Antiepileptic drug intervention decouples electroencephalogram (EEG) signals: a case study in Unverricht-Lundborg Disease.

Abstract

Change in severity of myoclonus as an outcome measure of antiepileptic drug (AED) treatment in patients with Unverricht-Lundborg Disease (ULD) has been estimated by utilizing the Unified Myoclonus Rating Scale (UMRS). In this study, we measure treatment effects through EEG analysis using mutual information approach to quantify interdependence/coupling strength among different electrode sites. Mutual information is known to have the ability to capture linear and non-linear dependencies between EEG time series with superior performance over the traditional linear measures. One subject with ULD participated in this study and 1-hour EEG recordings were acquired before and after treatment of AED. Our results indicate that the mutual information is significantly lower after taking the add-on AED for four weeks at least. This finding could lead to a new insight for developing a new outcome measure for patient with ULD, when UMRS could potentially fail to detect a significant difference.

• Authors: Chang-Chia Liu, Petros Xanthopoulos, W Chaovalitwongse, Panos M Pardalos, Basim M Uthman
• Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference (Annu Int Conf IEEE Eng Med Biol Soc) Vol. 2008 Pg. 2108-11 ( 2008) ISSN: 2375-7477 [Print] United States
• PMID: 19163112 (Publication Type: Case Reports, Journal Article, Research Support, Non-U.S. Gov't, Research Support, U.S. Gov't, Non-P.H.S.)

Chemical References

• Anticonvulsants

Topics

• Anticonvulsants (therapeutic use)
• Electroencephalography (drug effects)
• Female
• Humans
• Middle Aged
• Models, Neurological
• Myoclonus (drug therapy)
• Treatment Outcome
• Unverricht-Lundborg Syndrome (drug therapy)