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Common data elements in epilepsy research: development and implementation of the NINDS epilepsy CDE project
David W Loring1, Daniel H Lowenstein, Nicholas M Barbaro
1Department of Neurology, Emory University, Atlanta, Georgia, USA. dloring@emory.edu
The National Institute of Neurological Disorders and Stroke (NINDS) developed Common Data Elements (CDEs) to standardize neuroscience clinical research data. Epilepsy-specific CDEs improve data collection, sharing, and aggregation for better research outcomes.
Area of Science:
- Neuroscience
- Clinical Research Standards
- Epilepsy Research
Background:
- The National Institute of Neurological Disorders and Stroke (NINDS) initiated the Common Data Element (CDE) Project in 2006.
- CDEs aim to standardize data collection, reduce study start-up times, and ensure data completeness and comparability across studies.
- Standardization facilitates data sharing, aggregation, and the development of evidence-based guidelines in neurological research.
Purpose of the Study:
- To describe the NINDS CDE Initiative and the development process for epilepsy-specific CDEs.
- To highlight the benefits of CDEs for clinical investigators and the NINDS.
- To promote the harmonization of clinical disease characterization and outcome assessment in epilepsy research.
Main Methods:
- Development of epilepsy-specific CDEs across nine key content areas.
- Establishment of CDEs as a dynamic resource adaptable to new findings and technologies.
- Focus on standardization for improved data collection, sharing, and aggregation in epilepsy research.
Main Results:
- Epilepsy-specific CDEs were established in nine critical areas, including therapies, comorbidities, diagnostics, and outcomes.
- CDEs are designed to be a dynamic resource, incorporating user feedback and emerging research.
- The initiative supports international harmonization efforts in epilepsy research.
Conclusions:
- The NINDS CDE Initiative provides standardized data elements crucial for epilepsy research.
- Epilepsy-specific CDEs enhance data quality, facilitate collaboration, and support evidence-based practice.
- These standards are vital for advancing epilepsy research and improving patient care through better data management and sharing.
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