{"dataset":{"id":"59029","dataset_id":"on004819","name":"Flexible, Scalable, High Channel Count Stereo-Electrode for Recording in the Human Brain","description":"This dataset contains intracranial EEG (iEEG) recordings from human patients, rodents, pigs, and non-human primates acquired using novel flexible, scalable, high-resolution micro-stereo-electrodes. The study evaluates the performance of these custom-fabricated depth electrodes for neural recording and includes direct electrical stimulation experiments to assess stimulation effects on brain activity. Raw and preprocessed epoched data are provided in iEEG-BIDS format with accompanying channel maps and derivatives.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on004819","concept_doi":"10.82901/nemar.on004819","latest_version_doi":"10.82901/nemar.on004819.v1.0.0","created_at":"2026-06-25 16:01:48","updated_at":"2026-07-10 22:39:29","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"enriched\",\n  \"title\": \"Flexible, Scalable, High Channel Count Stereo-Electrode for Recording in the Human Brain\",\n  \"description\": \"This dataset contains intracranial EEG (iEEG) recordings from human patients, rodents, pigs, and non-human primates acquired using novel flexible, scalable, high-resolution micro-stereo-electrodes. The study evaluates the performance of these custom-fabricated depth electrodes for neural recording and includes direct electrical stimulation experiments to assess stimulation effects on brain activity. Raw and preprocessed epoched data are provided in iEEG-BIDS format with accompanying channel maps and derivatives.\",\n  \"methods_description\": \"Intracranial EEG recordings were obtained using flexible, scalable micro-stereo-electrodes in multiple species (humans, rodents, pigs, non-human primates). Direct electrical stimulation was applied to examine stimulation effects on neural activity. Data are provided in iEEG-BIDS format with binary files and channel maps.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Keundong Lee\": {},\n    \"Angelique C. Paulk\": {\n      \"orcid\": \"0000-0002-4413-3417\"\n    },\n    \"Yun Goo Ro\": {},\n    \"Daniel R. Cleary\": {},\n    \"Karen J. Tonsfeldt\": {},\n    \"Yoav Kfir\": {},\n    \"John Pezaris\": {},\n    \"Youngbin Tchoe\": {},\n    \"Jihwan Lee\": {},\n    \"Andrew M. Bourhis\": {},\n    \"Ritwik Vatsyayan\": {},\n    \"Joel R. Martin\": {},\n    \"Samantha M. Russman\": {},\n    \"Jimmy C. Yang\": {},\n    \"Amy Baohan\": {},\n    \"R. Mark Richardson\": {\n      \"orcid\": \"0000-0003-2620-7387\"\n    },\n    \"Ziv M. Williams\": {},\n    \"Shelley I. Fried\": {},\n    \"Hoi Sang U\": {},\n    \"Ahmed M. Raslan\": {},\n    \"Sharona Ben-Haim\": {},\n    \"Eric Halgren\": {},\n    \"Sydney S. Cash\": {\n      \"orcid\": \"0000-0002-4557-6391\"\n    },\n    \"Shadi. A. Dayeh\": {\n      \"orcid\": \"0000-0002-1756-1774\"\n    }\n  },\n  \"keywords\": [\n    {\n      \"term\": \"intracranial EEG\"\n    },\n    {\n      \"term\": \"depth electrodes\"\n    },\n    {\n      \"term\": \"neural recording\"\n    },\n    {\n      \"term\": \"electrical stimulation\"\n    },\n    {\n      \"term\": \"microelectrodes\"\n    },\n    {\n      \"term\": \"electrophysiology\"\n    },\n    {\n      \"term\": \"stereo-electrodes\"\n    },\n    {\n      \"term\": \"direct electrical stimulation\"\n    },\n    {\n      \"term\": \"multi-species recording\"\n    },\n    {\n      \"term\": \"BIDS\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"10.1101/2022.11.08.515705.\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on004819\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataexplorer/detail?dataset_id=on004819\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.1101/2022.11.08.515705\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds004819.v1.0.0\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    }\n  ],\n  \"funding_references\": [\n    {\n      \"funder_name\": \"Tiny Blue Dot Foundation\"\n    },\n    {\n      \"funder_name\": \"NIH K99 NS119291\"\n    },\n    {\n      \"funder_name\": \"MGH - ECOR\"\n    },\n    {\n      \"funder_name\": \"NIH\",\n      \"award_number\": \"UG3NS123723-01\"\n    },\n    {\n      \"funder_name\": \"NIH\",\n      \"award_number\": \"R01NS123655-01\"\n    },\n    {\n      \"funder_name\": \"NIH\",\n      \"award_number\": \"DP2-EB029757\"\n    },\n    {\n      \"funder_name\": \"NIH\",\n      \"award_number\": \"MH120886-01\"\n    },\n    {\n      \"funder_name\": \"NSF\",\n      \"award_number\": \"1728497\"\n    },\n    {\n      \"funder_name\": \"NSF\",\n      \"award_number\": \"1351980\"\n    },\n    {\n      \"funder_name\": \"NSF\",\n      \"award_number\": \"DGE-1650112\"\n    },\n    {\n      \"funder_name\": \"NIH\",\n      \"award_number\": \"K24-NS088568\"\n    },\n    {\n      \"funder_name\": \"NIH\",\n      \"award_number\": \"R01-NS062092\"\n    },\n    {\n      \"funder_name\": \"NIH\",\n      \"award_number\": \"NS047101\"\n    },\n    {\n      \"funder_name\": \"NIH\",\n      \"award_number\": \"K99NS119291\"\n    },\n    {\n      \"funder_name\": \"NSF\",\n      \"award_number\": \"ECCS1542148\"\n    },\n    {\n      \"funder_name\": \"Massachusetts General Hospital - Executive Committee on Research\"\n    }\n  ],\n  \"resource_type_general\": \"Dataset\",\n  \"resource_type_specific\": \"iEEG Dataset\",\n  \"modalities\": [\n    \"ieeg\"\n  ],\n  \"sizes\": [\n    \"1.5 GB (25 files)\"\n  ],\n  \"formats\": [\n    \".dat\",\n    \".edf\",\n    \".json\",\n    \".mat\",\n    \".md\",\n    \".tsv\",\n    \".yml\"\n  ],\n  \"source_hash\": \"6f4089f616689d7a0e004755524c132cc53ca79bea395826dddda1713d63ee39\"\n}","last_activity_at":"2026-06-25 16:01:48","source":"openneuro","source_id":"ds004819","subject_count":1,"modalities":"ieeg","age_min":0.333,"age_max":14,"file_size":1456883141,"total_files":50,"tasks":"BaselineandStimRecordingRAWEDF","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"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","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004819-blue)](https://doi.org/10.82901/nemar.on004819)\n\nThis 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. \n\nData are in the iEEG-BIDS format with binary files and channel maps included in the related derivatives folder. 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