{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a33e9","dataset_id":"ds005448","associated_paper_doi":null,"authors":["Jelsma S.B.","Zijlmans M.","Heijink I.B.","Hoefnagels F.W.A.","Raemakers M","Bourez-Swart M.D.","Otte W.M","van Blooijs D.","van Klink N.E.C."],"bids_version":"Brain Imaging Data Structure Specification v1.6.0","contact_info":["Epilab UMCU"],"contributing_labs":null,"data_processed":true,"dataset_doi":"doi:10.18112/openneuro.ds005448.v1.0.0","datatypes":["ieeg"],"demographics":{"subjects_count":13,"ages":[15,45,50,50,25,27,16,37,44,17,17,14,10],"age_min":10,"age_max":50,"age_mean":28.23076923076923,"species":null,"sex_distribution":{"f":8,"m":5},"handedness_distribution":null},"experimental_modalities":null,"external_links":{"source_url":"https://openneuro.org/datasets/ds005448","osf_url":null,"github_url":null,"paper_url":null},"funding":["EpilepsieNL 23-06","ERC starting grant #803880","MING foundation"],"ingestion_fingerprint":"9007b091336fe4701410087eef197778c22191cb7bf23271d7b2dffbe39b0525","license":"CC0","n_contributing_labs":null,"name":"STReEF","readme":"Dataset description\nThis dataset is part of a bigger dataset of intracranial EEG (iEEG)  called RESPect (Registry for Epilepsy Surgery Patients), a dataset recorded at the University Medical Center of Utrecht, the Netherlands.\nThis dataset consists of 13 patients with long-term recordings (5 patients recorded with electrocorticography and 8 patients recorded with stereo-encephalography. For a detailed description see Jelsma S.B. et al 2024, Structural and effective brain connectivity in focal epilepsy.\nThis data is organized according to the Brain Imaging Data Structure specification: A community-driven specification for organizing neurophysiology data along with its metadata. For more information on this data specification, see https://bids-specification.readthedocs.io/en/stable/\nEach patient has their own folder (e.g., `sub-STREEF01`) which contains the iEEG recordings of that patient, as well as the metadata to understand the raw data and event timing.\nIn long-term recordings, data that are recorded within one monitoring period are logically grouped in the same BIDS session and stored across runs indicating the day and time point of recording in the monitoring period. We use the optional run key-value pair to specify the day and the start time of the recording (e.g. run-021315, day 2 after implantation, which is day 1 of the monitoring period, at 13:15).\nThe task key-value pair in long-term iEEG recordings describes the patient´s state during the recording of this file. A specific task called “SPESclin“ is defined when the clinical SPES protocol has been performed.\nLicense\nThis dataset is made available under the Public Domain Dedication and License CC v1.0, whose full text can be found at\nhttps://creativecommons.org/publicdomain/zero/1.0/. We hope that all users will follow the ODC Attribution/Share-Alike Community Norms (http://www.opendatacommons.org/norms/odc-by-sa/). In particular, while not legally required, we hope that all users of the data will acknowledge by citing:\n1. Demuru M, van Blooijs D, Zweiphenning W, Hermes D, Leijten F, Zijlmans M, on behalf of the RESPect group. “A practical workflow for organizing clinical intraoperative and long-term iEEG data in BIDS“, published in NeuroInformatics in 2022\n2. Jelsma S.B. et al 2024, Structural and effective brain connectivity in focal epilepsy\nin any publications.\nCode available at: https://github.com/UMCU-EpiLAB/umcuEpi_CCEP_DTI.\nAcknowledgements\nWe thank the SEIN-UMCU RESPect database group (C.J.J. van Asch, L. van de Berg, S. Blok, M.D. Bourez, K.P.J. Braun, J.W. Dankbaar, C.H. Ferrier, T.A. Gebbink, P.H. Gosselaar, R. van Griethuysen, M.G.G. Hobbelink, F.W.A. Hoefnagels, N.E.C. van Klink, M.A. van ‘t Klooster, G.A.P. deKort, M.H.M. Mantione, A. Muhlebner, J.M. Ophorst, P.C. van Rijen, S.M.A. van der Salm, E.V. Schaft, M.M.J. van Schooneveld, H. Smeding, D. Sun, A. Velders, M.J.E. van Zandvoort, G.J.M. Zijlmans, E. Zuidhoek and J. Zwemmer) for their contributions and help in collecting the data.","recording_modality":["ieeg"],"senior_author":"van Klink N.E.C.","sessions":["1"],"size_bytes":48025611704,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["SPESclin"],"timestamps":{"digested_at":"2026-04-22T12:27:46.523524+00:00","dataset_created_at":"2024-09-03T06:27:56.217Z","dataset_modified_at":"2024-10-08T19:09:02.000Z"},"total_files":18,"storage":{"backend":"s3","base":"s3://openneuro.org/ds005448","raw_key":"dataset_description.json","dep_keys":["CHANGES","README","participants.json","participants.tsv"]},"tagger_meta":{"config_hash":"4a051be509a0e3d0","metadata_hash":"c26a514397d2c50e","model":"openai/gpt-5.2","tagged_at":"2026-01-20T17:55:53.270381+00:00"},"tags":{"pathology":["Epilepsy"],"modality":["Other"],"type":["Clinical/Intervention"],"confidence":{"pathology":0.85,"modality":0.75,"type":0.8},"reasoning":{"few_shot_analysis":"Most similar few-shot conventions: (1) 'Dataset of EEG recordings of pediatric patients with epilepsy...' is labeled Pathology=Epilepsy and Type=Clinical/Intervention; it sets the convention that explicitly epilepsy-recruited cohorts map to Epilepsy and typically Clinical/Intervention. (2) 'Intraoperative EEG dataset during medianus-tibialis stimulation...' is labeled Pathology=Surgery and Modality=Other, illustrating that clinically performed stimulation protocols are not mapped to standard sensory modalities (visual/auditory/tactile), but to Other. The current dataset is clinical iEEG from epilepsy surgery workup and includes a clinical stimulation protocol (SPESclin), so these examples guide Epilepsy + Clinical/Intervention, with Modality leaning Other due to electrical stimulation/clinical monitoring rather than sensory stimuli.","metadata_analysis":"Key metadata facts: (1) Clinical epilepsy cohort: \"RESPect (Registry for Epilepsy Surgery Patients)\" and \"This dataset consists of 13 patients\". (2) Explicit epilepsy focus: \"Structural and effective brain connectivity in focal epilepsy.\" (3) iEEG clinical monitoring and stimulation: \"long-term recordings\" and \"A specific task called 'SPESclin' is defined when the clinical SPES protocol has been performed.\" These indicate a clinical iEEG dataset in epilepsy patients (pre-surgical evaluation/registry) with clinical stimulation sessions rather than a canonical sensory task.","paper_abstract_analysis":"No useful paper information.","evidence_alignment_check":"Pathology — Metadata says epilepsy patients (\"Registry for Epilepsy Surgery Patients\"; \"connectivity in focal epilepsy\"). Few-shot pattern suggests using Epilepsy when epilepsy is explicit (pediatric epilepsy example). ALIGN.\nModality — Metadata describes long-term iEEG monitoring and a \"clinical SPES protocol\" (electrical stimulation), but does not describe auditory/visual/tactile stimulus presentation. Few-shot pattern suggests mapping clinical stimulation paradigms away from sensory modalities (SEP intraoperative example labeled Modality=Other). ALIGN.\nType — Metadata frames this as a clinical registry dataset and includes clinical protocols (\"Epilepsy Surgery Patients\"; \"clinical SPES protocol\"). Few-shot pattern: epilepsy clinical cohorts are labeled Type=Clinical/Intervention (pediatric epilepsy example). ALIGN.","decision_summary":"Top-2 candidates per category:\nPathology: (A) Epilepsy — supported by \"Registry for Epilepsy Surgery Patients\" and \"focal epilepsy\"; (B) Surgery — plausible because it is a surgery registry, but the explicit disease focus is epilepsy rather than generic surgical cohort. Final: Epilepsy. Confidence supported by 2+ explicit quotes.\nModality: (A) Other — supported by \"clinical SPES protocol\" (electrical brain stimulation) and long-term clinical monitoring without stated sensory stimuli; (B) Unknown — possible because the dataset may contain mixed states (including sleep/rest) but not explicitly described as a specific sensory modality. Final: Other.\nType: (A) Clinical/Intervention — supported by \"Epilepsy Surgery Patients\", \"clinical SPES protocol\", and registry/clinical workflow context; (B) Resting-state — possible for some long-term segments, but not the primary described purpose. Final: Clinical/Intervention."}},"computed_title":"STReEF","nchans_counts":[{"val":133,"count":14},{"val":109,"count":2},{"val":95,"count":1},{"val":161,"count":1}],"sfreq_counts":[{"val":2048.0,"count":18}],"stats_computed_at":"2026-04-22T23:16:00.309619+00:00","total_duration_s":44576.125,"canonical_name":null,"name_confidence":0.92,"name_meta":{"suggested_at":"2026-04-14T10:18:35.343Z","model":"openai/gpt-5.2 + openai/gpt-5.4-mini + deterministic_fallback"},"name_source":"canonical","author_year":"Jelsma2024"}}