{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a32fb","dataset_id":"ds003848","associated_paper_doi":null,"authors":["van Blooijs D.","Demuru M.","Zweiphenning W","Hermes D.","Leijten F.","Zijlmans M."],"bids_version":"Brain Imaging Data Structure Specification v1.6.0","contact_info":["Epilab UMCU"],"contributing_labs":null,"data_processed":true,"dataset_doi":"10.18112/openneuro.ds003848.v1.0.3","datatypes":["ieeg"],"demographics":{"subjects_count":6,"ages":[18,14,15,45,46,14],"age_min":14,"age_max":46,"age_mean":25.333333333333332,"species":null,"sex_distribution":{"m":4,"f":2},"handedness_distribution":null},"experimental_modalities":null,"external_links":{"source_url":"https://openneuro.org/datasets/ds003848","osf_url":null,"github_url":null,"paper_url":null},"funding":["Epi-Sign Project","Alexandre Suerman Stipendium 2015","EpilepsieNL #17-07"],"ingestion_fingerprint":"a43ed4c6fc200de850d94ee445cdcd03b4813f6ccc3016a31246a5b356f9fc27","license":"CC0","n_contributing_labs":null,"name":"Dataset Clinical Epilepsy iEEG to BIDS - RESPect_longterm_iEEG","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.\nIt consists of 12 patients: six patients recorded intraoperatively using electrocorticography (acute ECoG), six patients with long-term recordings (3 patients recorded with ECoG and 3 patients recorded with stereo-encephalography SEEG). For a detailed description see 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“€, submitted to NeuroInformatics in 2020.\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-RESP0280`) which contains the iEEG recordings data for that patient, as well as the metadata needed to understand the raw data and event timing.\nTwo different implementation of the BIDS structure were done according to the different type of recordings (i.e. intraoperative or long-term)\nIntraoperative ECoG\nSurgery with intraoperative ECoG is composed of three main situations that can be logically grouped into BIDS sessions:\n* Pre-resection sessions, consisting of all recordings (with different configurations of the grid and strips/depth) carried out before the surgeon has started the planned resection.\n* Intermediate sessions, consisting of all subsequent recordings performed before any iterative extension of the resection area.\n* Post-resection sessions, consisting of all the recordings performed after the last resection.\nEach situation is labelled with an increasing number starting from 1, indicative of the period in time respective to the surgical resection and a consecutive letter (starting from A) indicative of the position of the grid and strip/depth for a given session.\nAs an example see patient RESP0280 who had 4 sessions recorded: two pre-resection sessions, one intermediate sessions and one post-resection session. The first session is SITUATION1A consisting of the first recording, then the grid was moved to another position, resulting in SITUATION1B. After that, the surgeon resected part of the brain and then there was another recording(SITUATION2A). Finally the surgeon applied a resection for the last time and the recording after that was defined as SITUATION3A.\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.\nIf extra electrodes were added/removed during this period, the session was divided into different sessions (e.g. ses-1A and ses-1b).\nWe 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. Different tasks have been defined, such as “rest“€ when a patient is awake but not doing a specific task, “sleep“€ when a patient is sleeping the majority of the file, or “SPESclin“€ when the clinical SPES protocol has been performed in this file. Other task definitions can be found in the annotation syntax (https://github.com/UMCU-EpiLAB/umcuEpi_longterm_ieeg_respect_bids/master/manuals/IFU_annotatingtrc_ECoG).\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/.\nWe hope that all users will follow the ODC Attribution/Share-Alike Community Norms (http://www.opendatacommons.org/norms/odc-by-sa/);\nin particular, while not legally required, we hope that all users of the data will acknowledge by citing\nDemuru 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“€, submitted to NeuroInformatics in 2020, in any publications.\nCode available at: https://github.com/UMCU-EpiLAB.\nAcknowledgements\nWe would like to thank the patients for providing their data for this dataset, the RESPect team of University Medical Center of Utrecht, for the acquisition of the dataset.\nPlease cite 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“€, submitted to NeuroInformatics in 2020, in any publications.","recording_modality":["ieeg"],"senior_author":"Zijlmans M.","sessions":["1"],"size_bytes":69773848040,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["CHOCS1","Rest","SPESclin","Sleep","slawtrans","sleep"],"timestamps":{"digested_at":"2026-04-22T12:25:44.838964+00:00","dataset_created_at":"2021-10-21T15:17:12.430Z","dataset_modified_at":"2021-10-26T01:07:53.000Z"},"total_files":22,"storage":{"backend":"s3","base":"s3://openneuro.org/ds003848","raw_key":"dataset_description.json","dep_keys":["CHANGES","README","participants.json","participants.tsv"]},"tagger_meta":{"config_hash":"4a051be509a0e3d0","metadata_hash":"679b0f5d6722a0a6","model":"openai/gpt-5.2","tagged_at":"2026-01-20T10:21:27.710711+00:00"},"tags":{"pathology":["Epilepsy"],"modality":["Other"],"type":["Clinical/Intervention"],"confidence":{"pathology":0.85,"modality":0.65,"type":0.8},"reasoning":{"few_shot_analysis":"Most similar few-shot convention is the pediatric epilepsy HFO dataset (Epilepsy + Resting State + Clinical/Intervention): it labels a clinically recruited epilepsy cohort and a clinically oriented biomarker/clinical workflow purpose as Clinical/Intervention rather than a basic cognitive construct. Another relevant convention is the intraoperative SEP dataset labeled Surgery + Other + Other, showing that intraoperative/operating-room recordings with non-standard sensory stimulation can map to Modality=Other.","metadata_analysis":"Key population/task facts from the README: (1) Clinical cohort: \"RESPect (Registry for Epilepsy Surgery Patients)\" and \"It consists of 12 patients\". (2) Recording/clinical context: \"six patients recorded intraoperatively using electrocorticography (acute ECoG)\" and \"six patients with long-term recordings ... with ECoG ... and ... stereo-encephalography SEEG\". (3) Tasks/states are clinical/monitoring-oriented rather than a single sensory paradigm: \"Different tasks have been defined, such as 'rest' ... 'sleep' ... or 'SPESclin' when the clinical SPES protocol has been performed\". (4) Intervention/surgical structure: sessions are defined by resection timing, e.g., \"Pre-resection... Intermediate... Post-resection\" and recordings \"before the surgeon has started the planned resection\" / \"after the last resection.\"","paper_abstract_analysis":"No useful paper information.","evidence_alignment_check":"Pathology: Metadata says epilepsy surgery patients (\"Registry for Epilepsy Surgery Patients\"), which directly supports Epilepsy as the recruited condition. Few-shot pattern: epilepsy clinical datasets are labeled Epilepsy (and often Clinical/Intervention). ALIGN.\nModality: Metadata says tasks include patient states and a clinical stimulation protocol (\"rest\", \"sleep\", \"SPESclin\"), without a dominant external sensory stimulus stream (auditory/visual/tactile). Few-shot pattern: intraoperative/clinical stimulation contexts often use Modality=Other (see SEP intraoperative example). ALIGN (leans to Other).\nType: Metadata emphasizes clinical registry/workflow and surgical/intraoperative organization (resection phases; intraoperative ECoG; long-term monitoring). Few-shot pattern: clinically recruited disorder cohorts with clinical protocols are labeled Clinical/Intervention rather than Attention/Memory/etc. ALIGN.","decision_summary":"Pathology top-2: (1) Epilepsy — supported by \"Registry for Epilepsy Surgery Patients\" and the iEEG context of epilepsy surgery evaluation; (2) Surgery — plausible because recordings are \"intraoperatively\" and organized around resection, but surgery is a procedure context while the recruited disease is epilepsy. Final: Epilepsy. Confidence 0.85 (multiple explicit clinical-population mentions).\nModality top-2: (1) Other — supported by mixed/clinical states and protocols including \"SPESclin\" plus intraoperative/monitoring recordings, with no single sensory stimulus modality; (2) Resting State — plausible because tasks include \"rest\" and \"sleep\". Final: Other, because dataset is not primarily a standardized resting-state paradigm and includes clinical stimulation/surgery contexts. Confidence 0.65 (explicit task/state variety but not enough detail to be fully certain).\nType top-2: (1) Clinical/Intervention — supported by registry nature, intraoperative recordings, and organization around surgical resection; (2) Other — possible if interpreted as purely data-format/workflow resource. Final: Clinical/Intervention because the dataset is explicitly a clinical epilepsy-surgery registry/workflow dataset. Confidence 0.8 (clear clinical framing with multiple quotes)."}},"nemar_citation_count":1,"computed_title":"Dataset Clinical Epilepsy iEEG to BIDS - RESPect_longterm_iEEG","nchans_counts":[{"val":133,"count":18},{"val":68,"count":4}],"sfreq_counts":[{"val":2048.0,"count":21},{"val":512.0,"count":1}],"stats_computed_at":"2026-04-22T23:16:00.306562+00:00","total_duration_s":72992.59375,"author_year":"Blooijs2021","canonical_name":null,"name_source":"canonical"}}