{"success":true,"database":"eegdash","data":{"_id":"69d16e04897a7725c66f4c56","dataset_id":"ds007609","associated_paper_doi":null,"authors":["Tamari Shalamberidze","Kyle Nash","Jeremy B. Caplan"],"bids_version":"1.9.0","contact_info":["Tamari Shalamberidze"],"contributing_labs":null,"data_processed":true,"dataset_doi":"doi:10.18112/openneuro.ds007609.v1.0.0","datatypes":["eeg"],"demographics":{"subjects_count":51,"ages":[18,17,18,21,18,51,19,21,20,20,19,19,18,18,18,18,19,19,18,20,19,24,20,18,19,19,21,19,19,18,18,19,22,18,19,18,22,26,27,18,18,19,23,19,19,19,20,20,19,30,20],"age_min":17,"age_max":51,"age_mean":20.352941176470587,"species":null,"sex_distribution":{"m":26,"f":25},"handedness_distribution":null},"experimental_modalities":null,"external_links":{"source_url":"https://openneuro.org/datasets/ds007609","osf_url":null,"github_url":null,"paper_url":null},"funding":["Social Sciences and Humanities Research Council of Canada (SSHRC)","Natural Sciences and Engineering Research Council of Canada (NSERC)"],"ingestion_fingerprint":"94ae68118c1acc99d2f566a89381c5c1b9cd1c7f96d1f12a05a923f7ed85d9ce","license":"CC0","n_contributing_labs":null,"name":"Resting-State EEG and Trait Anxiety","readme":"Resting-State EEG and Trait Anxiety\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.\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.\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\nCorresponding Author: Tamari Shalamberidze (shalambe@ualberta.ca)\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\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.\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.\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\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.\nEthics\n------\nThis study received ethics approval from the University of Alberta\nResearch Ethics Board. Project Name: \"Physiological Bases of Human Memory\",\nNo. Pro00113334.\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).\nLicense\n-------\nThis dataset is made available under the Creative Commons Attribution 4.0\nInternational License (CC BY 4.0).","recording_modality":["eeg"],"senior_author":"Jeremy B. Caplan","sessions":[],"size_bytes":7528851369,"source":"openneuro","storage":{"backend":"s3","base":"s3://openneuro.org/ds007609","raw_key":"dataset_description.json","dep_keys":["CHANGES","README","participants.json","participants.tsv","participants_extended.json","participants_extended.tsv","task-rest_eeg.json","task-rest_events.json"]},"study_design":null,"study_domain":null,"tasks":["rest"],"timestamps":{"digested_at":"2026-04-22T12:30:34.032291+00:00","dataset_created_at":"2026-03-31T16:17:30.074Z","dataset_modified_at":"2026-03-31T19:11:06.000Z"},"total_files":51,"computed_title":"Resting-State EEG and Trait Anxiety","nchans_counts":[{"val":256,"count":51}],"sfreq_counts":[{"val":500.0,"count":51}],"stats_computed_at":"2026-04-22T23:16:00.312998+00:00","total_duration_s":14606.224,"tagger_meta":{"config_hash":"3557b68bca409f28","metadata_hash":"01de99171ed3868e","model":"openai/gpt-5.2","tagged_at":"2026-04-07T09:32:40.872789+00:00"},"tags":{"pathology":["Healthy"],"modality":["Resting State"],"type":["Affect"],"confidence":{"pathology":0.7,"modality":0.9,"type":0.75},"reasoning":{"few_shot_analysis":"Closest few-shot match by paradigm is the example \"A Resting-state EEG Dataset for Sleep Deprivation\" (Healthy / Resting State / Resting-state), which establishes the convention that eyes-open/eyes-closed passive blocks are labeled with Modality=Resting State and Type=Resting-state when the paradigm is primarily resting. Another relevant convention is that clinical Pathology labels are only used when participants are explicitly recruited for a disorder (e.g., the Dementia resting-state example); otherwise, general-population/undergraduate samples default to Healthy.","metadata_analysis":"Key facts from metadata: (1) Resting paradigm: \"Participants completed a resting-state protocol consisting of alternating 1-minute eyes-open (EO) and 1-minute eyes-closed (EC) blocks...\" and the task list includes \"tasks\": [\"rest\"]. (2) Population: \"51 right-handed undergraduate students ... participated for course credit.\" (3) Study purpose/construct: \"examining the relationship between resting-state EEG alpha/theta power... and trait anxiety.\" (4) Non-dominant cueing: \"Transitions between blocks were signaled by an auditory beep.\"","paper_abstract_analysis":"No useful paper information (no abstract provided in the supplied metadata; only a citation/link to a 2025 publication).","evidence_alignment_check":"Pathology: Metadata says participants are \"undergraduate students\" with no stated diagnosis; few-shot convention suggests labeling such non-clinical samples as Healthy. ALIGN.\nModality: Metadata explicitly says \"resting-state\" with EO/EC blocks; few-shot resting-state examples map this to Modality=Resting State. The \"auditory beep\" is only a transition cue, not the dominant stimulus stream. ALIGN.\nType: Metadata emphasizes a resting protocol but the primary construct is \"trait anxiety\" (affective/negative affect dimension). Few-shot convention would label pure passive EO/EC as Type=Resting-state; however, the dataset’s stated research purpose centers on an affective trait. Partial TENSION (resting paradigm vs affective aim); resolve by choosing the construct-focused Type=Affect per instructions (Type = research purpose/construct, not mechanics).","decision_summary":"Top-2 Pathology candidates: (1) Healthy — supported by \"undergraduate students\" and no diagnostic recruitment described; aligns with resting-state healthy example convention. (2) Unknown — possible if anxiety implied clinical, but no such claim/diagnosis. Final: Healthy.\nTop-2 Modality candidates: (1) Resting State — supported by \"resting-state protocol\" and \"eyes-open/eyes-closed\" blocks plus task label \"rest\". (2) Auditory — only an \"auditory beep\" cue, not primary stimulation. Final: Resting State.\nTop-2 Type candidates: (1) Affect — supported by explicit aim: \"relationship between ... and trait anxiety\" and presence of anxiety questionnaires (\"STAI\"). (2) Resting-state — supported by passive EO/EC protocol. Final: Affect, because Type should reflect the primary construct studied (trait anxiety) rather than the mechanics of the resting protocol.\nConfidence justification: Modality has 3+ explicit supporting quotes/features (resting-state; EO/EC; task=rest) and strong few-shot analog → high confidence. Type has 2 explicit construct cues (trait anxiety aim; STAI) but competing resting-state interpretation → moderate confidence. Pathology has indirect evidence (undergraduate sample; no diagnosis stated) but not an explicit \"healthy\" screening statement → moderate confidence."}},"canonical_name":null,"name_confidence":0.78,"name_meta":{"suggested_at":"2026-04-14T10:18:35.343Z","model":"openai/gpt-5.2 + openai/gpt-5.4-mini + deterministic_fallback"},"name_source":"author_year","author_year":"Shalamberidze2026"}}