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Predicting epileptic seizures using intracranial recording from epileptic ratsect
Israel (FIMS) - Technion, Haifa
Department of Neuroscience, Rappaport Faculty of Medicine, 1 Efron St., Haifa Israel
Prof. Jackie Schiller
Prof. Jackie Schiller
Type of Research Project
- Basic science
What is the background of the project?
Our research concentrates on the cortex, the largest and most complex brain structure that is responsible for our most basic sensory and motor functions as well as our higher functions such as learning, memory and emotions. We seek to understand how individual cortical neurons process and store the vast input information they receive, and how these properties contribute to processing and storage of information in the cortical network. Dysfunctions of the cortex unfortunately lead to some of the most devastating diseases known to mankind such as Alzheimer’s, epilepsy, autism and more. We believe that understanding how the cortex works in the normal brain is fundamental to understanding what makes us human and is first step towards finding remedies to the diseased brain. Approximatly 30 % of epilepsy patients suffer from drug resistant epilepsy. An emerging treatment for drug resistant epilepsy is responsive or closed-loop neurostimulation. The ability to eliminate seizures will be probably increased signifivantly if we can predict seizures before they initiate. Indeed the goal of this project is to develop a novel method for predicting seizures bassed on intracranial recordings in rats
What is the aim of the project?
Develop a method for predicting seizures using intracranial recording from epileptic rats.
What techniques and methods are used?
The experiments consist of comparing normal and epileptic rat models. Data will include both recordings from an EEG (Electro Encephalo Gram) and silicon prob single unit recordings from hippocampus of rats. One of the main goals is detecting specific activity modes that precede the big epileptic seizure and via closed loop providing a stimulation to prevent the erupting seizure. Presently the leading student already collected a good portion of electrophysiological data with normal and epileptic models. Now we are working on detecting specific patterns of activation that will be used as predictors for the closed loop stimulation. The data was collected using video combined with silicon probes single unit recordings.
What is the role of the student?
- The student will mainly observe
- The student will observe the practical experiments but will be highly involved in the analysis of the results
- The tasks will be done under supervision
What are the tasks expected to be accomplished by the student?
The student will observe the EEG (Electro Encephalo Gram) and behavioral data and identify seizures using guidelines from his tutor. The student should accomplish the capabilities to identify seizures either behaviorally or electrographically on his own after instruction. The exchange student will learn the procedure of spike sorting and all the analysis chain that is now used in the lab. The student will assist in the analysis of the data using computer softwares that he will be instructed on- therefore there is a need for basic understanding in computers. According to the student interest and capabilities he may also contribute in writing specific analysis code for the software.
Will there be any theoretical teaching provided (preliminary readings, lectures, courses, seminars etc)
Yes- preliminary readings will be provided.
What is expected from the student at the end of the research exchange? What will be the general outcome of the student?
- No specific outcome is expected
What skills are required of the student? Is there any special knowledge or a certain level of studies needed?
Ability to work with computers and handle software
Are there any legal limitations in the student’s involvement
Type of students accepted
This project accepts: - Medical students
- Khateb M; Schiller J; Schiller Y. Feedforward motor information enhances somtasensory responses and sharpens angular tuning of rat S1 barrel cortex neurons. eLIFE; 2017 6:e21843. DOI: 10.7554/eLife.21843.
- Mel BW; Schiller J; Poirazi P. Synaptic plasticity in dendrites: complications and coping strategies. Curr Opin Neurobiol; 2017; 43177-186.
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