{"dataset":{"id":"270","dataset_id":"nm000237","name":"7-day motor imagery BCI EEG dataset from Zhou et al 2021","description":"This dataset contains EEG recordings from 20 healthy participants performing a 7-day longitudinal motor imagery brain-computer interface (BCI) task without feedback. Each subject completed 7 sessions of 6 runs, imagining left hand, right hand, feet, and rest movements, yielding 33,600 trials in total. The dataset was converted to BIDS format from the original study by Zhou et al. (2021) examining the relationship between relative power and motor imagery decoding performance across time and subjects.","owner_user_id":19,"status":"active","github_repo":"nemarDatasets/nm000237","concept_doi":"10.82901/nemar.nm000237","latest_version_doi":"10.82901/nemar.nm000237.v1.0.3","created_at":"2026-03-25 19:39:20","updated_at":"2026-08-20 19:21:55","zenodo_concept_id":"20738310","is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"7-day motor imagery BCI EEG dataset from Zhou et al 2021\",\n  \"description\": \"This dataset contains EEG recordings from 20 healthy participants performing a 7-day longitudinal motor imagery brain-computer interface (BCI) task without feedback. Each subject completed 7 sessions of 6 runs, imagining left hand, right hand, feet, and rest movements, yielding 33,600 trials in total. The dataset was converted to BIDS format from the original study by Zhou et al. (2021) examining the relationship between relative power and motor imagery decoding performance across time and subjects.\",\n  \"methods_description\": \"EEG was recorded using a Neuroscan SynAmps2 system with 41 Ag/AgCl electrodes referenced to vertex (Cz) and grounded at AFz, sampled at 500 Hz with online bandpass (0.5-100 Hz) and notch (50 Hz) filtering. Participants performed 7 sessions of 6 runs each, imagining left hand, right hand, feet movements, or rest, with 5-second trial intervals cued visually via arrows.\",\n  \"license\": \"CC-BY-4.0\",\n  \"dataset_type\": \"derivative\",\n  \"authors\": {\n    \"Qing Zhou\": {},\n    \"Jiafan Lin\": {},\n    \"Lin Yao\": {},\n    \"Yueming Wang\": {},\n    \"Yan Han\": {},\n    \"Kedi Xu\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"motor imagery\"\n    },\n    {\n      \"term\": \"brain-computer interface\"\n    },\n    {\n      \"term\": \"longitudinal study\"\n    },\n    {\n      \"term\": \"common spatial patterns\"\n    },\n    {\n      \"term\": \"support vector machine\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"10.3389/fnhum.2021.701091\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    },\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/nm000237\",\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/s41597-019-0104-8\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"References\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataset/nm000237\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    }\n  ],\n  \"resource_type_general\": \"Dataset\",\n  \"resource_type_specific\": \"EEG Dataset\",\n  \"modalities\": [\n    \"eeg\"\n  ],\n  \"sizes\": [\n    \"100.0 GB (1687 files)\"\n  ],\n  \"formats\": [\n    \".bdf\",\n    \".json\",\n    \".md\",\n    \".npz\",\n    \".tsv\",\n    \".yaml\",\n    \".yml\",\n    \".zip\"\n  ],\n  \"source_hash\": \"87c9b377852b625e89103971b4750045ee79c3d25ed6fec536c026c0c192bf5f\"\n}","last_activity_at":"2026-08-16 13:37:32","source":null,"source_id":null,"subject_count":20,"modalities":"eeg","age_min":23.2,"age_max":23.2,"file_size":99972490205,"total_files":6305,"tasks":"imagery","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Qing Zhou, Jiafan Lin, Lin Yao, Yueming Wang, Yan Han, Kedi Xu","license":"CC-BY-4.0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.nm000237-blue)](https://doi.org/10.82901/nemar.nm000237)\n\n# 7-day motor imagery BCI EEG dataset from Zhou et al 2021\n\n7-day motor imagery BCI EEG dataset from Zhou et al 2021.\n\n## Dataset Overview\n\n- **Code**: Zhou2020\n- **Paradigm**: imagery\n- **DOI**: 10.3389/fnhum.2021.701091\n- **Subjects**: 20\n- **Sessions per subject**: 7\n- **Events**: left_hand=1, right_hand=2, feet=3, rest=4\n- **Trial interval**: [0, 5] s\n- **Runs per session**: 6\n- **File format**: NPZ\n- **Data preprocessed**: True\n\n## Acquisition\n\n- **Sampling rate**: 500.0 Hz\n- **Number of channels**: 41\n- **Channel types**: eeg=41\n- **Channel names**: F3, F1, Fz, F2, F4, FC5, FC3, FC1, FCz, FC2, FC4, FC6, C5, C3, C1, Cz, C2, C4, C6, CP5, CP3, CP1, CPz, CP2, CP4, CP6\n- **Montage**: standard_1005\n- **Hardware**: Neuroscan SynAmps2\n- **Reference**: vertex (Cz)\n- **Ground**: AFz\n- **Sensor type**: Ag/AgCl\n- **Line frequency**: 50.0 Hz\n- **Online filters**: {'bandpass': [0.5, 100], 'notch_hz': 50}\n\n## Participants\n\n- **Number of subjects**: 20\n- **Health status**: healthy\n- **Age**: mean=23.2, std=1.47, min=21, max=27\n- **Gender distribution**: female=9, male=11\n- **Handedness**: right-handed\n- **BCI experience**: mixed\n- **Species**: human\n\n## Experimental Protocol\n\n- **Paradigm**: imagery\n- **Number of classes**: 4\n- **Class labels**: left_hand, right_hand, feet, rest\n- **Trial duration**: 5.0 s\n- **Study design**: 7-day longitudinal MI-BCI study without feedback training. 4 classes: left hand, right hand, both feet, idle\n- **Feedback type**: none\n- **Stimulus type**: arrow cues\n- **Stimulus modalities**: visual\n- **Primary modality**: visual\n- **Synchronicity**: synchronous\n- **Mode**: offline\n\n## HED Event Annotations\n\nSchema: HED 8.4.0 | Browse: https://www.hedtags.org/hed-schema-browser\n\n```\n  left_hand\n    ├─ Sensory-event, Experimental-stimulus, Visual-presentation\n    └─ Agent-action\n       └─ Imagine\n          ├─ Move\n          └─ Left, Hand\n\n  right_hand\n    ├─ Sensory-event, Experimental-stimulus, Visual-presentation\n    └─ Agent-action\n       └─ Imagine\n          ├─ Move\n          └─ Right, Hand\n\n  feet\n    ├─ Sensory-event, Experimental-stimulus, Visual-presentation\n    └─ Agent-action\n       └─ Imagine, Move, Foot\n\n  rest\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Rest\n\n```\n## Paradigm-Specific Parameters\n\n- **Detected paradigm**: motor_imagery\n- **Imagery tasks**: left_hand, right_hand, feet, rest\n- **Imagery duration**: 5.0 s\n\n## Data Structure\n\n- **Trials**: 33600\n- **Trials context**: 20 subjects x 7 sessions x 6 runs x 40 trials = 33600\n\n## Signal Processing\n\n- **Classifiers**: SVM\n- **Feature extraction**: CSP\n- **Frequency bands**: classification=[8.0, 30.0] Hz\n- **Spatial filters**: CSP\n\n## Cross-Validation\n\n- **Method**: 10-fold\n- **Folds**: 10\n- **Evaluation type**: within_session\n\n## BCI Application\n\n- **Applications**: research\n- **Environment**: laboratory\n- **Online feedback**: False\n\n## Tags\n\n- **Pathology**: Healthy\n- **Modality**: Motor\n- **Type**: Research\n\n## Documentation\n\n- **DOI**: 10.3389/fnhum.2021.701091\n- **License**: CC-BY-4.0\n- **Investigators**: Qing Zhou, Jiafan Lin, Lin Yao, Yueming Wang, Yan Han, Kedi Xu\n- **Institution**: Zhejiang University\n- **Country**: CN\n- **Repository**: Zenodo\n- **Data URL**: https://zenodo.org/records/18988317\n- **Publication year**: 2021\n\n## References\n\nZhou, Q., Lin, J., Yao, L., Wang, Y., Han, Y., Xu, K. (2021). Relative Power Correlates With the Decoding Performance of Motor Imagery Both Across Time and Subjects. Frontiers in Human Neuroscience, 15, 701091. https://doi.org/10.3389/fnhum.2021.701091\nAppelhoff, S., Sanderson, M., Brooks, T., Vliet, M., Quentin, R., Holdgraf, C., Chaumon, M., Mikulan, E., Tavabi, K., Hochenberger, 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\nPernet, C. R., Appelhoff, S., Gorgolewski, K. J., Flandin, G., Phillips, C., Delorme, A., Oostenveld, R. (2019). EEG-BIDS, an extension to the brain imaging data structure for electroencephalography. Scientific Data, 6, 103. https://doi.org/10.1038/s41597-019-0104-8\n\n---\nGenerated by MOABB 1.5.0 (Mother of All BCI Benchmarks)\nhttps://github.com/NeuroTechX/moabb\n","bids_version":"1.9.0","sessions_count":7,"publish_date":"2026-03-25 19:39:20","embedding_dirty":0,"license_tier":"attribution","zarr_status":"ready","zarr_converted_at":"2026-09-06 02:27:27","zarr_store_count":833,"zarr_index_etag":"ea625477737c73b37e9bd8c56d847d44","zarr_source_commit":"bbd3ff18907560151af11fef9857527ffa4b0694","archive_status":"ready","archive_size":47479664420,"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":0,"num_datapaper_citations":15,"n_channels":41,"electrode_system":"other","has_hed":1,"hed_version":"8.4.0","is_exemplar":0,"bytes_present":99967188687,"data_complete":1,"withdrawn_at":null,"withdrawn_reason":null,"archive_complete":1,"archive_absent_files":0,"archive_declared_files":6305,"zarr_pool_breaks":0,"total_recording_duration":324263,"recording_duration_min":198,"recording_duration_max":741,"recording_count":833,"recordings_unavailable":0,"recordings_measured":833,"channel_count_min":26,"channel_count_max":41,"sampling_frequency":500,"power_line_frequency":50,"eeg_reference":"vertex (Cz)","placement_scheme":"10-05 system","sweep_stamps":"{\"enrichment_updated_at\":\"2026-08-20 19:21:04\",\"metadata_updated_at\":\"2026-08-20 19:21:53\",\"archive_checked_at\":\"2026-08-20 19:55:07\",\"zarr_checked_at\":null,\"records_checked_at\":\"2026-08-20 19:22:40\",\"citations_updated_at\":\"2026-09-08 03:00:49\",\"channel_montage_checked_at\":\"2026-06-28 22:59:42\",\"hed_checked_at\":\"2026-06-30 07:31:45\",\"data_checked_at\":null,\"availability_report_at\":\"2026-08-21 03:01:36\",\"signal_defaults_at\":\"2026-09-02 11:47:23\",\"recording_stats_at\":\"2026-09-06 03:00:39\"}","participants":20,"num_citations":15,"latest_version":"v1.0.3","zarr_verify_status":null,"zarr_verified_at":null,"owner_username":"bruaristimunha","owner_github":"bruAristimunha","file_size_formatted":"93.11 GB","zarr_data_failures":null,"zarr_index_url":"https://zarr.nemar.org/nm000237/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}}