{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a347d","dataset_id":"ds007095","associated_paper_doi":null,"authors":["Chen Feng","Haoqi Ni","Zhoule Zhu","Hongjie Jiang","Zhe Zheng","Wenjie Ming","Shuang Wang","Kedi Xu","Junming Zhu"],"bids_version":"1.8.0","contact_info":["Haoqi Ni"],"contributing_labs":null,"data_processed":false,"dataset_doi":"doi:10.18112/openneuro.ds007095.v1.0.0","datatypes":["ieeg"],"demographics":{"subjects_count":8,"ages":[39,55,33,41,30,54,30,24],"age_min":24,"age_max":55,"age_mean":38.25,"species":null,"sex_distribution":{"m":4,"f":4},"handedness_distribution":null},"experimental_modalities":null,"external_links":{"source_url":"https://openneuro.org/datasets/ds007095","osf_url":null,"github_url":null,"paper_url":null},"funding":["National Science and Technology Major Project (2025ZD0215100)","Science and Technology Innovation 2030-Major Project (2021ZD0200404)","National Natural Science Foundation of China (Grant No. 82272112)","Outstanding Youth Program of Zhejiang Natural Science Foundation (LR23H180002)"],"ingestion_fingerprint":"83599043e6ac0793e83d808395ae1df37473589cab175e14e92ccbfae737c73f","license":"CC0","n_contributing_labs":null,"name":"RNS_Epilepsy-iBIDS","readme":"Dataset of long-term iEEG invasively recorded in epilepsy patients implanted with responsive neurostimulation system  (RNS)\n----------\nWe provided a long-term intracranial electroencephalography (iEEG) dataset of 8 epilepsy patients implanted with responsive neurostimulation (RNS) devices. The dataset was constituted by iEEG data recorded from bilateral epileptic lesion areas.\nEach recording contains 90 seconds of dual-channel iEEG around each stimulation, 60 seconds before the start of the stimulation, and about 30 seconds after the end of the stimulation. The stimulation markers are contained in the events.tsv files, including the onset and duration for each stimulus. The ieeg.json files contain the electrical stimulation parameters for the current session, which were set by the neurosurgeon during each regular clinical follow-up of epilepsy patients.\nThe iEEG data were saved in EDF format, stored as the Brain Imaging Data Structure (BIDS), and published on the OpenNeuro. The criterion for including patients in this dataset is to intracranially record the seizure events for more than six months. For each subject, one week is considered as a session, which includes all seizures within a day with high frequency seizure onset during that week.\nThe dataset can be used to evaluate the alterations of seizure onset pattern during the development of epilepsy, as well as the changes in iEEG characteristics after the electrical stimulation. We have technically validated the dataset through specific signal analysis, such as power spectral analysis, calculation of envelop length, and calculation of phase locking value.","recording_modality":["ieeg"],"senior_author":"Junming Zhu","sessions":["01","02","03","04","05","06","07","08","09","10","11","12","13","14","15","16","17","18","19","20","21","22","23","24","25","26","27","28","29","30","31","32","33","34","35","36","37","38","39","40","41","42","43","44","45","46","47","48","49","50","51","52","53","54","55","56","57","58","59","60","61","62","63","64","65","66","67","68"],"size_bytes":521941815,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["seizure"],"timestamps":{"digested_at":"2026-04-22T12:30:00.276581+00:00","dataset_created_at":"2025-12-16T02:23:16.155Z","dataset_modified_at":"2025-12-16T07:22:28.000Z"},"total_files":6019,"storage":{"backend":"s3","base":"s3://openneuro.org/ds007095","raw_key":"dataset_description.json","dep_keys":["CHANGES","README","participants.tsv"]},"tagger_meta":{"config_hash":"4a051be509a0e3d0","metadata_hash":"595673d3665d9ebc","model":"openai/gpt-5.2","tagged_at":"2026-01-20T19:17:26.452088+00:00"},"tags":{"pathology":["Epilepsy"],"modality":["Other"],"type":["Clinical/Intervention"],"confidence":{"pathology":0.9,"modality":0.8,"type":0.85},"reasoning":{"few_shot_analysis":"Most similar few-shot example by population is the dataset labeled Pathology=Epilepsy (\"Dataset of EEG recordings of pediatric patients with epilepsy...\"). That example shows the convention that when participants are explicitly recruited as epilepsy patients and the dataset centers clinical biomarkers/clinical evaluation, Type maps to Clinical/Intervention. A second convention match is the Surgery SEP example (intraoperative stimulation), where a non-sensory electrical stimulation paradigm leads to Modality being set to Other (i.e., not Auditory/Visual/Tactile/Motor). These style conventions guide assigning Epilepsy + Other modality + Clinical/Intervention type for an implanted neurostimulation iEEG dataset.","metadata_analysis":"Key facts stated in the README include:\n1) Clinical population: \"iEEG invasively recorded in epilepsy patients\" and \"dataset of 8 epilepsy patients implanted with responsive neurostimulation (RNS) devices\".\n2) Stimulation/intervention context: \"Each recording contains 90 seconds of dual-channel iEEG around each stimulation\" and \"The stimulation markers are contained in the events.tsv files\".\n3) Explicit clinical device parameterization: \"The ieeg.json files contain the electrical stimulation parameters... set by the neurosurgeon during each regular clinical follow-up\".\n4) Intended use is clinical/longitudinal evaluation: \"evaluate the alterations of seizure onset pattern\" and \"changes in iEEG characteristics after the electrical stimulation\".","paper_abstract_analysis":"No useful paper information.","evidence_alignment_check":"Pathology:\n- Metadata says: \"epilepsy patients\"; \"8 epilepsy patients implanted with... RNS\".\n- Few-shot suggests: epilepsy-recruited cohorts map to Pathology=Epilepsy.\n- Alignment: ALIGN.\n\nModality:\n- Metadata says: \"around each stimulation\"; \"electrical stimulation parameters\" (i.e., direct brain stimulation rather than sensory stimuli).\n- Few-shot suggests: stimulation paradigms without a standard sensory channel (e.g., intraoperative SEP/stimulation contexts) are labeled Modality=Other.\n- Alignment: ALIGN.\n\nType:\n- Metadata says: \"responsive neurostimulation (RNS)\"; parameters \"set by the neurosurgeon\"; dataset used to assess \"changes... after the electrical stimulation\".\n- Few-shot suggests: when the dataset focus is a clinical cohort and/or intervention/biomarker evaluation, label Type=Clinical/Intervention (as in the epilepsy HFO biomarker example).\n- Alignment: ALIGN.","decision_summary":"Top-2 candidates per category with head-to-head comparison:\n\nPathology:\n1) Epilepsy — Supported by explicit recruitment wording: \"epilepsy patients\"; \"8 epilepsy patients implanted with... RNS\".\n2) Unknown — Would apply only if diagnosis were not stated.\nWinner: Epilepsy (explicit diagnosis stated). Evidence alignment: ALIGN.\n\nModality:\n1) Other — Direct brain/electrical stimulation context: \"around each stimulation\"; \"electrical stimulation parameters\"; events mark stimulation rather than sensory stimuli.\n2) Resting State — Could be considered if there were no task and no stimulation, but stimulation is central here.\nWinner: Other (stimulation is the dominant 'input' and is not a standard sensory modality). Evidence alignment: ALIGN.\n\nType:\n1) Clinical/Intervention — Neurostimulation device and clinical follow-up focus: \"responsive neurostimulation (RNS)\"; \"set by the neurosurgeon\"; evaluate \"changes... after the electrical stimulation\".\n2) Clinical/Intervention runner-up could be Other — if interpreted as purely methodological signal validation, but the explicit goal is seizure-pattern and stimulation-effect evaluation in patients.\nWinner: Clinical/Intervention. Evidence alignment: ALIGN.\n\nConfidence justification (quotes/features): Pathology has multiple explicit mentions of epilepsy patients; Modality has multiple explicit mentions of stimulation and stimulation parameters; Type has multiple explicit mentions of neurostimulation, neurosurgeon-set parameters, and assessing changes after stimulation."}},"computed_title":"RNS_Epilepsy-iBIDS","nchans_counts":[{"val":2,"count":6019}],"sfreq_counts":[{"val":200.0,"count":6019}],"stats_computed_at":"2026-04-22T23:16:00.312264+00:00","total_duration_s":556547.0,"author_year":"Feng2025","canonical_name":null}}