{"success":true,"database":"eegdash","data":{"_id":"6953f4239276ef1ee07a32bc","dataset_id":"ds003078","associated_paper_doi":"10.1126/science.abb0184","authors":["Philippe DOMENECH","Sylvain RHEIMS","Etienne KOECHLIN"],"bids_version":"1.0.0","contact_info":null,"contributing_labs":null,"data_processed":false,"dataset_doi":"10.18112/openneuro.ds003078.v1.0.0","datatypes":["ieeg"],"demographics":{"subjects_count":6,"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/ds003078","osf_url":null,"github_url":null,"paper_url":null},"funding":["European Research Council Grant ERC-AdG #250106","IHU CESAME program “Investissements d’Avenir” ANR-10-IBHU-0003"],"ingestion_fingerprint":"cb48128625413fe4fc5f6a3e6ef27777af7eefd5451eff1cd35556536b39c689","license":"CC0","n_contributing_labs":null,"name":"PROBE iEEG","readme":"--- version 1.0.0 ---\ninitial release\nRaw iEEG data + pre and post surgery MRI\nNo reference to the published study (still in press)","recording_modality":["ieeg"],"senior_author":null,"sessions":[],"size_bytes":11761440749,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["PROBE"],"timestamps":{"digested_at":"2026-05-31T16:12:29.303141+00:00","dataset_created_at":null,"dataset_modified_at":null},"total_files":72,"storage":{"backend":"s3","base":"s3://openneuro.org/ds003078","raw_key":"dataset_description.json","dep_keys":["CHANGES","README"]},"tagger_meta":{"model":"openai/gpt-4o","tagged_at":"2026-06-10T08:19:41Z","source":"eegdash-llm-tagger"},"tags":{"pathology":["Unknown"],"modality":["Unknown"],"type":["Unknown"],"confidence":{"pathology":0.5,"modality":0.5,"type":0.5},"reasoning":{"few_shot_analysis":"The few-shot examples provide conventions for classifying datasets, especially when specific details about tasks or paradigms are not provided. An example is the 'Dataset of EEG recordings of pediatric patients with epilepsy,' where the 'Epilepsy' pathology label was used, aligning with the described clinical focus. The 'Resting State' modality and 'Clinical/Intervention' type were appropriate here given the nature of the dataset. This guides us to focus on available metadata to identify explicit clinical population or task paradigm labels.","metadata_analysis":"The metadata provides limited information, with the dataset title 'PROBE iEEG' and a description mentioning raw iEEG data and pre and post-surgery MRI. There is no explicit reference to specific task paradigms or population, which poses a challenge for detailed classification. The absence of a referenced study in the readme suggests the dataset is potentially focused on clinical settings due to the inclusion of surgery-related data.","paper_abstract_analysis":"No paper abstract is available, which limits our ability to use study-specific goals or findings to guide the classification.","evidence_alignment_check":"1. Pathology: Metadata SAYS nothing explicit about clinical conditions, few-shot SUGGESTS pathology based on context, no ALIGNMENT to override Healthy, so 'Unknown' selected. 2. Modality: Metadata SAYS 'iEEG' related to clinical context, few-shot suggests Unknown due to lack of sensory-specific information, leading to 'Unknown'. 3. Type: Metadata SAYS nothing about cognitive tasks, few-shot suggests clinical due to involvement of surgery, lacks ALIGNMENT for a definite label, results in 'Unknown'.","decision_summary":"Given the lack of detailed metadata and context about participant population, task paradigms, or specific clinical conditions, labeling remains challenging. Pathology is 'Unknown', as there is no explicit clinical focus described. Modality is 'Unknown', as no clear sensory modality or specific task paradigm is stated. Type is 'Unknown', due to the lack of any specific research construct description in the dataset information."}},"nemar_citation_count":1,"computed_title":"PROBE iEEG","nchans_counts":[],"sfreq_counts":[],"stats_computed_at":"2026-05-31T19:34:32.517507+00:00","total_duration_s":null,"author_year":"DOMENECH2020","size_human":"11.0 GB","canonical_name":null,"bad_channels_info":null,"acknowledgements":"We thank Valentin Wyart and Jan Drugowitsch for their help.","ethics_approvals":["The study (DSI-SEEG protocol, NCT02869698) was approved by the Institutional Review Board (ANSM #2009-A00239-48) and National French science ethic committee (CPP 09-CHUG-12, #0907)"],"associated_paper_meta":{"channel":"web_search","confidence":"high","author_overlap":3,"is_oa":false,"oa_status":"closed","source":"paper_resolver","method":"web_search","match_evidence":"Domenech; Rheims; Koechlin"}}}