A user's guide for the International Classification of Cognitive Disorders in Epilepsy

Area of Science:

• Neuropsychology
• Epilepsy Research
• Computational Neuroscience

Background:

• Epilepsy frequently involves cognitive impairments, necessitating standardized classification.
• Existing classifications may not fully capture the spectrum of cognitive disorders in epilepsy.
• The International League Against Epilepsy (ILAE) Neuropsychology Task Force initiated the IC-CoDE to address this gap.

Purpose of the Study:

• To outline the background, rationale, and methodology of the IC-CoDE.
• To present the computational steps for deriving cognitive phenotypes from neuropsychological data.
• To summarize current findings and future directions for the IC-CoDE initiative.

Main Methods:

• The study details a 6-step process for deriving cognitive phenotypes from neuropsychological test data.
• A case example illustrates the application of these steps.
• The approach is designed for computational simplicity, applicable to individual or group data.

Main Results:

• The IC-CoDE framework has been applied to existing research, with findings summarized.
• Correlates of IC-CoDE outcomes have been identified.
• The approach demonstrates potential for informing reliability and validity across diverse international datasets.

Conclusions:

• The IC-CoDE provides a novel, computationally accessible method for analyzing neuropsychological data in epilepsy.
• It facilitates the development of a global taxonomy for cognitive disorders in epilepsy.
• The initiative supports international collaboration and big data science in epilepsy research.