{"success":true,"database":"eegdash","data":{"_id":"6953f4249276ef1ee07a3449","dataset_id":"ds006392","associated_paper_doi":null,"authors":["Tal Pal Attia","Kay Robbins","Dora Hermes"],"bids_version":"1.9.0","contact_info":["Dora Hermes"],"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":{"source_url":"https://openneuro.org/datasets/ds006392","osf_url":null,"github_url":null,"paper_url":null},"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":"Dora Hermes","sessions":["ieeg01"],"size_bytes":33603727,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["photicstim"],"timestamps":{"digested_at":"2026-04-21T23:09:33.446577+00:00","dataset_created_at":"2025-06-25T20:49:36.890Z","dataset_modified_at":"2025-06-25T20:57:50.000Z"},"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":{"config_hash":"3557b68bca409f28","metadata_hash":"936344edc25a1906","model":"openai/gpt-5.2","tagged_at":"2026-04-07T09:32:40.872789+00:00"},"tags":{"pathology":["Unknown"],"modality":["Visual"],"type":["Perception"],"confidence":{"pathology":0.55,"modality":0.9,"type":0.7},"reasoning":{"few_shot_analysis":"Closest few-shot by stimulus/paradigm is the visual discrimination task example (Meta-rdk), which maps a visually presented stimulus-driven task to Modality=Visual and Type=Perception. For clinical population conventions, the epilepsy pediatric HFO example shows that Pathology should only be set to Epilepsy when epilepsy is explicitly stated; otherwise, avoid over-inference from a clinical recording context.","metadata_analysis":"Key metadata indicates this is an intracranial EEG example dataset with visual (photic) stimulation, but does not explicitly state a diagnosis: (1) \"This BIDS example dataset includes iEEG data from one subject that were measured during clinical photic stimulation.\" (2) \"Intracranial EEG data were collected at Mayo Clinic Rochester, MN\" (3) Task listing: \"tasks\": [\"photicstim\"]. Title also frames it as an annotation example: \"HED schema library for SCORE annotations example\".","paper_abstract_analysis":"No useful paper information. The only referenced preprint is about the HED schema library for EEG annotation, not about the participant diagnosis or a cognitive/clinical study aim for this specific subject.","evidence_alignment_check":"Pathology: Metadata says only \"iEEG data from one subject\" and \"clinical photic stimulation\" with no named disorder/diagnosis. Few-shot pattern suggests clinical iEEG often involves epilepsy, but this is not explicitly stated here. ALIGNMENT: partial conflict/ambiguity (clinical context suggests epilepsy, but metadata lacks explicit diagnosis) → choose Unknown per instruction to prioritize explicit facts.\nModality: Metadata says \"photic stimulation\" and task \"photicstim\". Few-shot visual tasks map to Modality=Visual. ALIGNMENT: aligns strongly.\nType: Metadata describes sensory stimulation (\"photic stimulation\") without an explicit cognitive construct; few-shot visual sensory paradigms are labeled Perception. ALIGNMENT: generally aligns (stimulus-driven sensory paradigm), though the clinical-procedure framing adds some ambiguity vs Clinical/Intervention.","decision_summary":"Top-2 candidates per category:\n- Pathology: (1) Unknown — supported by lack of explicit diagnosis (\"iEEG data from one subject\"; no epilepsy/other disorder named). (2) Epilepsy — plausible inference from \"intracranial EEG\" in a \"clinical\" setting with photic stimulation, but not explicitly stated. Decision: Unknown (metadata does not name a recruited clinical condition).\n- Modality: (1) Visual — supported by \"clinical photic stimulation\", task \"photicstim\", and photic stimulation being visual input. (2) Other — if considering SCORE annotation example rather than a stimulus modality, but the task clearly is photic. Decision: Visual.\n- Type: (1) Perception — photic stimulation is a sensory/evoked-stimulation paradigm (visual input), consistent with few-shot visual stimulus tasks. (2) Clinical/Intervention — because it is described as \"clinical\" iEEG, but the dataset focus is not a clinical cohort/outcome study. Decision: Perception.\nConfidence notes: Modality has 3 supporting metadata cues (title/task/readme) plus strong few-shot analog. Pathology remains uncertain due to missing diagnosis text."}},"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":"2026-04-21T23:17:03.732920+00:00","total_duration_s":865.234375,"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"}}