{"dataset":{"id":"53734","dataset_id":"on003670","name":"Dataset of Concurrent EEG, ECG, and Behavior with Multiple Doses of transcranial Electrical Stimulation - BIDS","description":"This dataset combines high-density electroencephalography (EEG) with concurrent physiological recordings (ECG, EOG) and continuous behavioral metrics during transcranial electrical stimulation (tES). The study includes 19 participants performing a vigilance task across 62 sessions, with systematic application of nine HD-tES montages targeting three cortical regions (frontal, motor, parietal) using three waveforms (DC, 5 Hz, 30 Hz), yielding over 783 stimulation trials. The dataset supports investigation of tES effects on brain activity, physiology, fatigue, and cognitive performance.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on003670","concept_doi":"10.82901/nemar.on003670","latest_version_doi":"10.82901/nemar.on003670.v1.0.0","created_at":"2026-06-22 09:31:13","updated_at":"2026-07-10 22:18:38","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"Dataset of Concurrent EEG, ECG, and Behavior with Multiple Doses of transcranial Electrical Stimulation - BIDS\",\n  \"description\": \"This dataset combines high-density electroencephalography (EEG) with concurrent physiological recordings (ECG, EOG) and continuous behavioral metrics during transcranial electrical stimulation (tES). The study includes 19 participants performing a vigilance task across 62 sessions, with systematic application of nine HD-tES montages targeting three cortical regions (frontal, motor, parietal) using three waveforms (DC, 5 Hz, 30 Hz), yielding over 783 stimulation trials. The dataset supports investigation of tES effects on brain activity, physiology, fatigue, and cognitive performance.\",\n  \"methods_description\": \"EEG, ECG, and EOG were recorded concurrently over 70-minute sessions while participants performed a continuous tracking task (CTT). Participants received high-definition transcranial electrical stimulation (HD-tES) with nine different montage-waveform combinations (three cortical targets × three waveforms: DC, 5 Hz, 30 Hz). Experiment 1 included three 70-minute sessions with four trials per stimulation type; Experiment 2 included two 70.5-minute sessions with 20 trials per stimulation type. Demographic data and self-reported wellness questionnaires were collected before and after each session.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Nigel Gebodh\": {\n      \"orcid\": \"0000-0001-5457-5641\",\n      \"affiliations\": [\n        {\n          \"name\": \"The City College of New York\"\n        }\n      ]\n    },\n    \"Zeinab Esmaeilpour\": {},\n    \"Abhishek Datta\": {},\n    \"Marom Bikson\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"transcranial electrical stimulation\"\n    },\n    {\n      \"term\": \"tDCS\"\n    },\n    {\n      \"term\": \"tACS\"\n    },\n    {\n      \"term\": \"ECG\"\n    },\n    {\n      \"term\": \"vigilance task\"\n    },\n    {\n      \"term\": \"cognitive performance\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"10.5281/zenodo.3837212\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on003670\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataexplorer/detail?dataset_id=on003670\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.5281/zenodo.3840615\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"HasPart\"\n    },\n    {\n      \"identifier\": \"10.5281/zenodo.3840617\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"HasPart\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds003670.v1.1.0\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    }\n  ],\n  \"funding_references\": [\n    {\n      \"funder_name\": \"X (formerly Google X)\"\n    },\n    {\n      \"funder_name\": \"National Institutes of Health\",\n      \"award_number\": \"R01NS095123\"\n    },\n    {\n      \"funder_name\": \"National Institutes of Health\",\n      \"award_number\": \"R01NS101362\"\n    },\n    {\n      \"funder_name\": \"National Institutes of Health\",\n      \"award_number\": \"R01NS112996\"\n    },\n    {\n      \"funder_name\": \"National Institutes of Health\",\n      \"award_number\": \"R01MH111896\"\n    },\n    {\n      \"funder_name\": \"National Institutes of Health\",\n      \"award_number\": \"R01MH109289\"\n    },\n    {\n      \"funder_name\": \"National Institutes of Health\",\n      \"award_number\": \"T32GM136499\"\n    },\n    {\n      \"funder_name\": \"X Development LLC\"\n    }\n  ],\n  \"resource_type_specific\": \"EEG Dataset\",\n  \"modalities\": [\n    \"eeg\"\n  ],\n  \"sizes\": [\n    \"104.7 GB (510 files)\"\n  ],\n  \"formats\": [\n    \".bat\",\n    \".cnt\",\n    \".csv\",\n    \".evt\",\n    \".fdt\",\n    \".gitattributes\",\n    \".jpg\",\n    \".json\",\n    \".m\",\n    \".mat\",\n    \".md\",\n    \".par\",\n    \".pbl\",\n    \".seg\",\n    \".set\",\n    \".tsv\",\n    \".txt\",\n    \".yml\"\n  ],\n  \"source_hash\": \"6fa60d82f7c71a6eb772518798551b416f52b5db40f30724ae0fd9886902fd51\"\n}","last_activity_at":"2026-06-22 09:31:13","source":"openneuro","source_id":"ds003670","subject_count":25,"modalities":"eeg","age_min":19,"age_max":43,"file_size":104721239023,"total_files":891,"tasks":"GXtESCTT","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Nigel Gebodh, Zeinab Esmaeilpour, Abhishek Datta, Marom Bikson","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on003670-blue)](https://doi.org/10.82901/nemar.on003670)\n\n**Synopsis**\nThis is the **GX dataset** formatted to comply with [BIDS](https://bids.neuroimaging.io/) standard format. \n\nThe tES/EEG/CTT/Vigilance experiment contains 19 unique participants (some repeated experiments).\nOver a 70 min period EEG/ECG/EOG were recorded concurrently with a [CTT](https://sccn.ucsd.edu/~scott/pdf/COMPTRACK.pdf)\nwhere participants maintained a ball at the center of the screen\nand were periodically stimulated (with low-intensity noninvasive brain stimulation) for 30 secs with combinations of 9 stimulation montages.\n\nFor the **raw data** please see: https://zenodo.org/record/4456079 \n\nFor methodological details please see corresponding article titled:\n    **Dataset of concurrent EEG, ECG, and behavior with multiple doses of transcranial Electrical Stimulation**\n\n\n**Data Descriptor Abstract**\nWe present a dataset combining human-participant high-density electroencephalography (EEG) with physiological and continuous behavioral metrics during transcranial electrical stimulation (tES). Data include within participant application of nine High-Definition tES (HD-tES) types, targeting three cortical regions (frontal, motor, parietal) with three stimulation waveforms (DC, 5 Hz, 30 Hz); more than 783 total stimulation trials over 62 sessions with EEG, physiological (ECG, EOG), and continuous behavioral vigilance/alertness metrics. Experiment 1 and 2 consisted of participants performing a continuous vigilance/alertness task over three 70-minute and two 70.5-minute sessions, respectively. Demographic data were collected, as well as self-reported wellness questionnaires before and after each session. Participants received all 9 stimulation types in Experiment 1, with each session including three stimulation types, with 4 trials per type. Participants received 2 stimulation types in Experiment 2, with 20 trials of a given stimulation type per session. Within-participant reliability was tested by repeating select sessions. This unique dataset supports a range of hypothesis testing including interactions of tDCS/tACS location and frequency, brain-state, physiology, fatigue, and cognitive performance.\n\nFor more details please see the full data descriptor article.\n\n\nCode used to import and process this dataset can be found here:\n**GitHub** : https://github.com/ngebodh/GX_tES_EEG_Physio_Behavior\n\nFor downsampled data please see:\n**Experiment 1** : https://doi.org/10.5281/zenodo.3840615\n**Experiment 2** : https://doi.org/10.5281/zenodo.3840617\n\n\n\n- Nigel Gebodh (May 26th, 2021)","bids_version":"1.1.1","sessions_count":6,"publish_date":null,"embedding_dirty":0,"license_tier":"public","zarr_status":"ready","zarr_converted_at":"2026-09-08 08:40:06","zarr_store_count":62,"zarr_index_etag":"ddda01057d86190433e2abdf95f3ca4b","zarr_source_commit":"7c338d6897a8b3d2522264bf0acfc11fc0ff3a6b","archive_status":"ready","archive_size":84857243801,"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":1,"num_datapaper_citations":1,"n_channels":35,"electrode_system":"10-10","has_hed":0,"hed_version":null,"is_exemplar":0,"bytes_present":104720900751,"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":261979.4519999999,"recording_duration_min":3183.252,"recording_duration_max":4303.36,"recording_count":62,"recordings_unavailable":0,"recordings_measured":62,"channel_count_min":35,"channel_count_max":35,"sampling_frequency":2000,"power_line_frequency":60,"eeg_reference":"CPz","placement_scheme":null,"sweep_stamps":"{\"enrichment_updated_at\":\"2026-06-22 09:44:37\",\"metadata_updated_at\":\"2026-06-22 09:44:50\",\"archive_checked_at\":\"2026-06-22 10:43:02\",\"zarr_checked_at\":null,\"records_checked_at\":\"2026-06-22 09:46:00\",\"citations_updated_at\":\"2026-09-10 03:00:19\",\"channel_montage_checked_at\":\"2026-06-28 23:14:07\",\"hed_checked_at\":\"2026-06-30 04:45:46\",\"data_checked_at\":\"2026-08-02 03:01:08\",\"availability_report_at\":\"2026-07-23 01:14:44\",\"signal_defaults_at\":\"2026-09-02 12:01:53\",\"recording_stats_at\":\"2026-09-09 03:00:14\"}","participants":25,"num_citations":2,"latest_version":"v1.0.0","zarr_verify_status":null,"zarr_verified_at":null,"owner_username":"nemarAdmin","owner_github":"nemarAdmin","file_size_formatted":"97.53 GB","zarr_data_failures":null,"zarr_index_url":"https://zarr.nemar.org/on003670/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}}