{"success":true,"database":"eegdash","data":{"_id":"6953f4239276ef1ee07a32e9","dataset_id":"ds003708","associated_paper_doi":null,"authors":["Dora Hermes","Gabriella Ojeda","Kai J. Miller","Multimodal Neuroimaging Laboratory at Mayo Clinic"],"bids_version":"v 1.3.0","contact_info":["Dora Hermes"],"contributing_labs":null,"data_processed":false,"dataset_doi":"10.18112/openneuro.ds003708.v1.0.0","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/ds003708","osf_url":null,"github_url":null,"paper_url":null},"funding":["R01 MH122258 CRCNS: Processing speed in the human connectome across the lifespan"],"ingestion_fingerprint":"699a41a01c9827b0a307ac29c0a0aaad321b603995afe45d4782309ddc1370f5","license":"CC0","n_contributing_labs":null,"name":"Basis profile curve identification to understand electrical stimulation effects in human brain networks","readme":"--------\nThis dataset contains intracranial EEG recordings from one patient during single pulse electrical stimulation. These data were recorded at the Mayo Clinic in Rochester, MN, as part of the NIH Brain Initiative supported project R01 MH122258 \"CRCNS: Processing speed in the human connectome across the lifespan\".\nThe overarching goal of this project is to develop a large database of single pulse stimulation data and develop tools to advance our understanding of the human connectome across the lifespan.\nCiting this dataset\n-------------------\nThis dataset is part of the paper on 'Basis profile curve identification to understand electrical stimulation effects in human brain networks' by Miller, Mueller and Hermes, 2021, https://www.biorxiv.org/content/10.1101/2021.01.24.428020v1.full. This project was funded by the National Institute Of Mental Health of the National Institutes of Health under Award Number R01MH122258 to Dora Hermes (Mayo Clinic). The data was collected by Dora Hermes, Nick Gregg, Brian Lundstrom, Cindy Nelson, Gregg Worrell and Kai J. Miller. The BIDS formatting was performed by Dora Hermes and Gabriella Ojeda Valencia.\nFormat\n------\nIt is formatted according to BIDS version 1.3.0\nDetails about the single pulse stimulation experiment\n----------------------------\nPatients were resting in the hospital bed, while single pulse stimulation was performed with a frequency of ~0.2 Hz. The stimulation had a duration of 200 microseconds, was biphasic and had an amplitude of 6mA. On the motor cortex stimulation amplitude was sometimes reduced to 1 or 2mA to minimize movement artifacts.\nContact\n----------------------------\nPlease contact Dora Hermes (hermes.dora@mayo.edu) for questions.","recording_modality":["ieeg"],"senior_author":"Multimodal Neuroimaging Laboratory at Mayo Clinic","sessions":["ieeg01"],"size_bytes":650274380,"source":"openneuro","study_design":null,"study_domain":null,"tasks":["ccep"],"timestamps":{"digested_at":"2026-04-21T23:06:14.532523+00:00","dataset_created_at":"2021-06-23T18:46:01.816Z","dataset_modified_at":"2023-08-10T13:27:02.000Z"},"total_files":1,"storage":{"backend":"s3","base":"s3://openneuro.org/ds003708","raw_key":"dataset_description.json","dep_keys":["CHANGES","README","participants.tsv","task-ccep_events.json"]},"tagger_meta":{"config_hash":"3557b68bca409f28","metadata_hash":"b9f461ecefc61703","model":"openai/gpt-5.2","tagged_at":"2026-04-07T09:32:40.872789+00:00"},"tags":{"pathology":["Unknown"],"modality":["Other"],"type":["Clinical/Intervention"],"confidence":{"pathology":0.6,"modality":0.85,"type":0.85},"reasoning":{"few_shot_analysis":"Closest few-shot by *study setting and clinical/invasive nature* is the pediatric epilepsy HFO dataset (Pathology=Epilepsy; Modality=Resting State/Sleep; Type=Clinical/Intervention), which shows the convention that datasets centered on patient recordings aimed at biomarkers/clinical neurophysiology are labeled as Clinical/Intervention rather than cognitive constructs. However, unlike that example, this dataset’s metadata does not explicitly name a diagnosis (e.g., epilepsy), so the few-shot mainly guides the *Type* convention (clinical neurophysiology/stimulation mapping -> Clinical/Intervention) rather than Pathology.","metadata_analysis":"Key facts from metadata:\n1) Population/setting: \"This dataset contains intracranial EEG recordings from one patient\" and \"Patients were resting in the hospital bed\".\n2) Paradigm/intervention: \"during single pulse electrical stimulation\" and \"single pulse stimulation was performed with a frequency of ~0.2 Hz\".\n3) Stimulation parameters indicate an intervention rather than sensory stimulus: \"duration of 200 microseconds, was biphasic and had an amplitude of 6mA\"; additionally \"On the motor cortex stimulation amplitude was sometimes reduced... to minimize movement artifacts.\"","paper_abstract_analysis":"No useful paper information. (Only a link to a bioRxiv manuscript is provided; no abstract text included in the metadata.)","evidence_alignment_check":"Pathology:\n- Metadata says: \"intracranial EEG recordings from one patient\" but provides no diagnosis (no mention of epilepsy, tumor, Parkinson’s, etc.).\n- Few-shot pattern suggests: intracranial clinical datasets often map to a clinical pathology label (e.g., Epilepsy) when explicitly stated.\n- Alignment: CONFLICT/INSUFFICIENT FACTS (few-shot suggests a likely clinical context, but metadata lacks an explicit recruiting diagnosis). Per override rule, we cannot assert epilepsy without explicit mention.\n\nModality:\n- Metadata says: \"single pulse electrical stimulation\"; no auditory/visual/tactile stimulus is described.\n- Few-shot pattern suggests: when the primary input is not a classic sensory stimulus (e.g., direct stimulation), use Modality=Other.\n- Alignment: ALIGN.\n\nType:\n- Metadata says: goal is \"understand electrical stimulation effects in human brain networks\" and describes an intervention protocol (single-pulse stimulation) while resting.\n- Few-shot pattern suggests: clinically oriented recordings/interventions (including stimulation mapping/biomarker-style datasets) map to Type=Clinical/Intervention rather than Resting-state (even if participants are resting).\n- Alignment: ALIGN (resting is the state, but the research purpose is stimulation/clinical neurophysiology).","decision_summary":"Top-2 candidates and decision:\n\nPathology:\n1) Unknown — Evidence: metadata only states \"intracranial EEG recordings from one patient\" with no diagnosis named.\n2) Surgery — Evidence: intracranial EEG and in-hospital stimulation implies an implanted patient; however this is an inference, not explicitly stated.\nWinner: Unknown. Justification: no explicit recruiting pathology in the metadata; cannot label Epilepsy/Surgery with high confidence.\nConfidence justification: limited to absence-of-diagnosis evidence (one explicit quote about \"one patient\" but no condition).\n\nModality:\n1) Other — Evidence: \"single pulse electrical stimulation\"; stimulation parameters (\"6mA\", \"biphasic\") indicate direct electrical intervention rather than sensory stimulus.\n2) Resting State — Evidence: \"Patients were resting in the hospital bed\" but this describes participant state, not stimulus modality.\nWinner: Other. Confidence justification: multiple explicit stimulation quotes.\n\nType:\n1) Clinical/Intervention — Evidence: focus on \"electrical stimulation effects\" with a defined stimulation protocol (frequency/duration/amplitude), consistent with clinical neurophysiology/mapping.\n2) Resting-state — Evidence: \"Patients were resting\" could suggest resting, but the protocol is not passive/no-task; it is stimulation-evoked.\nWinner: Clinical/Intervention. Confidence justification: explicit intervention aim + protocol description (multiple quotes)."}},"nemar_citation_count":1,"computed_title":"Basis profile curve identification to understand electrical stimulation effects in human brain networks","nchans_counts":[{"val":89,"count":1}],"sfreq_counts":[{"val":2048.0,"count":1}],"stats_computed_at":"2026-04-21T23:17:03.700251+00:00","total_duration_s":3977.06982421875,"canonical_name":null,"name_confidence":0.64,"name_meta":{"suggested_at":"2026-04-14T10:18:35.342Z","model":"openai/gpt-5.2 + openai/gpt-5.4-mini + deterministic_fallback"},"name_source":"author_year","author_year":"Hermes2021"}}