Long-term Follow-up of Closed-loop Deep Brain Electrical Stimulation on the Epileptic Rat Model for Seizure Control

  • 林 伯睿

Student thesis: Master's Thesis

Abstract

Epilepsy is a chronic neurological disease which occurs about 0 8% of the world’s population Current strategy for treating epilepsy includes medication resective surgery and vagus nerve stimulation In spite of these treatments there are about a quarter of the patients are still suffer from uncontrollable seizure Abnormal discharge in brain is what causing epilepsy to happen Due to this fact electroencephalogram (EEG) is the perfect tool to observe measure detect and furthermore develop treatment Deep brain stimulation with close-loop control had already been proposed and put in practical; NeuroPace’s RNS has approved by FDA at November 2013 clinical trial And another clinical trial of Medtronic’s InterceptTM finished at May 2012 with half of patients’ seizure counts reduced at least 50% and 14 patients were seizure-free for at least 6 months in 2 years has classified as a Class I Recall at May 2013 The model animal in this experiment is Long-Evans rats with absence seizure We observed the long term effects of applying the deep-brain stimulation with close-loop controller We carefully recorded the EEG signal during the whole experiment measured weight weekly studied the spike-wave-discharge (SWD) form EEG records impedance of the brain tissue and tissue slice then calculated several indices to describe the phenomenon we discovered 10 subjects’ seizure lasting time and seizure occurrence had both decreased After 2 months seizure control both seizure occurrence and seizure lasting time further decreased compare to the decrease after two weeks seizure control And we found that electrical stimulation changes structure of brain tissue including impedance and neurogial cell volume increased Although the tissue hyperplasia result in electrode covered our system still can suppress the seizure
Date of Award2016 Feb 26
Original languageEnglish
SupervisorSheng-Fu Liang (Supervisor)

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