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(in press).\nAuthors:\nKeisuke Hatano, Naoto Kuroda, Hiroshi Uda, Kazuki Sakakura, Michael J. Cools, Aimee F. Luat, Shin-Ichiro Osawa, Hitoshi Nemoto, Kazushi Ukishiro, Hidenori Endo, Nobukazu Nakasato, Yutaro Takayama, Keiya Iijima, Masaki Iwasaki, Eishi Asano\nFunding:\nNational Institutes of Health (NIH; NS064033 to E.A.);\nUehara Memorial Foundation Postdoctoral Fellowship (202441017 to K.H.; 20210301 to H.U.);\nJapan Society for the Promotion of Science (JP22J23281, JP22KJ0323, and 202560576 to N.K.; 202560628 to H.U.; JP19K09494 and 22K09296 to M.I.)","recording_modality":["ieeg"],"senior_author":null,"sessions":["01"],"size_bytes":34982366043,"source":"openneuro","storage":{"backend":"s3","base":"s3://openneuro.org/ds007119","raw_key":"dataset_description.json","dep_keys":["CHANGES","README.md","participants.json","participants.tsv"]},"study_design":null,"study_domain":null,"tasks":["sleep"],"timestamps":{"digested_at":"2026-05-31T16:27:41.278926+00:00","dataset_created_at":null,"dataset_modified_at":null},"total_files":106,"computed_title":"iEEG_comprehensive_HFA_model_part3","nchans_counts":[{"val":128,"count":12},{"val":124,"count":5},{"val":134,"count":4},{"val":102,"count":4},{"val":94,"count":4},{"val":86,"count":4},{"val":58,"count":4},{"val":78,"count":4},{"val":120,"count":4},{"val":118,"count":3},{"val":100,"count":3},{"val":110,"count":3},{"val":130,"count":2},{"val":136,"count":2},{"val":84,"count":2},{"val":74,"count":2},{"val":132,"count":2},{"val":72,"count":2},{"val":108,"count":2},{"val":112,"count":2},{"val":140,"count":2},{"val":34,"count":2},{"val":64,"count":2},{"val":148,"count":2},{"val":96,"count":2},{"val":54,"count":1},{"val":122,"count":1},{"val":28,"count":1},{"val":114,"count":1},{"val":70,"count":1},{"val":180,"count":1},{"val":144,"count":1},{"val":52,"count":1},{"val":142,"count":1},{"val":90,"count":1},{"val":6,"count":1},{"val":48,"count":1},{"val":146,"count":1},{"val":82,"count":1},{"val":152,"count":1},{"val":76,"count":1},{"val":104,"count":1},{"val":38,"count":1},{"val":46,"count":1},{"val":73,"count":1},{"val":116,"count":1},{"val":138,"count":1},{"val":88,"count":1},{"val":135,"count":1},{"val":126,"count":1},{"val":44,"count":1}],"sfreq_counts":[{"val":1000.0,"count":106}],"stats_computed_at":"2026-05-31T19:34:32.603315+00:00","total_duration_s":150390.0,"tagger_meta":{"model":"openai/gpt-4o","tagged_at":"2026-06-10T08:19:41Z","source":"eegdash-llm-tagger"},"tags":{"pathology":["Epilepsy"],"modality":["Resting State"],"type":["Other"],"confidence":{"pathology":0.8,"modality":0.7,"type":0.5},"reasoning":{"few_shot_analysis":"The dataset focuses on non-REM sleep iEEG recordings, similar to the 'Dataset of EEG recordings of pediatric patients with epilepsy' few-shot example, which deals with epilepsy. Both datasets involve EEG data and the study of epilepsy, providing guidance on labeling as 'Epilepsy'.","metadata_analysis":"The dataset is described as 'intracranial EEG data recorded during non-REM sleep' and mentions 'daily seizure' information, suggesting a connection to epilepsy. The age range provided is typical for a pediatric study, which often aligns with epilepsy research in children.","paper_abstract_analysis":"No useful paper abstract information is available since the cited paper is still in press.","evidence_alignment_check":"1. Pathology: The metadata specifies 'daily seizure' presence, indicating epilepsy; aligned with few-shot example pattern. 2. Modality: Metadata describes non-REM sleep recordings, supporting the Resting State label; alternative 'Sleep' is possible, but primary focus seems Resting State during sleep. 3. Type: No intervention or clinical study details provided that specify Clinical/Intervention; instead, data is likely for analysis or examination, suggesting Perception analysis; however, evidence is weak for 'Perception'.","decision_summary":"Pathology's top candidate label is 'Epilepsy', due to 'daily seizure' presence mentioned. Modality's top candidate is 'Resting State', aligned with the non-REM sleep description. The type is uncertain but leans toward 'Other' due to lack of detailed task or clinical intervention specifics."}},"canonical_name":null,"name_confidence":0.43,"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":"Hatano2025_part3","bad_channels_info":null,"ethics_approvals":["IRBs of Wayne State University, Tohoku University, and National Center of Neurology and Psychiatry"],"how_to_acknowledge":"N/A","references_and_links":["","",""],"associated_paper_meta":{"channel":"search","confidence":"high","author_overlap":15,"is_oa":true,"oa_status":"green","source":"paper_resolver"}}}