{"success":true,"database":"eegdash","data":{"_id":"69a33a3c897a7725c66f3ef0","dataset_id":"ds007454","associated_paper_doi":null,"authors":["[Unspecified]"],"bids_version":"1.7.0","contact_info":null,"contributing_labs":null,"data_processed":false,"dataset_doi":"doi:10.18112/openneuro.ds007454.v1.0.1","datatypes":["eeg"],"demographics":{"subjects_count":42,"ages":[],"age_min":null,"age_max":null,"age_mean":null,"species":null,"sex_distribution":null,"handedness_distribution":null},"experimental_modalities":null,"external_links":{"source_url":"https://openneuro.org/datasets/ds007454","osf_url":null,"github_url":null,"paper_url":null},"funding":[],"ingestion_fingerprint":"abc0a24d2aa5b942ff85751b8234508c660cecb76996cbe80149f913c478c48c","license":"CC0","n_contributing_labs":null,"name":"A common neural mechanism underlies experiences of passage of time","readme":"# Raw data for the study 'A common neural mechanism underlies experiences of passage of time'\nThis repository contains the BIDS-formatted dataset generated from EEG and behavioral data.\n## Dataset Structure\n```\nbids_dataset\n├── sub-XXX\n│   ├── eeg\n│   └── sub-XXX_scans.tsv\n├── dataset_description.json\n├── participants.json\n├── participants.tsv\n├── README.md\n└── CHANGES.txt\n├── sourcedata\n│   └── sub-XXX\n```\nReferences: Appelhoff, 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.01896Pernet, 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":null,"sessions":[],"size_bytes":31813167023,"source":"openneuro","storage":{"backend":"s3","base":"s3://openneuro.org/ds007454","raw_key":"dataset_description.json","dep_keys":["CHANGES","README","participants.json","participants.tsv"]},"study_design":null,"study_domain":null,"tasks":["Starfield"],"timestamps":{"digested_at":"2026-05-31T16:29:08.963863+00:00","dataset_created_at":null,"dataset_modified_at":null},"total_files":42,"computed_title":"A common neural mechanism underlies experiences of passage of time","nchans_counts":[{"val":64,"count":42}],"sfreq_counts":[{"val":1000.0,"count":42}],"stats_computed_at":"2026-05-10T19:09:03.501183+00:00","total_duration_s":133751.378,"tagger_meta":{"model":"gpt-6-sol","taxonomy":"v2","config_hash":"39931253008fe2df","tagged_at":"2026-10-06T13:13:11Z","source":"eegdash-llm-tagger"},"tags":{"pathology":["Healthy"],"modality":["Visual"],"type":["Perception"],"confidence":{"pathology":0.6,"modality":0.6,"type":0.7},"reasoning":{"few_shot_analysis":"The Meta-rdk example maps a visual task focused on perceptual experience to Perception, even though participants make responses. It is the closest construct-level analogy, but the present metadata does not describe its stimuli or responses. The healthy-participant examples show the convention for studies with no disorder focus; they do not establish this dataset's recruitment facts.","metadata_analysis":"The title states \"A common neural mechanism underlies experiences of passage of time,\" supporting a focus on subjective time experience. The listed task is \"Starfield,\" which suggests, but does not establish, visual presentation. \"Subjects: 42\" gives a count but no diagnoses, recruitment criteria, stimuli, or task instructions.","paper_abstract_analysis":"No useful paper information.","evidence_alignment_check":"Pathology: Metadata says \"Subjects: 42\" and names no condition. Few-shot normative-cohort examples suggest Healthy; these align only by absence of a stated disorder, not by explicit recruitment evidence. Modality: Metadata names the task \"Starfield\" but does not say how stimuli were delivered. Visual is a contextual inference; no few-shot example establishes Starfield's sensory channel, so there is no demonstrated conflict or firm alignment. Type: Metadata says \"experiences of passage of time.\" The Meta-rdk example suggests labeling a study of perceptual experience Perception rather than labeling it by possible response mechanics. These align at the construct level, although this dataset's paradigm is undescribed.","decision_summary":"Pathology—Healthy versus Unknown: no clinical condition is named, favoring Healthy under the normative-cohort convention, but \"Subjects: 42\" does not confirm health (confidence 0.6). Modality—Visual versus Unknown: \"Starfield\" favors a visual-task inference, but no stimulus description confirms it (confidence 0.6). Type—Perception versus Decision-making: \"experiences of passage of time\" supports temporal perception; nothing mentions choice policy or value-based decisions (confidence 0.7). No metadata fact was overridden by a few-shot pattern."}},"canonical_name":null,"name_confidence":0.55,"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":"DS7454_TimePerception","bad_channels_info":null,"associated_paper_meta":null}}