{"dataset":{"id":"61245","dataset_id":"on007609","name":"Resting-State EEG and Trait Anxiety","description":"This dataset comprises resting-state EEG recordings from 51 right-handed undergraduate participants collected at the University of Alberta, examining relationships between alpha/theta oscillatory dynamics and trait anxiety. Recordings include alternating eyes-open and eyes-closed resting blocks, accompanied by anxiety and personality questionnaire data. The dataset supports investigation into EEG correlates of trait anxiety and related psychological constructs.","owner_user_id":15,"status":"active","github_repo":"nemarDatasets/on007609","concept_doi":"10.82901/nemar.on007609","latest_version_doi":"10.82901/nemar.on007609.v1.0.0","created_at":"2026-06-30 15:03:03","updated_at":"2026-08-18 23:41:03","zenodo_concept_id":null,"is_sandbox":0,"visibility":"public","ezid_status":"public","enrichment_json":"{\n  \"version\": \"2.0\",\n  \"pipeline_stage\": \"validated\",\n  \"title\": \"Resting-State EEG and Trait Anxiety\",\n  \"description\": \"This dataset comprises resting-state EEG recordings from 51 right-handed undergraduate participants collected at the University of Alberta, examining relationships between alpha/theta oscillatory dynamics and trait anxiety. Recordings include alternating eyes-open and eyes-closed resting blocks, accompanied by anxiety and personality questionnaire data. The dataset supports investigation into EEG correlates of trait anxiety and related psychological constructs.\",\n  \"methods_description\": \"EEG was recorded using a 256-channel EGI HydroCel Geodesic Sensor Net with a Net Amps amplifier at an original sampling rate of 500 Hz, referenced online to Cz. Participants completed a resting-state protocol of alternating 1-minute eyes-open and eyes-closed blocks (EO-EC-EO-EC) for 4 minutes total, with auditory cues signaling transitions. Preprocessing in EEGLAB included 0.1-50 Hz bandpass filtering, CleanLine noise removal at 60/120 Hz, kurtosis-based channel rejection, average re-referencing, ICA decomposition (runica), ICLabel-based artifact removal (>0.8 probability) with visual inspection, and spherical interpolation of removed channels.\",\n  \"license\": \"CC0\",\n  \"dataset_type\": \"raw\",\n  \"authors\": {\n    \"Tamari Shalamberidze\": {\n      \"orcid\": \"0000-0003-3997-9837\",\n      \"affiliations\": [\n        {\n          \"name\": \"Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada\"\n        }\n      ]\n    },\n    \"Kyle Nash\": {\n      \"orcid\": \"0000-0003-0461-3835\",\n      \"affiliations\": [\n        {\n          \"name\": \"Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada\"\n        },\n        {\n          \"name\": \"Department of Psychology, University of Alberta, Edmonton, AB, Canada\"\n        }\n      ]\n    },\n    \"Jeremy B. Caplan\": {\n      \"orcid\": \"0000-0002-8542-9900\",\n      \"affiliations\": [\n        {\n          \"name\": \"Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada\"\n        },\n        {\n          \"name\": \"Department of Psychology, University of Alberta, Edmonton, AB, Canada\"\n        }\n      ]\n    }\n  },\n  \"keywords\": [\n    {\n      \"term\": \"EEG\"\n    },\n    {\n      \"term\": \"resting state\"\n    },\n    {\n      \"term\": \"trait anxiety\"\n    },\n    {\n      \"term\": \"alpha rhythm\"\n    },\n    {\n      \"term\": \"theta rhythm\"\n    },\n    {\n      \"term\": \"personality\"\n    }\n  ],\n  \"related_identifiers\": [\n    {\n      \"identifier\": \"10.1162/IMAG.a.44\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://github.com/nemarDatasets/on007609\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"https://nemar.org/dataset/on007609\",\n      \"identifier_type\": \"URL\",\n      \"relation_type\": \"IsDescribedBy\"\n    },\n    {\n      \"identifier\": \"10.18112/openneuro.ds007609.v1.0.0\",\n      \"identifier_type\": \"DOI\",\n      \"relation_type\": \"IsDerivedFrom\"\n    }\n  ],\n  \"funding_references\": [\n    {\n      \"funder_name\": \"Social Sciences and Humanities Research Council of Canada (SSHRC)\"\n    },\n    {\n      \"funder_name\": \"Natural Sciences and Engineering Research Council of Canada (NSERC)\"\n    }\n  ],\n  \"resource_type_general\": \"Dataset\",\n  \"resource_type_specific\": \"EEG Dataset\",\n  \"modalities\": [\n    \"eeg\"\n  ],\n  \"sizes\": [\n    \"15.1 GB (209 files)\"\n  ],\n  \"formats\": [\n    \".fdt\",\n    \".json\",\n    \".m\",\n    \".md\",\n    \".set\",\n    \".tsv\",\n    \".yml\"\n  ],\n  \"source_hash\": \"88f0315780939646d7a307d3b3b49603fcaf28e78d5cda5c4689e21dc1b53545\"\n}","last_activity_at":"2026-06-30 15:03:03","source":"openneuro","source_id":"ds007609","subject_count":51,"modalities":"eeg","age_min":17,"age_max":51,"file_size":15072168297,"total_files":531,"tasks":"rest","metadata_columns_error":null,"staleness_warn_stage":null,"staleness_admin_notified_at":null,"authors":"Tamari Shalamberidze, Kyle Nash, Jeremy B. Caplan","license":"CC0","readme":"[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on007609-blue)](https://doi.org/10.82901/nemar.on007609)\n\nResting-State EEG and Trait Anxiety\n====================================\n\nThis dataset contains resting-state EEG recordings from 51 participants,\ncollected as part of a study examining the relationship between resting-state\nEEG alpha/theta power, oscillatory dynamics, and trait anxiety.\n\nParticipants\n------------\n51 right-handed undergraduate students (25 female) from the University of\nAlberta, aged 17-51 years (mean = 20.4, SD = 4.9), participated for course\ncredit.\n\nAuthors\n-------\nTamari Shalamberidze (a), Kyle Nash (a,b), Jeremy B. Caplan (a,b)\n(a) Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada\n(b) Department of Psychology, University of Alberta, Edmonton, AB, Canada\n\nCorresponding Author: Tamari Shalamberidze (shalambe@ualberta.ca)\n\nRelated Publication\n-------------------\nShalamberidze, T., Nash, K., & Caplan, J.B. (2025). Resting-state EEG and\ntrait anxiety. Imaging Neuroscience. https://doi.org/10.1162/IMAG.a.44\n\nRecording\n---------\nEEG was recorded using a 256-channel EGI HydroCel Geodesic Sensor Net\nwith Net Amps amplifier. The original sampling rate was 500 Hz.\nOnline reference was Cz.\n\nParadigm\n--------\nParticipants completed a resting-state protocol consisting of alternating\n1-minute eyes-open (EO) and 1-minute eyes-closed (EC) blocks, repeated\ntwice (EO-EC-EO-EC), for a total of 4 minutes. Transitions between blocks\nwere signaled by an auditory beep.\n\nPreprocessing\n-------------\nData were preprocessed in EEGLAB (MATLAB) with the following steps:\n- Bandpass filter: 0.1-50 Hz\n- Line noise removal: CleanLine at 60 Hz and 120 Hz\n- Channel rejection: kurtosis-based (2x threshold), applied twice\n- Re-referencing to the average\n- ICA decomposition (runica, extended)\n- Artifact component removal via ICLabel (>0.8 probability threshold) + visual inspection\n- Spherical interpolation of removed channels\n\nPhenotype Data\n--------------\nThe phenotype/ directory contains anxiety and personality questionnaire scores:\n- STAI: State-Trait Anxiety Inventory (Spielberger et al., 1983)\n- TIPI: Ten-Item Personality Inventory, emotional stability subscale (Gosling et al., 2003)\n- BIS/FFFS: Behavioural Inhibition Scale and Fight-Flight-Freeze System\n  from the RST-PQ (Corr & Cooper, 2016), with Heym and Jackson factor structures.\n  BIS data are unavailable for the first 5 participants.\n\nEthics\n------\nThis study received ethics approval from the University of Alberta\nResearch Ethics Board. Project Name: \"Physiological Bases of Human Memory\",\nNo. Pro00113334.\n\nFunding\n-------\nPartly supported by the Social Sciences and Humanities Research Council\nin Canada (SSHRC), and the Natural Sciences and Engineering Research\nCouncil of Canada (NSERC).\n\nLicense\n-------\nThis dataset is made available under the Creative Commons Attribution 4.0\nInternational License (CC BY 4.0).\n","bids_version":"1.9.0","sessions_count":null,"publish_date":null,"embedding_dirty":0,"license_tier":"public","zarr_status":"ready","zarr_converted_at":"2026-08-23 02:56:26","zarr_store_count":51,"zarr_index_etag":"8827266efd6849a14b5ac0870f11700f","zarr_source_commit":"ad77868b543ccdcc71878f82ff46d40ab28898e0","archive_status":"ready","archive_size":13657963313,"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":6,"n_channels":256,"electrode_system":"egi-geodesic","has_hed":0,"hed_version":null,"is_exemplar":0,"bytes_present":15071341762,"data_complete":1,"withdrawn_at":null,"withdrawn_reason":null,"archive_complete":null,"archive_absent_files":null,"archive_declared_files":null,"zarr_pool_breaks":null,"total_recording_duration":14606.323999999999,"recording_duration_min":266.064,"recording_duration_max":413.72,"recording_count":51,"recordings_unavailable":0,"recordings_measured":51,"channel_count_min":256,"channel_count_max":256,"sampling_frequency":500,"power_line_frequency":60,"eeg_reference":"Cz","placement_scheme":"HydroCel Geodesic Sensor Net 256","sweep_stamps":"{\"enrichment_updated_at\":\"2026-08-18 23:40:47\",\"metadata_updated_at\":\"2026-08-18 23:41:01\",\"archive_checked_at\":\"2026-06-30 15:22:02\",\"zarr_checked_at\":null,\"records_checked_at\":\"2026-06-30 15:13:18\",\"citations_updated_at\":\"2026-09-08 03:00:50\",\"channel_montage_checked_at\":null,\"hed_checked_at\":null,\"data_checked_at\":\"2026-09-04 03:00:23\",\"availability_report_at\":\"2026-07-23 01:33:09\",\"recording_stats_at\":\"2026-09-02 11:34:04\",\"signal_defaults_at\":\"2026-09-02 12:56:31\"}","participants":51,"num_citations":6,"latest_version":"v1.0.0","zarr_verify_status":null,"zarr_verified_at":null,"owner_username":"nemarAdmin","owner_github":"nemarAdmin","file_size_formatted":"14.04 GB","zarr_data_failures":null,"zarr_index_url":"https://zarr.nemar.org/on007609/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}}