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Epilepsy and Seizures: Overview01:24

Epilepsy and Seizures: Overview

Epilepsy is a chronic neurological disease marked by recurrent, unpredictable seizures. These seizures are caused by abnormal electrical discharges in the brain, leading to behavior, sensation, or consciousness alterations. They can also cause transient impairment of awareness, interfering with daily activities.
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Related Experiment Video

Updated: May 22, 2026

A Multi-Electrode Array Platform for Modeling Epilepsy Using Human Pluripotent Stem Cell-Derived Brain Assembloids
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Published on: September 27, 2024

The Epilepsy Phenome/Genome Project (EPGP) informatics platform.

Gerry Nesbitt1, Kevin McKenna, Vickie Mays

  • 1University of California, San Francisco, CA, USA. gnesbitt@epgp.org

International Journal of Medical Informatics
|May 15, 2012
PubMed
Summary

The Epilepsy Phenome/Genome Project (EPGP) developed a robust informatics platform for collecting epilepsy data. This system successfully manages multicenter research and collects phenotypic data, aiding in the discovery of epilepsy genes.

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Area of Science:

  • Genetics
  • Neurology
  • Bioinformatics

Background:

  • The Epilepsy Phenome/Genome Project (EPGP) is a large, collaborative network of 27 epilepsy centers.
  • The project aims to collect detailed phenotypic and genetic data from epilepsy participants and their parents.
  • Key goals include phenotyping 3750 epilepsy patients and 1500 parents, obtaining DNA samples, and discovering novel epilepsy-causing genes.

Purpose of the Study:

  • To develop a reliable informatics platform for standardized data collection and management.
  • To support a large-scale, multicenter research project involving extensive phenotypic data.

Main Methods:

  • Developed a suite of web-based informatics applications for participant tracking, electronic data collection, and data management.
  • Implemented procedures for data quality review, phenotypic analysis, specimen tracking, and electroencephalograph/neuroimaging storage.
  • Provided training and support for end-users at clinical sites.

Main Results:

  • Enrolled 3780 study participants and completed 20,957 web-based study activities.
  • Over 95% of end-users reported the informatics platform was successful.
  • The platform facilitated efficient and reliable collection of phenotypic data.

Conclusions:

  • The EPGP informatics platform effectively managed the study and enabled reliable phenotypic data collection.
  • The novel platform met the demands of a large, multicenter research project.
  • High end-user acceptance suggests the platform can model future collaborative research tools.