n- Few-shot pattern suggests: target/non-target ERP paradigms often map to Attention/Perception unless another primary goal dominates (e.g., PD oddball mapped to Clinical/Intervention because pathology focus).\n- Alignment: PARTIAL—task mechanics resemble attention/oddball ERP, but metadata explicitly frames the study around training/skill acquisition. Per instruction priority, explicit metadata about study aim supports Learning as primary Type.","decision_summary":"Top-2 comparative selection:\n\n1) Pathology\n- Candidate A: Healthy\n  Evidence: \"Health status: healthy\"; \"Pathology: Healthy\"; participants are described as \"BCI experience: naive\" with no disorder mentioned.\n- Candidate B: Unknown\n  Evidence: would apply only if no recruitment health info were provided.\n- Decision: Healthy (metadata explicit). Alignment: aligned with few-shot conventions.\n\n2) Modality\n- Candidate A: Visual\n  Evidence: \"Stimulus modalities: visual\"; \"Primary modality: visual\"; \"Feedback type: visual\"; \"Stimulus type: flickering\".\n- Candidate B: Other\n  Evidence: could be considered if stimulus channel were ambiguous or mixed.\n- Decision: Visual (multiple explicit statements). Alignment: aligned with few-shot conventions.\n\n3) Type\n- Candidate A: Learning\n  Evidence: \"Study domain: BCI training, serious gaming, skill acquisition\"; abstract: \"develop BCI control skills across repeated sessions\"; \"improved across sessions, confirming learning effects\".\n- Candidate B: Attention\n  Evidence: \"Paradigm: p300\" with \"Target\" vs \"NonTarget\" is a classic attentional oddball/ERP setup.\n- Decision: Learning, because the dataset’s stated research purpose is skill acquisition/training across sessions, not primarily characterizing attention per se. Confidence reflects competition with Attention due to P300 oddball structure."}},"canonical_name":null,"name_confidence":0.62,"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":"RomaniBF2025","associated_paper_meta":{"channel":"web_search","confidence":"medium","author_overlap":0,"is_oa":true,"oa_status":"gold","source":"paper_resolver","method":"web_search","match_evidence":"name-match"}}}