{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a3449","dataset_id":"ds006392","associated_paper_doi":"10.1038/s41597-025-05791-2","authors":["Tal Pal Attia","Kay Robbins","Dora Hermes"],"bids_version":"1.9.0","contact_info":null,"contributing_labs":null,"data_processed":false,"dataset_doi":"doi:10.18112/openneuro.ds006392.v1.0.1","datatypes":["ieeg"],"demographics":{"subjects_count":1,"ages":[],"age_min":null,"age_max":null,"age_mean":null,"species":null,"sex_distribution":null,"handedness_distribution":null},"experimental_modalities":null,"external_links":{"paper_url":"https://www.nature.com/articles/s41597-025-05791-2.pdf"},"funding":["National Institute of Health Grant R01MH126700 (SM)","National Institute of Health Grant R01MH122258 (DH)"],"ingestion_fingerprint":"8c751c177923ad86c8d65da2d54ce8c7094d1c3dc694968c18cc876f8811afac","license":"CC0","n_contributing_labs":null,"name":"HED schema library for SCORE annotations example","readme":"# BIDS example with HED-SCORE schema library annotations\nThe HED schema library for the Standardized Computer-based Organized Reporting of EEG (SCORE) can be used to add annotations for BIDS datasets. The annotations are machine readable and validated with the BIDS and HED validators.\nThis example is related to the following preprint:\nDora Hermes, Tal Pal Attia, Sándor Beniczky, Jorge Bosch-Bayard, Arnaud Delorme, Brian Nils Lundstrom, Christine Rogers, Stefan Rampp, Seyed Yahya Shirazi, Dung Truong, Pedro Valdes-Sosa, Greg Worrell, Scott Makeig, Kay Robbins. Hierarchical Event Descriptor library schema for EEG data annotation. arXiv preprint arXiv:2310.15173. 2024 Oct 27.\n# General information\nThis BIDS example dataset includes iEEG data from one subject that were measured during clinical photic stimulation. Intracranial EEG data were collected at Mayo Clinic Rochester, MN under IRB#: 15-006530.\n# Events\nThe events are annotated according to the HED-SCORE schema library. Data are annotated by adding a column for annotations in the _events.tsv. The levels and annotations in this column are defined in the _events.json sidecar as HED tags.\n# More information\nHED: https://www.hedtags.org/\nHED schema library for SCORE: https://github.com/hed-standard/hed-schema-library\n# Contact\nDora Hermes: hermes.dora@mayo.edu","recording_modality":["ieeg"],"senior_author":null,"sessions":["ieeg01"],"size_bytes":34019625,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["photicstim"],"timestamps":{"digested_at":"2026-05-31T16:24:20.387291+00:00","dataset_created_at":null,"dataset_modified_at":null},"total_files":1,"storage":{"backend":"s3","base":"s3://openneuro.org/ds006392","raw_key":"dataset_description.json","dep_keys":["CHANGES","README","participants.json","participants.tsv"]},"tagger_meta":{"model":"openai/gpt-4o","tagged_at":"2026-06-10T08:19:41Z","source":"eegdash-llm-tagger"},"tags":{"pathology":["Other"],"modality":["Visual"],"type":["Clinical/Intervention"],"confidence":{"pathology":0.7,"modality":0.8,"type":0.7},"reasoning":{"few_shot_analysis":"There is no direct few-shot example with a corresponding clinical population or task paradigm that matches the current dataset, which involves iEEG data during clinical photic stimulation. However, few-shot examples do provide guidance on the classification of datasets on the basis of their experimental paradigms, sensory modalities, and clinical settings. For instance, the example involving Parkinson's showing a Clinical/Intervention type due to the explicit clinical focus can help to guide interpretation here, emphasizing the role of the documented clinical photic stimulation.","metadata_analysis":"The metadata provided clearly paints a clinical picture centered around 'iEEG data from one subject that were measured during clinical photic stimulation' indicating a specific clinical procedure. The inclusion of hierarchical event descriptors further underscores the experimental/clinical detailing. Moreover, the dataset mention of 'Intracranial EEG data were collected at Mayo Clinic Rochester, MN under IRB#: 15-006530' emphasizes a clinical context for data collection.","paper_abstract_analysis":"No specific abstract was provided outside of high-level dataset background, focusing on the annotation schema (HED).","evidence_alignment_check":"1. **Pathology**: Metadata indicates a clinical setting ('clinical photic stimulation'), suggesting procedure context but does not explicitly state pathology, leaning towards 'Other'. Few-shot didn't align but stressed clinical settings. ALIGNED. 2. **Modality**: Metadata specifies 'photic stimulation', indicating 'Visual'. Few-shot is consistent with stimuli-centric categorizations. ALIGNED. 3. **Type**: While the metadata emphasizes a clinical context, it lacks explicit mention of intervention goals or patient outcomes, suggesting 'Clinical/Intervention' by implied clinical setting. ALIGNED.","decision_summary":"Top-2 Candidates: Pathology: 'Other', 'Unknown'. Modality: 'Visual', 'Unknown'. Type: 'Clinical/Intervention', 'Unknown'. Metadata aligns better with 'Other' for Pathology due to the clinical collection without explicit disease context, 'Visual' for Modality as dictated by photic stimuli, and 'Clinical/Intervention' for Type given the primary clinical setting focus."}},"computed_title":"HED schema library for SCORE annotations example","nchans_counts":[{"val":166,"count":1}],"sfreq_counts":[{"val":512.0,"count":1}],"stats_computed_at":"2026-05-31T19:34:32.602511+00:00","total_duration_s":191.40625,"canonical_name":null,"name_confidence":0.62,"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":"Attia2025","bad_channels_info":null,"acknowledgements":"Kay Robbins, Dung Truong, Arnaud Delorme, and Scott Makeig","references_and_links":["https://github.com/hed-standard/hed-schema-library","https://www.hedtags.org/","Robbins, Kay, Dung Truong, Stefan Appelhoff, Arnaud Delorme, and Scott Makeig. 'Capturing the nature of events and event context using Hierarchical Event Descriptors (HED).' NeuroImage 245 (2021): 118766.","Robbins, Kay, Dung Truong, Alexander Jones, Ian Callanan, and Scott Makeig. 'Building FAIR functionality: Annotating events in time series data using Hierarchical Event Descriptors (HED).' Neuroinformatics (2021): 1-19."],"associated_paper_meta":{"channel":"crossref-biblio","confidence":"high","author_overlap":3,"is_oa":true,"oa_status":"gold","source":"paper_resolver"}}}