{"dataset":{"id":"43872","dataset_id":"on005779","name":"Real-time personalized brain state-dependent TMS in healthy adults ","description":"This dataset contains raw EEG data from a study investigating real-time, personalized brain state-dependent transcranial magnetic stimulation (TMS) in healthy adults. The research demonstrates that personalized whole-brain activity patterns can predict human corticospinal tract activation in real-time, with potential applications for brain stimulation therapies. Data includes EEG recordings collected during TMS-guided brain state-dependent stimulation protocols, where TMS serves as the intervention guided by real-time EEG decoding.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on005779","concept_doi":"10.82901/nemar.on005779","latest_version_doi":"10.82901/nemar.on005779.v1.0.0","created_at":"2026-06-18 14:31:22","updated_at":"2026-07-10 22:56:35","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"enriched\",\n  \"title\": \"Real-time personalized brain state-dependent TMS in healthy adults \",\n  \"description\": \"This dataset contains raw EEG data from a study investigating real-time, personalized brain state-dependent transcranial magnetic stimulation (TMS) in healthy adults. The research demonstrates that personalized whole-brain activity patterns can predict human corticospinal tract activation in real-time, with potential applications for brain stimulation therapies. Data includes EEG recordings collected during TMS-guided brain state-dependent stimulation protocols, where TMS serves as the intervention guided by real-time EEG decoding.\",\n  \"methods_description\": \"Real-time and offline analysis of EEG brain activity patterns during TMS stimulation, with personalized decoding approaches to predict corticospinal tract activation. TMS pulses were delivered based on real-time brain state predictions derived from EEG activity patterns.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Uttara Khatri\": {},\n    \"Sara Hussain\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"transcranial magnetic stimulation\"\n    },\n    {\n      \"term\": \"real-time brain imaging\"\n    },\n    {\n      \"term\": \"corticospinal tract\"\n    },\n    {\n      \"term\": \"brain state decoding\"\n    },\n    {\n      \"term\": \"personalized neurostimulation\"\n    },\n    {\n      \"term\": \"electroencephalography\"\n    },\n    {\n      \"term\": \"real-time decoding\"\n    },\n    {\n      \"term\": \"brain-computer interface\"\n    },\n    {\n      \"term\": \"motor cortex\"\n    },\n    {\n      \"term\": \"neurofeedback\"\n    },\n    {\n      \"term\": \"healthy controls\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on005779\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataexplorer/detail?dataset_id=on005779\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.1016/j.brs.2024\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds005779.v1.0.1\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    },\n    {\n      \"identifier\": \"10.1016/j.brs.2024.01.001\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDescribedBy\"\n    }\n  ],\n  \"funding_references\": [\n    {\n      \"funder_name\": \"NINDS\",\n      \"award_number\": \"R21NS133605\"\n    }\n  ],\n  \"resource_type_general\": \"Dataset\",\n  \"resource_type_specific\": \"EEG Dataset\",\n  \"modalities\": [\n    \"eeg\"\n  ],\n  \"sizes\": [\n    \"94.6 GB (750 files)\"\n  ],\n  \"formats\": [\n    \".eeg\",\n    \".json\",\n    \".md\",\n    \".tsv\",\n    \".vhdr\",\n    \".vmrk\",\n    \".yml\"\n  ],\n  \"source_hash\": \"3779ac70c7ba95d3e3f8e8d776e948cd5dbf206b19b24e885c5ce319801fc226\"\n}","last_activity_at":"2026-06-18 14:31:22","source":"openneuro","source_id":"ds005779","subject_count":19,"modalities":"eeg","age_min":18,"age_max":27,"file_size":95206994446,"total_files":1527,"tasks":"resting,testinghigh110RMT,testinghigh110RMTfile1,testinghigh110RMTfile2,testinghigh110RMTfile3,testinghigh120RMT,testinglow110RMT,testinglow120RMT,testingrandom110RMT,testingrandom120RMT,trainingblock1,trainingblock2,trainingblock3,trainingblock4,trainingblock5,trainingblock6","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Uttara Khatri, Sara Hussain","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005779-blue)](https://doi.org/10.82901/nemar.on005779)\n\nThis dataset contains raw data for the following publication:\n\nKhatri, U.U., Pulliam, K., Manesiya, M., Cortez, M.V., Millán, J.D.R. and Hussain, S.J., 2024. Personalized whole-brain activity patterns predict human corticospinal tract activation in real-time. Brain Stimulation, in press.\n\nReal-time and offline analysis code can be found here: https://github.com/SMNPLab/Realtime_decoding_neurotypical.git\n\nThis work was funded by NINDS under award number R21NS133605.","bids_version":"1.2","sessions_count":null,"publish_date":null,"embedding_dirty":0,"license_tier":"public","zarr_status":"ready","zarr_converted_at":"2026-09-06 04:06:40","zarr_store_count":250,"zarr_index_etag":"222c744b884b6b11dcdafdf11d4da4ab","zarr_source_commit":"6983bc5761b081f669615ea0035a73c319b16ef9","archive_status":"ready","archive_size":67584972034,"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":11,"n_channels":70,"electrode_system":"10-10","has_hed":0,"hed_version":null,"is_exemplar":0,"bytes_present":94579764642,"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":71203.61999999995,"recording_duration_min":66.304,"recording_duration_max":714.06,"recording_count":250,"recordings_unavailable":0,"recordings_measured":250,"channel_count_min":64,"channel_count_max":70,"sampling_frequency":5000,"power_line_frequency":60,"eeg_reference":"FCz","placement_scheme":null,"sweep_stamps":"{\"enrichment_updated_at\":\"2026-06-18 14:45:14\",\"metadata_updated_at\":\"2026-06-18 14:45:15\",\"archive_checked_at\":\"2026-06-18 15:32:29\",\"zarr_checked_at\":null,\"records_checked_at\":\"2026-06-18 14:46:49\",\"citations_updated_at\":\"2026-09-08 03:00:49\",\"channel_montage_checked_at\":\"2026-06-28 23:50:28\",\"hed_checked_at\":\"2026-06-30 05:24:09\",\"data_checked_at\":\"2026-07-24 03:00:05\",\"availability_report_at\":\"2026-07-23 01:26:27\",\"signal_defaults_at\":\"2026-09-02 12:40:26\",\"recording_stats_at\":\"2026-09-07 03:01:12\"}","participants":19,"num_citations":12,"latest_version":"v1.0.0","zarr_verify_status":null,"zarr_verified_at":null,"owner_username":"nemarAdmin","owner_github":"nemarAdmin","file_size_formatted":"88.67 GB","zarr_data_failures":null,"zarr_index_url":"https://zarr.nemar.org/on005779/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}}