{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a338b","dataset_id":"ds004819","associated_paper_doi":"10.1101/2022.11.08.515705","authors":["Keundong Lee","Angelique C. Paulk","Yun Goo Ro","Daniel R. Cleary","Karen J. Tonsfeldt","Yoav Kfir","John Pezaris","Youngbin Tchoe","Jihwan Lee","Andrew M. Bourhis","Ritwik Vatsyayan","Joel R. Martin","Samantha M. Russman","Jimmy C. Yang","Amy Baohan","R. Mark Richardson","Ziv M. Williams","Shelley I. Fried","Hoi Sang U","Ahmed M. Raslan","Sharona Ben-Haim","Eric Halgren","Sydney S. Cash","Shadi. A. Dayeh"],"bids_version":"1.7.0","contact_info":null,"contributing_labs":null,"data_processed":true,"dataset_doi":"doi:10.18112/openneuro.ds004819.v1.0.0","datatypes":["ieeg"],"demographics":{"subjects_count":1,"ages":[11,14],"age_min":11,"age_max":14,"age_mean":12.5,"species":null,"sex_distribution":{"f":1,"m":6},"handedness_distribution":null},"experimental_modalities":null,"external_links":{"paper_url":"https://doi.org/10.1101/2022.11.08.515705"},"funding":["NIH UG3NS123723-01","NIH R01NS123655-01","NIH NBIB DP2-EB029757","NIH MH120886-01","NSF 1728497","NSF 1351980","NSF DGE-1650112","NIH K24-NS088568","NIH R01-NS062092","Tiny Blue Dot Foundation","NIH NS047101","NIH K99 NS119291","MGH - ECOR"],"ingestion_fingerprint":"2b4c7c295d42b86ce65b3b4bc527f9b640268cfcb69ea083001c7765e4be63fc","license":"CC0","n_contributing_labs":null,"name":"Flexible, Scalable, High Channel Count Stereo-Electrode for Recording in the Human Brain","readme":"This project contains the data for the publication Lee et al, \"Flexible, Scalable, High Channel Count Stereo-Electrode for Recording in the Human Brain\". It contains the raw and preprocessed (epoched) intracranial EEG (iEEG) data files for multiple species to test novel high resolution micro-stereo-electrodes for recording neural activity in the brain. The data set involves the use of direct electrical stimulation to examine effects of stimulation in the brain.\nData are in the iEEG-BIDS format with binary files and channel maps included in the related derivatives folder.","recording_modality":["ieeg"],"senior_author":null,"sessions":["postimp"],"size_bytes":1456937503,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["BaselineandStimRecordingRAWEDF"],"timestamps":{"digested_at":"2026-05-31T16:16:02.789550+00:00","dataset_created_at":null,"dataset_modified_at":null},"total_files":8,"storage":{"backend":"s3","base":"s3://openneuro.org/ds004819","raw_key":"dataset_description.json","dep_keys":["CHANGES","README","participants.json","participants.tsv"]},"tagger_meta":{"config_hash":"3557b68bca409f28","metadata_hash":"24777f43663b91c9","model":"openai/gpt-5.2","tagged_at":"2026-04-07T09:32:40.872789+00:00"},"tags":{"pathology":["Surgery"],"modality":["Other"],"type":["Clinical/Intervention"],"confidence":{"pathology":0.6,"modality":0.7,"type":0.8},"reasoning":{"few_shot_analysis":"Most similar few-shot convention is the Epilepsy HFO dataset (pediatric clinical EEG/iEEG context with biomarker/clinical aim) which is labeled Type=Clinical/Intervention rather than a cognitive construct (e.g., Attention/Memory). Here, likewise, the dataset is focused on intracranial recording technology and electrical stimulation effects, not a behavioral paradigm. In contrast to the Dementia and Resting-state healthy examples, this dataset includes active brain stimulation, pushing the Type toward Clinical/Intervention and Modality away from Resting State.","metadata_analysis":"Key facts from metadata/readme:\n1) Purpose/setting: \"raw and preprocessed (epoched) intracranial EEG (iEEG) data files\" and \"to test novel high resolution micro-stereo-electrodes for recording neural activity in the brain.\"\n2) Intervention: \"The data set involves the use of direct electrical stimulation to examine effects of stimulation in the brain.\"\n3) Task label suggests baseline + stimulation recording rather than a perceptual/cognitive task: task listed as \"BaselineandStimRecordingRAWEDF\".\n4) Participant context is pediatric but diagnosis is not stated: \"Age range: 11-14\".","paper_abstract_analysis":"No useful paper information.","evidence_alignment_check":"Pathology:\n- Metadata says: no explicit diagnosis/recruitment condition is stated; only \"intracranial EEG (iEEG)\" and brain stimulation context.\n- Few-shot pattern suggests: invasive recordings and stimulation commonly occur in neurosurgical/clinical cohorts (often epilepsy), and few-shot clinical datasets map to Clinical/Intervention types; however pathology label must follow explicit recruitment diagnosis.\n- Alignment: PARTIAL/UNCERTAIN. Because no explicit condition is given, we cannot label Epilepsy; the most defensible pathology from context is \"Surgery\" (invasive stereo-electrodes in the human brain), but this remains inference.\n\nModality:\n- Metadata says: \"direct electrical stimulation\" and baseline/stimulation recording task name.\n- Few-shot pattern suggests: when there is no external sensory stimulus (auditory/visual/tactile) and the manipulation is electrical stimulation, modality is best captured as non-standard input (Other) rather than Resting State.\n- Alignment: ALIGN.\n\nType:\n- Metadata says: \"test novel ... micro-stereo-electrodes\" and \"direct electrical stimulation to examine effects\".\n- Few-shot pattern suggests: datasets centered on clinical cohorts/biomarkers/interventions rather than cognitive tasks map to Type=\"Clinical/Intervention\".\n- Alignment: ALIGN.","decision_summary":"Top-2 candidates and selection:\n\nPathology:\n1) Surgery — Evidence: invasive context (\"intracranial EEG (iEEG)\", \"Stereo-Electrode for Recording in the Human Brain\") and intervention (\"direct electrical stimulation\"). This implies participants are undergoing implantation/surgical procedures even though diagnosis is not specified.\n2) Unknown — Evidence: metadata does not explicitly name a recruiting diagnosis (no mention of epilepsy, tumor, etc.).\nDecision: Surgery (winner by contextual clinical iEEG/stimulation setting, but acknowledged as inferred).\n\nModality:\n1) Other — Evidence: \"direct electrical stimulation\" is the primary input/manipulation; no auditory/visual/tactile stimulus described.\n2) Resting State — Evidence: task name includes \"Baseline\" but the dataset is not purely passive rest because stimulation is central.\nDecision: Other.\n\nType:\n1) Clinical/Intervention — Evidence: \"test novel ... stereo-electrodes\" and \"direct electrical stimulation to examine effects\" indicates an intervention/technology evaluation rather than cognitive construct.\n2) Other — Evidence: could be categorized as engineering/methods-focused rather than clinical science, but still fundamentally an intervention/stimulation dataset.\nDecision: Clinical/Intervention.\n\nConfidence justification (quotes/features):\n- Pathology lower confidence because no explicit diagnosis; relies on inference from iEEG/stereo-electrode + stimulation.\n- Modality moderate confidence from explicit \"direct electrical stimulation\" plus lack of sensory stimuli.\n- Type higher confidence from two explicit purpose/intervention statements (testing electrodes; stimulation effects)."}},"nemar_citation_count":1,"computed_title":"Flexible, Scalable, High Channel Count Stereo-Electrode for Recording in the Human Brain","nchans_counts":[{"val":64,"count":8}],"sfreq_counts":[{"val":30000.0,"count":8}],"stats_computed_at":"2026-05-31T19:34:32.599948+00:00","total_duration_s":null,"author_year":"Lee2023","canonical_name":null,"bad_channels_info":null,"acknowledgements":"We are grateful for the technical support from the nano3 cleanroom facilities at UCSD’s Qualcomm Institute where the depth electrode fabrication was conducted. This work was performed, in part, at the San Diego Nanotechnology Infrastructure (SDNI) of UCSD, a member of the National Nanotechnology Coordinated Infrastructure, which is supported by the NSF (grant ECCS1542148). We thank Yangling Chou, Aaron Tripp, Fausto Minidio, Daniel J. Soper, and Alexandra O’Donnell for their help in collecting the data. ","ethics_approvals":["All patients voluntarily participated after fully informed consent as monitored by the Partners Institutional Review Board covering Massachusetts General Hospital (MGH). Participants were informed that participation in the stimulation tests would not alter their clinical treatment in any way, and that they could withdraw at any time without jeopardizing their clinical care. All rodent and pig experiments were approved by the UCSD Institutional Animal Care and Use Committee (IACUC, protocol # S19030). For NHPs, all efforts were made to minimize discomfort, and the Institutional Animal Care and Use Committee at the Massachusetts General Hospital monitored care and approved all procedures. "],"how_to_acknowledge":"This project contains the data for the publication Lee et al, \"Flexible, Scalable, High Channel Count Stereo-Electrode for Recording in the Human Brain\". It contains the raw and preprocessed (epoched) intracranial EEG (iEEG) data files for multiple species to test novel high resolution micro-stereo-electrodes for recording neural activity in the brain. The data set involves the use of direct electrical stimulation to examine effects of stimulation in the brain. Contact: Shadi Dayeh (sdayeh@eng.ucsd.edu) or Angelique C. Paulk (apaulk@mgh.harvard.edu). If you use this data as a part of any publications, please use the following citation: Flexible, Scalable, High Channel Count Stereo-Electrode for Recording in the Human Brain. Keundong Lee, Angelique C. Paulk, Yun Goo Ro, Daniel R. Cleary, Karen J. Tonsfeldt, Yoav Kfir, John Pezaris, Youngbin Tchoe, Jihwan Lee, Andrew M. Bourhis, Ritwik Vatsyayan, Joel R. Martin, Samantha M. Russman, Jimmy C. Yang, Amy Baohan, R. Mark Richardson, Ziv M. Williams, Shelley I. Fried, Hoi Sang U, Ahmed M. Raslan, Sharona Ben-Haim, Eric Halgren, Sydney S. Cash, Shadi. A. Dayeh. bioRxiv 2022.11.08.515705; doi: https://doi.org/10.1101/2022.11.08.515705.","references_and_links":["Flexible, Scalable, High Channel Count Stereo-Electrode for Recording in the Human Brain. Keundong Lee, Angelique C. Paulk, Yun Goo Ro, Daniel R. Cleary, Karen J. Tonsfeldt, Yoav Kfir, John Pezaris, Youngbin Tchoe, Jihwan Lee, Andrew M. Bourhis, Ritwik Vatsyayan, Joel R. Martin, Samantha M. Russman, Jimmy C. Yang, Amy Baohan, R. Mark Richardson, Ziv M. Williams, Shelley I. Fried, Hoi Sang U, Ahmed M. Raslan, Sharona Ben-Haim, Eric Halgren, Sydney S. Cash, Shadi. A. Dayeh. bioRxiv 2022.11.08.515705; doi:https://doi.org/10.1101/2022.11.08.515705."],"associated_paper_meta":{"channel":"text/how_to_acknowledge","confidence":"high","author_overlap":21,"is_oa":true,"oa_status":"preprint","source":"paper_resolver"}}}