{"dataset":{"id":"243","dataset_id":"nm000210","name":"BCIAUT-P300 dataset for autism from Simoes et al 2020","description":"The BCIAUT-P300 dataset comprises EEG recordings from 15 individuals with autism spectrum disorder (ASD) participating in a P300-based brain-computer interface (BCI) study focused on joint-attention training in a virtual environment. Data were collected across 7 sessions using 8 EEG channels sampled at 250 Hz, with visual stimuli presented as flashing objects. This multi-session, multi-subject benchmark dataset enables evaluation of P300 detection algorithms and BCI performance in the clinical ASD population.","owner_user_id":19,"status":"active","github_repo":"nemarDatasets/nm000210","concept_doi":"10.82901/nemar.nm000210","latest_version_doi":"10.82901/nemar.nm000210.v1.0.2","created_at":"2026-03-24 03:23:09","updated_at":"2026-08-18 21:13:53","zenodo_concept_id":"20518462","is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"BCIAUT-P300 dataset for autism from Simoes et al 2020\",\n  \"description\": \"The BCIAUT-P300 dataset comprises EEG recordings from 15 individuals with autism spectrum disorder (ASD) participating in a P300-based brain-computer interface (BCI) study focused on joint-attention training in a virtual environment. Data were collected across 7 sessions using 8 EEG channels sampled at 250 Hz, with visual stimuli presented as flashing objects. This multi-session, multi-subject benchmark dataset enables evaluation of P300 detection algorithms and BCI performance in the clinical ASD population.\",\n  \"methods_description\": \"EEG data were acquired using a g.Nautilus wireless system (g.tec) with 8 channels (C3, Cz, C4, CPz, P3, Pz, P4, POz) referenced to the right ear and grounded at AFz. Sampling rate was 250 Hz with a 50 Hz line frequency. Participants completed 7 sessions of P300 BCI training with visual feedback, involving 2 runs per session with flashing object stimuli. Data were preprocessed and epoched with a trial interval of [0, 1.2] seconds.\",\n  \"license\": \"CC-BY-4.0\",\n  \"dataset_type\": \"derivative\",\n  \"authors\": {\n    \"Marco Simoes\": {},\n    \"Davide Borra\": {},\n    \"Eduardo Santamaria-Vazquez\": {},\n    \"Mayra Bittencourt-Villalpando\": {},\n    \"Dominik Krzeminski\": {},\n    \"Aleksandar Miladinovic\": {},\n    \"Carlos Amaral\": {},\n    \"Bruno Direito\": {},\n    \"Miguel Castelo-Branco\": {}\n  },\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"P300\"\n    },\n    {\n      \"term\": \"brain-computer interfaces\"\n    },\n    {\n      \"term\": \"Autism Spectrum Disorder\",\n      \"subject_scheme\": \"MeSH\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D000067877\"\n    },\n    {\n      \"term\": \"Event-Related Potentials, P300\",\n      \"subject_scheme\": \"MeSH\",\n      \"scheme_uri\": \"https://id.nlm.nih.gov/mesh/\",\n      \"value_uri\": \"http://id.nlm.nih.gov/mesh/D018913\"\n    },\n    {\n      \"term\": \"joint attention\"\n    },\n    {\n      \"term\": \"benchmark dataset\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"10.3389/fnins.2020.568104\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    },\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/nm000210\",\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/nm000210\",\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    \"10.0 GB (421 files)\"\n  ],\n  \"formats\": [\n    \".bdf\",\n    \".json\",\n    \".mat\",\n    \".md\",\n    \".tsv\",\n    \".txt\",\n    \".yaml\",\n    \".yml\"\n  ],\n  \"source_hash\": \"f57f999608ea64c7534f5a43fbbea06a4fb13de5aa8d25e5b42c9a5394effd8a\"\n}","last_activity_at":"2026-08-16 13:32:25","source":null,"source_id":null,"subject_count":15,"modalities":"eeg","age_min":22.17,"age_max":22.17,"file_size":10021237074,"total_files":2741,"tasks":"p300","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Marco Simoes, Davide Borra, Eduardo Santamaria-Vazquez, Mayra Bittencourt-Villalpando, Dominik Krzeminski, Aleksandar Miladinovic, Carlos Amaral, Bruno Direito, Miguel Castelo-Branco","license":"CC-BY-4.0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.nm000210-blue)](https://doi.org/10.82901/nemar.nm000210)\n\n# BCIAUT-P300 dataset for autism from Simoes et al 2020\n\nBCIAUT-P300 dataset for autism from Simoes et al 2020.\n\n## Dataset Overview\n\n- **Code**: Simoes2020\n- **Paradigm**: p300\n- **DOI**: 10.3389/fnins.2020.568104\n- **Subjects**: 15\n- **Sessions per subject**: 7\n- **Events**: Target=2, NonTarget=1\n- **Trial interval**: [0, 1.2] s\n- **Runs per session**: 2\n- **File format**: MATLAB (epoched)\n- **Data preprocessed**: True\n\n## Acquisition\n\n- **Sampling rate**: 250.0 Hz\n- **Number of channels**: 8\n- **Channel types**: eeg=8\n- **Channel names**: C3, Cz, C4, CPz, P3, Pz, P4, POz\n- **Montage**: standard_1020\n- **Hardware**: g.Nautilus (g.tec, wireless)\n- **Reference**: right ear\n- **Ground**: AFz\n- **Line frequency**: 50.0 Hz\n\n## Participants\n\n- **Number of subjects**: 15\n- **Health status**: patients\n- **Clinical population**: autism spectrum disorder (ASD)\n- **Age**: mean=22.17, std=5.5, min=16, max=38\n- **Gender distribution**: male=15\n- **Species**: human\n\n## Experimental Protocol\n\n- **Paradigm**: p300\n- **Number of classes**: 2\n- **Class labels**: Target, NonTarget\n- **Trial duration**: 1.2 s\n- **Study design**: P300 BCI joint-attention training in virtual environment; 8 flashing objects; 15 ASD subjects across 7 sessions (clinical trial NCT02445625)\n- **Feedback type**: visual\n- **Stimulus type**: object flash\n- **Stimulus modalities**: visual\n- **Primary modality**: visual\n- **Mode**: online\n\n## HED Event Annotations\n\nSchema: HED 8.4.0 | Browse: https://www.hedtags.org/hed-schema-browser\n\n```\n  Target\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Target\n\n  NonTarget\n    ├─ Sensory-event\n    ├─ Experimental-stimulus\n    ├─ Visual-presentation\n    └─ Non-target\n\n```\n## Paradigm-Specific Parameters\n\n- **Detected paradigm**: p300\n\n## Data Structure\n\n- **Trials**: 1600 train + 400*K test per session (K=3-10)\n- **Trials context**: per_session\n\n## Signal Processing\n\n- **Classifiers**: EEGNet, LDA, SVM, MLP\n- **Feature extraction**: temporal_features, deep_learning\n- **Frequency bands**: bandpass=[2.0, 30.0] Hz\n\n## Cross-Validation\n\n- **Method**: calibration_vs_online\n- **Evaluation type**: within_subject, cross_session, cross_subject\n\n## BCI Application\n\n- **Applications**: joint_attention_training\n- **Environment**: clinical\n- **Online feedback**: True\n\n## Tags\n\n- **Pathology**: Autism\n- **Modality**: ERP\n- **Type**: P300\n\n## Documentation\n\n- **DOI**: 10.3389/fnins.2020.568104\n- **License**: CC-BY-4.0\n- **Investigators**: Marco Simoes, Davide Borra, Eduardo Santamaria-Vazquez, Mayra Bittencourt-Villalpando, Dominik Krzeminski, Aleksandar Miladinovic, Carlos Amaral, Bruno Direito, Miguel Castelo-Branco\n- **Institution**: University of Coimbra\n- **Country**: PT\n- **Data URL**: https://zenodo.org/records/19005186\n- **Publication year**: 2020\n\n## References\n\nSimoes, M., Borra, D., Santamaria-Vazquez, E., et al. (2020). BCIAUT-P300: A Multi-Session and Multi-Subject Benchmark Dataset on Autism for P300-Based Brain-Computer- Interfaces. Frontiers in Neuroscience, 14, 568104. https://doi.org/10.3389/fnins.2020.568104\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. 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