De-identified UNMH EEG Corpus Database Creation With Fully De-identified Clinical Information

NCT05140265 | Recruiting

• 1 other identifier: 21-351
• Study Type: observational
• Target: 20,000
• Locations: 1 country
• Sites: 1

Brief Summary

This proposal outlines the steps required for the creation of a pilot database of EEG recordings and de-identified medical records from patients internally referred within the UNMH Comprehensive Epilepsy Center. The UNMH EEG Corpus would be the first database of its kind. Other public databases contain either patient EEG signals or medical records, but without both kinds of information, it is impossible to relate pre-treatment neurobiomarkers with post-treatment prognosis. The database will also contain information that can improve seizure localization based off of scalp and intracranial EEG, and the requisite data for the creation of algorithms that forecast seizure activity; a development that could ultimately lead to novel responsive neural stimulation procedures that suppress seizures before they begin.

Conditions

Epilepsy; Status Epilepticus; Seizures

Outcome Measures

Primary Outcomes (1)

• UNMH EEG Corpus

  Fully de-identified database creation matching between EEG and clinical data for adult patients of 18 years or older who underwent EEG study at UNMH from 2007 till 2027

  2007-2027

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Patients of18 years old or older who has had EEG done at University of New Mexico with Nihon Kohden Neuroworkbench from 2007 till 2027.

You may not qualify if:

• years old or older. If the patient's age is over 89, we will aggregated them to age 90 or older so that the patient cannot be identified. Also, all the EEG data will be de-identified and only show the year of the study performed instead of the exact study date to reduce the risk of identification. Of note, we perform over few thousands of EEG studies per year and it will be almost impossible to identify the patient based on the study year.
• Children under age of 18 years old will be excluded.
• Mismatched patients between EEG database and EMR

Sponsors & Collaborators

• University of New Mexico: lead

Study Sites (1)

University of New Mexico Health Science

Albuquerque, New Mexico, 87106, United States

RECRUITING

MeSH Terms

Conditions

Epilepsy; Status Epilepticus; Seizures

Condition Hierarchy (Ancestors)

Brain Diseases; Central Nervous System Diseases; Nervous System Diseases; Neurologic Manifestations; Signs and Symptoms; Pathological Conditions, Signs and Symptoms

Study Design

• Study Type: observational
• Observational Model: CASE CONTROL
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: November 17, 2021
• First Posted: December 1, 2021
• Study Start: October 11, 2021
• Primary Completion (Estimated): June 30, 2028
• Study Completion (Estimated): December 31, 2030
• Last Updated: June 17, 2025

Record last verified: 2025-06

Locations

US (1)