{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a3350","dataset_id":"ds004473","associated_paper_doi":null,"authors":["Alexander P. Rockhill","Alessandra Mantovani","Brittany Stedelin","Admed M. Raslan","Nicole C. Swann"],"bids_version":"1.9.2","contact_info":["Alexander Rockhill"],"contributing_labs":null,"data_processed":true,"dataset_doi":"doi:10.18112/openneuro.ds004473.v1.0.1","datatypes":["ieeg"],"demographics":{"subjects_count":8,"ages":[44,47,33,31,39,31,30,26],"age_min":26,"age_max":47,"age_mean":35.125,"species":null,"sex_distribution":{"m":4,"f":4},"handedness_distribution":{"r":6,"l":2}},"experimental_modalities":null,"external_links":{"source_url":"https://openneuro.org/datasets/ds004473","osf_url":null,"github_url":null,"paper_url":null},"funding":[],"ingestion_fingerprint":"0d2120f3cf74dd63af08fae5bcfff3c5f6e93e146261a3d29166f41f9519fdf4","license":"CC0","n_contributing_labs":null,"name":"sEEG Forced Two-Choice Task","readme":"Welcome to our dataset! Here we present stereoelectroencephalography data from a forced two-choice response task collected in the epilepsy monitoring unit at Oregon Health & Science University. The data was analyzed in collaboration with the University of Oregon. The accompanying paper the first reference below.\nReferences\n----------\nRockhill, A. P., Mantovani, A., Stedelin, B., Nerison, C. S., Raslan, A. M., & Swann, N. C. (2022). Stereo-EEG recordings extend known distributions of canonical movement-related oscillations. Journal of Neural Engineering. https://doi.org/10.1088/1741-2552/acae0a\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\nHoldgraf, C., Appelhoff, S., Bickel, S., Bouchard, K., D'Ambrosio, S., David, O., … Hermes, D. (2019). iEEG-BIDS, extending the Brain Imaging Data Structure specification to human intracranial electrophysiology. Scientific Data, 6, 102. https://doi.org/10.1038/s41597-019-0105-7","recording_modality":["ieeg"],"senior_author":"Nicole C. Swann","sessions":[],"size_bytes":6767566336,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["SlowFast"],"timestamps":{"digested_at":"2026-04-22T12:26:40.210223+00:00","dataset_created_at":"2023-02-07T22:05:05.338Z","dataset_modified_at":"2023-02-09T20:17:20.000Z"},"total_files":8,"storage":{"backend":"s3","base":"s3://openneuro.org/ds004473","raw_key":"dataset_description.json","dep_keys":["CHANGES","README","participants.json","participants.tsv","task-SlowFast_beh.json"]},"tagger_meta":{"config_hash":"3557b68bca409f28","metadata_hash":"35b2803bb93301f4","model":"openai/gpt-5.2","tagged_at":"2026-04-07T09:32:40.872789+00:00"},"tags":{"pathology":["Epilepsy"],"modality":["Visual"],"type":["Motor"],"confidence":{"pathology":0.8,"modality":0.6,"type":0.8},"reasoning":{"few_shot_analysis":"Most similar few-shot examples by convention:\n- Epilepsy resting/sleep example (\"Dataset of EEG recordings of pediatric patients with epilepsy...\") shows that when the dataset explicitly targets epilepsy patients, Pathology is labeled \"Epilepsy\".\n- Motor task example (\"EEG Motor Movement/Imagery Dataset\") demonstrates the catalog convention that paradigms centered on movement execution/imagery are labeled Type=\"Motor\" (even when the cue is a screen target). This guides assigning Type=\"Motor\" here given the accompanying paper’s stated focus on movement-related oscillations.\nNo few-shot example directly matches sEEG/iEEG forced-choice paradigms for Modality; thus modality must rely on metadata/inference.","metadata_analysis":"Key metadata facts:\n- Population/setting: \"stereoelectroencephalography data ... collected in the epilepsy monitoring unit at Oregon Health & Science University\".\n- Task: \"forced two-choice response task\" (task name listed as \"SlowFast\").\n- Study focus (from cited paper title): \"Stereo-EEG recordings extend known distributions of canonical movement-related oscillations.\"","paper_abstract_analysis":"No useful paper information. (Only citations were provided; no abstract text included in the metadata.)","evidence_alignment_check":"Pathology:\n- Metadata says: \"collected in the epilepsy monitoring unit\" (strongly indicates participants are epilepsy monitoring patients).\n- Few-shot suggests: Epilepsy example uses explicit epilepsy patient recruitment → label \"Epilepsy\".\n- Alignment: ALIGN (metadata and few-shot convention both support Epilepsy).\n\nModality:\n- Metadata says: \"forced two-choice response task\" and task name \"SlowFast\"; it does NOT explicitly state stimulus channel (e.g., visual/auditory cues).\n- Few-shot suggests: Motor paradigms are often cued visually (as in the motor movement/imagery example), but that is a convention/inference rather than an explicit fact here.\n- Alignment: PARTIAL/UNCLEAR (insufficient explicit stimulus description; any assignment is inferential).\n\nType:\n- Metadata says: cited paper focuses on \"canonical movement-related oscillations\" and the dataset is a \"forced two-choice response task\".\n- Few-shot suggests: Movement-focused paradigms → Type=\"Motor\".\n- Alignment: ALIGN (movement-related oscillations + response task fits Motor construct).","decision_summary":"Top-2 comparative selection:\n\n1) Pathology\n- Candidate A: Epilepsy\n  Evidence: \"collected in the epilepsy monitoring unit\"; sEEG in an EMU is typically performed for epilepsy evaluation.\n- Candidate B: Other\n  Evidence: Could in principle include other neurosurgical monitoring indications, but none are stated.\nHead-to-head: Epilepsy wins because the metadata explicitly places data collection in an epilepsy monitoring unit (clear recruitment context).\nConfidence basis: 1 strong explicit quote + strong alignment with epilepsy few-shot labeling convention.\n\n2) Modality\n- Candidate A: Visual\n  Evidence: Forced two-choice tasks are commonly visually cued; also the motor imagery/movement few-shot uses screen targets (visual cueing) as the dominant input channel.\n- Candidate B: Unknown\n  Evidence: No explicit metadata describing whether cues are visual vs auditory vs other.\nHead-to-head: Visual narrowly selected as the most likely dominant cue channel for a forced-choice task, but this is not directly stated.\nConfidence basis: inference only; no direct quotes about stimulus modality.\n\n3) Type\n- Candidate A: Motor\n  Evidence: cited paper title: \"canonical movement-related oscillations\"; task is a \"forced two-choice response\" (movement execution is central).\n- Candidate B: Decision-making\n  Evidence: \"forced two-choice\" could be framed as decision-making, but the stated research focus is movement-related oscillations rather than value/policy/choice behavior.\nHead-to-head: Motor wins because the explicit study focus is movement-related physiology.\nConfidence basis: 2 explicit metadata cues (motor-focused paper title + response task description) + strong few-shot analog for Motor labeling."}},"nemar_citation_count":1,"computed_title":"sEEG Forced Two-Choice Task","nchans_counts":[{"val":129,"count":8}],"sfreq_counts":[{"val":999.4121105232217,"count":8}],"stats_computed_at":"2026-04-22T23:16:00.307665+00:00","total_duration_s":25147.575995294115,"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":"Rockhill2023"}}