{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a340d","dataset_id":"ds005670","associated_paper_doi":null,"authors":["Prof. Pengfei Xu"],"bids_version":"1.10.0","contact_info":["CCN Beijing"],"contributing_labs":null,"data_processed":false,"dataset_doi":"doi:10.18112/openneuro.ds005670.v1.0.0","datatypes":["ieeg"],"demographics":{"subjects_count":2,"ages":[25,28],"age_min":25,"age_max":28,"age_mean":26.5,"species":null,"sex_distribution":{"f":1,"m":1},"handedness_distribution":null},"experimental_modalities":null,"external_links":{"source_url":"https://openneuro.org/datasets/ds005670","osf_url":null,"github_url":null,"paper_url":null},"funding":[],"ingestion_fingerprint":"8fedd1772d4600f6de09855b305c756907dce13a383bd472edf1b61f8aabfc88","license":"CC0","n_contributing_labs":null,"name":"SEEG Resting State Recording","readme":" Dataset description\n===================\nThis SEEG raw dataset includes resting state recordings for two patients with epilepsy.\nThe depth electrodes used in this dataset are Sinovation SDE-08 medical-grade stainless steel electrodes, with the following specifications:\n    Diameter: 0.8 mm\n    Contact length: 2 mm\n    Insulator length: 1.5 mm\n    Distance between the center of two contacts: 3.5 mm\n    Between 8 and 16 contacts on each electrode\n=======\nFor questions, please contact Pengfei Xu (pxu@bnu.edu.cn).","recording_modality":["ieeg"],"senior_author":"Prof. Pengfei Xu","sessions":[],"size_bytes":743242149,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["rest"],"timestamps":{"digested_at":"2026-04-22T12:28:40.695413+00:00","dataset_created_at":"2024-11-29T03:57:02.443Z","dataset_modified_at":"2024-11-29T05:57:42.000Z"},"total_files":2,"storage":{"backend":"s3","base":"s3://openneuro.org/ds005670","raw_key":"dataset_description.json","dep_keys":["CHANGES","README","participants.json","participants.tsv"]},"tagger_meta":{"config_hash":"4a051be509a0e3d0","metadata_hash":"867c4e7aeedb577c","model":"openai/gpt-5.2","tagged_at":"2026-01-20T18:34:24.411704+00:00"},"tags":{"pathology":["Epilepsy"],"modality":["Resting State"],"type":["Resting-state"],"confidence":{"pathology":0.8,"modality":0.8,"type":0.7},"reasoning":{"few_shot_analysis":"Most similar few-shot example: the pediatric epilepsy HFO dataset (Pathology=Epilepsy, Modality=Resting State, Type=Clinical/Intervention). It establishes the convention that when participants are explicitly recruited as epilepsy patients, Pathology should be labeled Epilepsy, and that sleep/rest-like recordings map to Resting State/Sleep modalities. However, unlike the HFO example (explicit biomarker/clinical detection aim), the current metadata only describes resting-state SEEG data collection without an explicit clinical intervention/biomarker objective, making a Resting-state Type more plausible here.","metadata_analysis":"Key facts from provided README: (1) population: \"two patients with epilepsy\" and \"This SEEG raw dataset includes ... two patients with epilepsy.\" (2) paradigm/state: \"includes resting state recordings\" / \"resting state recordings\". (3) acquisition context: \"This SEEG raw dataset\" and description of \"depth electrodes\" specifications, indicating intracranial EEG but not changing the requested labels beyond pathology/modality/type.","paper_abstract_analysis":"No useful paper information.","evidence_alignment_check":"Pathology: Metadata SAYS \"two patients with epilepsy\" (explicit recruitment/diagnosis). Few-shot pattern SUGGESTS labeling Epilepsy when epilepsy patients are recruited (aligns with the pediatric epilepsy example). ALIGN.\nModality: Metadata SAYS \"resting state recordings\". Few-shot pattern SUGGESTS Resting State modality for rest/sleep paradigms (aligns). ALIGN.\nType: Metadata SAYS only that it is \"resting state recordings\" with no explicit clinical endpoint (no mention of seizure localization, HFO detection, intervention, or treatment). Few-shot pattern (pediatric epilepsy HFO) might suggest Clinical/Intervention for epilepsy datasets, but that is tied to explicit biomarker/clinical analysis aims in that example. Here, the lack of explicit clinical-purpose wording makes Resting-state Type better supported. PARTIAL CONFLICT resolved in favor of metadata facts/absence-of-facts: choose Resting-state type because the stated purpose/paradigm is resting state rather than an intervention/clinical study description.","decision_summary":"Pathology top-2: (A) Epilepsy vs (B) Healthy. Epilepsy wins because metadata explicitly states \"two patients with epilepsy\". Confidence supported by explicit diagnosis statement.\nModality top-2: (A) Resting State vs (B) Unknown. Resting State wins because metadata explicitly states \"resting state recordings\". Confidence supported by direct quote.\nType top-2: (A) Resting-state vs (B) Clinical/Intervention. Resting-state wins because the only described paradigm is rest (\"resting state recordings\") and there is no explicit clinical/intervention or biomarker objective described (unlike the epilepsy HFO few-shot example)."}},"nemar_citation_count":0,"computed_title":"SEEG Resting State Recording","nchans_counts":[{"val":238,"count":1},{"val":186,"count":1}],"sfreq_counts":[{"val":2000.0,"count":2}],"stats_computed_at":"2026-04-22T23:16:00.310766+00:00","total_duration_s":873.0360000000001,"author_year":"Xu2024_SEEG_Resting_State","canonical_name":null}}