{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a3407","dataset_id":"ds005620","associated_paper_doi":null,"authors":["Imad J. Bajwa1","Andre S. Nilsen1","René Skukies1,3","Arnfinn Aamodt1","Gernot Ernst2","Johan F. Storm1","Bjørn E. Juel1,2"],"bids_version":"1.7.0","contact_info":["Imad J Bajwa"],"contributing_labs":null,"data_processed":false,"dataset_doi":"doi:10.18112/openneuro.ds005620.v1.0.0","datatypes":["eeg"],"demographics":{"subjects_count":21,"ages":[25,26,21,24,30,27,29,24,27,25,19,26,26,26,21,27,27],"age_min":19,"age_max":30,"age_mean":25.294117647058822,"species":null,"sex_distribution":{"f":12,"m":8},"handedness_distribution":null},"experimental_modalities":null,"external_links":{"source_url":"https://openneuro.org/datasets/ds005620","osf_url":null,"github_url":null,"paper_url":null},"funding":[],"ingestion_fingerprint":"82e9221b221754215c9ecbd4dba06711a051e25004d5957f5c206a23a3bd3ea4","license":"CC0","n_contributing_labs":null,"name":"A repeated awakening study exploring the capacity of complexity measures to capture dreaming during propofol sedation","readme":"# A Repeated Awakening Study Exploring the Capacity of Complexity Measures to Capture Dreaming During Propofol Sedation\n## Description\nThis dataset contains EEG data from a study investigating the effects of propofol sedation on dreaming and the applicability of complexity measures in capturing this phenomenon. The study aims to understand the dynamics of consciousness during sedation and the potential for EEG complexity measures to reflect subjective experiences.\n## Authors\n- Imad J. Bajwa\n- Andre S. Nilsen\n- René Skukies\n- Arnfinn Aamodt\n- Gernot Ernst\n- Johan F. Storm\n- Bjørn E. Juel\n## Ethics Statement\nApproved by the Regional Committees for Medical Research Ethics South East Norway (REK), ref. 2015/1520.\n## License\nThis dataset is licensed under CC-BY-4.0.\n## File Structure\nThe dataset is organized by subject, with each subject's EEG files stored in a dedicated directory. Below is the structure for the EEG data associated with a sample subject (sub-1016).\n### Directory Structure\n```\n/Volumes/IMADS SSD/Anesthesia_conciousness_paper/project_BIDS/\n└── sub-1016/\n    └── eeg/\n        ├── sub-1016_task-awake_acq-EC_channels.tsv\n        ├── sub-1016_task-awake_acq-EC_eeg.eeg\n        ├── sub-1016_task-awake_acq-EC_eeg.json\n        ├── sub-1016_task-awake_acq-EC_eeg.vhdr\n        ├── sub-1016_task-awake_acq-EC_eeg.vmrk\n        ├── sub-1016_task-awake_acq-EC_events.json\n        ├── sub-1016_task-awake_acq-EC_events.tsv\n        ├── ...\n```\n### File Naming Convention\nEEG files are named in the format:\n`sub-<subject_id>_task-<task_name>_acq-<acquisition>_run-<run_number>.<extension>`\n### Example Filenames\n- `sub-1016_task-awake_acq-EC_channels.tsv`\n- `sub-1016_task-sed_acq-rest_run-1_eeg.eeg`\n### Filename Components\n- **sub-<subject_id>**: Identifier for the subject (e.g., `sub-1016`).\n- **task-<task_name>**: Indicates the task condition:\n  - `awake`: Wakefulness\n  - `sed`: Sedation condition\n  - `sed2`: One-minute resting EEG recorded just before an awakening\n- **acq-<acquisition>**: Type of acquisition:\n  - `EC`: Eyes Closed (during wakefulness)\n  - `EO`: Eyes Open (during wakefulness)\n  - `tms`: Session with Transcranial Magnetic Stimulation\n  - `rest`: Rest condition (during sedation)\n- **run-<run_number>**: Specifies the run number for the data collection:\n  - `run-1`, `run-2`, `run-3` (indicating different awakenings in sedation)\n- **.<extension>**: File extension indicating the type of file (e.g., `.eeg`, `.vhdr`, `.vmrk`, etc.).\n### File Types\n- **.eeg**: Raw EEG data.\n- **.vhdr**: BrainVision header file.\n- **.vmrk**: BrainVision marker file.\n- **_events.json / _events.tsv**: Event markers.\n- **_channels.tsv / _eeg.json**: Channel information and metadata.\n## Usage Instructions\nTo analyze the data, you may need software such as Python with MNE-Python. Please refer to the MNE documentation for details on how to load and manipulate the datasets.\n## Contact Information\nFor questions regarding this dataset, please contact:\nImad J. Bajwa\nEmail: imadjb@uio.no\nBjørn E. Juel\nEmail: Bjorneju@gmail.com\n## Acknowledgements\nWe thank the participants and the supporting research staff for their contributions to this study.\nReferences\n----------\nAppelhoff, S., Sanderson, M., Brooks, T., Vliet, M., Quentin, R., Holdgraf, C., Chaumon, M., Mikulan, E., Tavabi, K., Höchenberger, 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\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","recording_modality":["eeg"],"senior_author":"Bjørn E. Juel1,2","sessions":[],"size_bytes":83002662733,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["awake","sed","sed2"],"timestamps":{"digested_at":"2026-04-22T12:28:38.734526+00:00","dataset_created_at":"2024-11-06T12:16:47.733Z","dataset_modified_at":"2024-11-06T16:30:52.000Z"},"total_files":202,"storage":{"backend":"s3","base":"s3://openneuro.org/ds005620","raw_key":"dataset_description.json","dep_keys":["CHANGES","README.txt","participants.json","participants.tsv"]},"tagger_meta":{"config_hash":"4a051be509a0e3d0","metadata_hash":"552a253933303d1b","model":"openai/gpt-5.2","tagged_at":"2026-01-20T18:32:18.698365+00:00"},"tags":{"pathology":["Healthy"],"modality":["Anesthesia"],"type":["Clinical/Intervention"],"confidence":{"pathology":0.6,"modality":0.85,"type":0.8},"reasoning":{"few_shot_analysis":"No few-shot example is explicitly about anesthesia/propofol sedation. Closest convention matches are: (1) the dementia resting-state dataset labeled Type=Clinical/Intervention when the dataset is collected in a clinical/diagnostic context and the primary goal is condition-related characterization; and (2) the intraoperative stimulation dataset labeled Pathology=Surgery and Type=Other, showing that when recordings are collected under medical procedures/interventions, the catalog tends to represent this as a clinical/intervention-focused dataset rather than a basic cognitive task type. By convention, an intervention like propofol sedation (manipulation of consciousness level) fits Type=Clinical/Intervention and Modality=Anesthesia.","metadata_analysis":"Key metadata facts:\n1) Intervention/context: \"effects of propofol sedation on dreaming\" and title \"Dreaming During Propofol Sedation\" explicitly indicate anesthesia/sedation.\n2) Purpose/construct: \"investigating the effects of propofol sedation on dreaming\" and \"understand the dynamics of consciousness during sedation\" indicate a consciousness-under-sedation intervention study rather than a standard cognitive paradigm.\n3) Task structure supports sedation/rest conditions: task labels include \"task-sed\" (\"Sedation condition\"), and acquisition includes \"rest\" described as \"Rest condition (during sedation)\"; also \"sed2\" is \"One-minute resting EEG recorded just before an awakening\".\n4) Population: participants are mentioned only generically (\"We thank the participants\"), with no explicit clinical diagnosis or patient group specified.","paper_abstract_analysis":"No useful paper information.","evidence_alignment_check":"Pathology:\n- Metadata says: only generic \"participants\" (e.g., \"We thank the participants\"), with no explicit disorder/patient recruitment described.\n- Few-shot pattern suggests: absent an explicitly named clinical population, label as Healthy (normative cohort) per catalog convention.\n- Alignment: PARTIAL (metadata is silent; few-shot provides a convention). Decision relies on contextual inference.\n\nModality:\n- Metadata says: \"propofol sedation\"; also conditions include \"Sedation condition\" (task-sed) and \"Rest condition (during sedation)\" (acq-rest).\n- Few-shot pattern suggests: when the dominant experimental manipulation is anesthesia/sedation state, use Modality=Anesthesia (allowed label).\n- Alignment: ALIGN.\n\nType:\n- Metadata says: study is \"investigating the effects of propofol sedation on dreaming\" and aims to \"understand the dynamics of consciousness during sedation\" and evaluate \"complexity measures\" under this intervention.\n- Few-shot pattern suggests: intervention/clinical physiology focus (e.g., clinical cohorts or medical-procedure contexts) map to Type=Clinical/Intervention.\n- Alignment: ALIGN.","decision_summary":"Pathology (top-2):\n1) Healthy (selected): No disorder is stated; recruitment appears to be non-diagnostic, with generic \"participants\" only. This follows the catalog convention that non-clinical cohorts default to Healthy when no pathology is specified.\n2) Unknown (runner-up): Because the metadata does not explicitly state \"healthy volunteers\" or exclusion criteria, pathology cannot be confirmed.\nAlignment status: PARTIAL (metadata silent; convention used).\n\nModality (top-2):\n1) Anesthesia (selected): Strong explicit evidence: \"propofol sedation\"; \"Sedation condition\"; \"Rest condition (during sedation)\".\n2) Resting State (runner-up): There are resting EEG segments (e.g., \"One-minute resting EEG\"), but these are nested within sedation/anesthesia manipulation.\nAlignment status: ALIGN.\n\nType (top-2):\n1) Clinical/Intervention (selected): Primary goal is effects of propofol sedation on dreaming/consciousness and evaluating EEG complexity measures under this intervention (\"effects of propofol sedation on dreaming\"; \"dynamics of consciousness during sedation\").\n2) Other (runner-up): Could be framed as consciousness/dream phenomenology/complexity-methods rather than a standard cognitive domain, but the clear pharmacological intervention makes Clinical/Intervention a better fit.\nAlignment status: ALIGN.\n\nConfidence justifications:\n- Pathology=Healthy at 0.6 because it is inferred from lack of any stated diagnosis (no explicit quote stating healthy), with ambiguity remaining.\n- Modality=Anesthesia at 0.85 supported by multiple explicit phrases: \"propofol sedation\"; \"Sedation condition\"; \"Rest condition (during sedation)\".\n- Type=Clinical/Intervention at 0.8 supported by explicit aim statements: \"investigating the effects of propofol sedation\" and \"dynamics of consciousness during sedation\" plus intervention framing."}},"nemar_citation_count":0,"computed_title":"A repeated awakening study exploring the capacity of complexity measures to capture dreaming during propofol sedation","nchans_counts":[{"val":64,"count":132},{"val":65,"count":70}],"sfreq_counts":[{"val":5000.0,"count":202}],"stats_computed_at":"2026-04-22T23:16:00.310690+00:00","total_duration_s":64582.9828,"author_year":"Bajwa2024","canonical_name":null}}