{"dataset":{"id":"42483","dataset_id":"on004100","name":"HUP iEEG Epilepsy Dataset","description":"This dataset contains de-identified intracranial EEG (iEEG) recordings from 58 patients with drug-resistant epilepsy who underwent surgical evaluation at the Hospital of the University of Pennsylvania. Recordings include both ECoG (subdural grid/strip and depth electrodes) and SEEG (stereotactic depth electrodes) during interictal and ictal periods, along with electrode localizations in ICBM152 MNI space. The dataset also provides clinically-determined seizure onset zone channels and channels overlapping with the resection or ablation zone, supporting research on epileptogenic tissue mapping and surgical outcome prediction.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on004100","concept_doi":"10.82901/nemar.on004100","latest_version_doi":"10.82901/nemar.on004100.v1.0.0","created_at":"2026-06-18 04:31:21","updated_at":"2026-08-18 22:35:30","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"HUP iEEG Epilepsy Dataset\",\n  \"description\": \"This dataset contains de-identified intracranial EEG (iEEG) recordings from 58 patients with drug-resistant epilepsy who underwent surgical evaluation at the Hospital of the University of Pennsylvania. Recordings include both ECoG (subdural grid/strip and depth electrodes) and SEEG (stereotactic depth electrodes) during interictal and ictal periods, along with electrode localizations in ICBM152 MNI space. The dataset also provides clinically-determined seizure onset zone channels and channels overlapping with the resection or ablation zone, supporting research on epileptogenic tissue mapping and surgical outcome prediction.\",\n  \"methods_description\": \"Intracranial EEG data (ECoG and SEEG) were collected from patients undergoing surgical treatment for drug-resistant epilepsy. Electrode localizations were computed in ICBM152 MNI space, and resection/ablation zones were determined by segmenting the resection cavity. The dataset was converted into BIDS format using MNE-BIDS.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"John M. Bernabei\": {},\n    \"Adam Li\": {},\n    \"Andrew Y. Revell\": {},\n    \"Rachel J. Smith\": {},\n    \"Kristin M. Gunnarsdottir\": {},\n    \"Ian Z. Ong\": {},\n    \"Kathryn A. Davis\": {},\n    \"Nishant Sinha\": {},\n    \"Sridevi Sarma\": {},\n    \"Brian Litt\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"Electroencephalography\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D004569\"\n    },\n    {\n      \"term\": \"Epilepsy\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D004827\"\n    },\n    {\n      \"term\": \"intracranial EEG\"\n    },\n    {\n      \"term\": \"ECoG\"\n    },\n    {\n      \"term\": \"SEEG\"\n    },\n    {\n      \"term\": \"seizure onset zone\"\n    },\n    {\n      \"term\": \"epilepsy surgery\"\n    },\n    {\n      \"term\": \"resection zone\"\n    },\n    {\n      \"term\": \"laser ablation\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on004100\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.21105/joss.01896\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"10.1038/s41597-019-0105-7\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds004100.v1.1.3\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataset/on004100\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    }\n  ],\n  \"resource_type_general\": \"Dataset\",\n  \"resource_type_specific\": \"iEEG Dataset\",\n  \"modalities\": [\n    \"ieeg\"\n  ],\n  \"sizes\": [\n    \"14.2 GB (320 files)\"\n  ],\n  \"formats\": [\n    \".edf\",\n    \".json\",\n    \".md\",\n    \".tsv\",\n    \".yml\"\n  ],\n  \"source_hash\": \"2adbcd5508c48b85cdcd0c7a05c81e8394f0238c4299539a49e28755b075bcc5\"\n}","last_activity_at":"2026-06-18 04:31:21","source":"openneuro","source_id":"ds004100","subject_count":57,"modalities":"ieeg","age_min":16,"age_max":59,"file_size":14196264005,"total_files":1345,"tasks":"ictal,interictal","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"John M. Bernabei, Adam Li, Andrew Y. Revell, Rachel J. Smith, Kristin M. Gunnarsdottir, Ian Z. Ong, Kathryn A. Davis, Nishant Sinha, Sridevi Sarma, Brian Litt","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004100-blue)](https://doi.org/10.82901/nemar.on004100)\n\n<h1>HUP iEEG dataset</h1>\n\nThis dataset was prepared for release as part of a manuscript by Bernabei & Li et al. (in preparation). A subset of the data has been featured in Kini & Bernabei et al., Brain (2019) [1], and Bernabei & Sinha et al., Brain (2022) [2]. \n\n<h3>Dataset description</h3>\nThese files contain de-identified patient data collected as part of surgical treatment for drug resistant epilepsy at the Hospital of the University of Pennsylvania. Each of the 58 subjects underwent intracranial EEG with subdural grid, strip, and depth electrodes (ECoG) or purely stereotactically-placed depth electrodes (SEEG). Each patient also underwent subsequent treatment with surgical resection or laser ablation. Electrophysiologic data for both interictal and ictal periods is available, as are electrode localizations in ICBM152 MNI space. Furthermore, clinically-determined seizure onset channels are provided, as are channels which overlap with the resection/ablation zone, which was rigorously determined by segmenting the resection cavity. \n\n<h3>BIDS Conversion</h3>\nMNE-BIDS was used to convert the dataset into BIDS format. \n\n<h3>References</h3>\n[1] Kini L.*, Bernabei J.M.*, Mikhail F., Hadar P., Shah P., Khambhati A., Oechsel K., Archer R., Boccanfuso J.A., Conrad E., Stein J., Das S., Kheder A., Lucas T.H., Davis K.A., Bassett D.S., Litt B., Virtual resection predicts surgical outcome for drug resistant epilepsy. Brain, 2019.\n\n[2] Bernabei J.M.*, Sinha N.*, Arnold T.C., Conrad E., Ong I., Pattnaik A.R., Stein J.M., Shinohara R.T., Lucas T.H., Bassett D.S., Davis K.A., Litt B., Normative intracranial EEG maps epileptogenic tissues in focal epilepsy. Brain, 2022\n\n[3] Appelhoff, S., Sanderson, M., Brooks, T., Vliet, M., Quentin, R., Holdgraf, C., Chaumon, M., Mikulan, E., Tavabi, K., Höchenberger, R., Welke, D., Brunner, C., Rockhill, A., Larson, E., Gramfort, A. and Jas, M. (2019). MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. Journal of Open Source Software 4: (1896). https://doi.org/10.21105/joss.01896\n\n[4] Holdgraf, C., Appelhoff, S., Bickel, S., Bouchard, K., D'Ambrosio, S., David, O., … Hermes, D. (2019). iEEG-BIDS, extending the Brain Imaging Data Structure specification to human intracranial electrophysiology. Scientific Data, 6, 102. https://doi.org/10.1038/s41597-019-0105-7\n\n","bids_version":"1.4.0","sessions_count":1,"publish_date":null,"embedding_dirty":0,"license_tier":"public","zarr_status":"ready","zarr_converted_at":"2026-09-06 08:04:27","zarr_store_count":319,"zarr_index_etag":"93339a117e16d1575eebb7a65284724a","zarr_source_commit":"493ec1b8ec2a161d00a8130cf8b7afaee790c685","archive_status":"ready","archive_size":7745111654,"archive_retry_count":0,"records_status":"ready","archive_skip_reason":null,"zarr_errors":0,"zarr_failure_count":0,"zarr_deterministic":0,"zarr_failed_at":null,"num_dataset_citations":22,"num_datapaper_citations":0,"n_channels":null,"electrode_system":null,"has_hed":0,"hed_version":null,"is_exemplar":0,"bytes_present":14193660894,"data_complete":1,"withdrawn_at":null,"withdrawn_reason":null,"archive_complete":null,"archive_absent_files":null,"archive_declared_files":null,"zarr_pool_breaks":0,"total_recording_duration":92585,"recording_duration_min":185,"recording_duration_max":1308,"recording_count":319,"recordings_unavailable":0,"recordings_measured":319,"channel_count_min":52,"channel_count_max":232,"sampling_frequency":null,"power_line_frequency":null,"eeg_reference":null,"placement_scheme":null,"sweep_stamps":"{\"enrichment_updated_at\":\"2026-08-18 22:35:14\",\"metadata_updated_at\":\"2026-08-18 22:35:28\",\"archive_checked_at\":\"2026-06-18 04:49:31\",\"zarr_checked_at\":null,\"records_checked_at\":\"2026-06-18 04:41:19\",\"citations_updated_at\":\"2026-09-08 03:00:48\",\"channel_montage_checked_at\":\"2026-06-28 23:19:26\",\"hed_checked_at\":\"2026-06-30 04:52:07\",\"data_checked_at\":null,\"availability_report_at\":\"2026-07-23 01:16:46\",\"signal_defaults_at\":\"2026-09-02 12:07:17\",\"recording_stats_at\":\"2026-09-07 03:01:06\"}","participants":57,"num_citations":22,"latest_version":"v1.0.0","zarr_verify_status":null,"zarr_verified_at":null,"owner_username":"nemarAdmin","owner_github":"nemarAdmin","file_size_formatted":"13.22 GB","zarr_data_failures":null,"zarr_index_url":"https://zarr.nemar.org/on004100/zarr/index.json","attestation_deposit_type":null,"attestation_key_status":null,"attestation_deidentified":null,"attestation_no_duplicate":null,"attestation_upstream_source":null,"attestation_accepted_at":null}}