UNMH EEG Corpus Database for Epilepsy and Seizures

This study is creating a unique database of de-identified (information that cannot be linked to a specific person) EEG (electroencephalogram, a test that measures brain activity) recordings and medical records from patients treated at the UNMH Comprehensive Epilepsy Center. The goal is to combine these two types of information, which are usually kept separate, to better understand how pre-treatment brain activity relates to a patient's outcome after treatment. This database will also help improve how seizures are located in the brain and develop tools to predict when seizures might happen. This could lead to new ways to stop seizures. The study aims to include information from 20,000 people aged 18 and older who have epilepsy, status epilepticus (a prolonged seizure), or other seizures. The study is currently unclear about its recruitment status.

Study design
This is an observational study, meaning researchers will collect and analyze existing data rather than giving new treatments. It plans to include information from 20,000 participants.
What's involved
Not specified in the trial record.
Compensation
Not stated in the trial record.
Follow-up
The primary endpoint, the UNMH EEG Corpus, will be measured between 2007 and 2027.

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NCT05140265

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

Recruiting
Not specifiedAges 18+Observational
University of New Mexico
~20,000 participants
Updated 2026-06-22 on ClinicalTrials.gov

At a glance

Recruiting sites
1 of 1 listed site is recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
UNMH EEG Corpus
Measured over 2007-2027
Epilepsy
Status Epilepticus
Seizures
1 sites across 1 states
New Mexico1

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Eligibility criteria

Inclusion

18 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.

Exclusion

Children under age of 18 years old will be excluded.
Mismatched patients between EEG database and EMR
  • UNMH EEG Corpus2007-2027

    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