What is it about?

In most cases, Epilepsy is treatable by anti-epileptic drugs (AED), but still, about 30% of the patients do not respond sufficiently to medication and continue suffering from seizures. Even for good responders, determining the optimal dose can require long periods of trial, error and adjustments. To address these challenges, the present study's main objective is to find a biomarker for quantification of the level of responsiveness of people with epilepsy to AEDs on a personal level. We use a computational model of connected bistable units to generate and validate "in silico" a robust biomarker hypothesis. The model showed that the aggregated functional connectivity is a critically important observable that reflects epilepsy. Applied to the clinical data, we were able to derive a criterion for pharmacological responsiveness and a paradigm for assessing the optimal medication dose.

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Why is it important?

The application of the paper's findings will dramatically decrease the time for determining the optimal dose of Anti-Epileptic Drugs for patients. Thus, it will increase the people with epilepsy live quality.

Perspectives

Assessing the patient's optimal medication dose within days.

George Petkov
Stichting Epilepsie Instellingen Nederland

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This page is a summary of: Expert system for pharmacological epilepsy treatment prognosis and optimal medication dose prescription, January 2019, ACM (Association for Computing Machinery),
DOI: 10.1145/3309772.3309775.
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