Synchronization is essential for information processing in neural networks. However, prolonged neuronal hyper-synchronization—seizure activity—can result in permanent brain damage. To help study the disease, chemoconvulsants such as pilocarpine and soman can be used to induce epilepsy in rodents. Telemetry is a particularly effective tool for this research, as it allows the detection of hyper-synchronizations and continuous data collection for physiological and pharmacological studies.
In this webinar sponsored by Data Sciences International, Dr. Marcio Furtado presents research highlighting the importance of anomalous EEG detection to study experimental epilepsy and assess the efficacy of potential anticonvulsants and neuroprotectants. He also discusses why continuous EEG monitoring at a high sampling rate is critical to properly detect seizures and how to effectively deal with large telemetry data sets.
Watch this webinar to learn:
- Why neural hyper-synchronization (seizure activity) can result in permanent brain damage
- Tips for organizing, standardizing, and batch processing large data sets
- What features can be extracted from large EEG data sets
- Why inadequate sampling rates can lead to signal aliasing and how to avoid it
- How telemetry can be used to continuously monitor EEG and assess seizure activity in animal models of epilepsy
To download a PDF copy of the presentation, click on the “LinkedIn SlideShare” icon located in the bottom-right corner of the slide-viewer. From the SlideShare landing page click the “Download” button to retrieve the file.
Adjunct Assistant Professor
Anatomy, Physiology and Genetics
Uniformed Services University of the Health Sciences
Dr. Marcio Furtado is currently an Adjunct Assistant Professor of Anatomy, Physiology and Genetics at USU and CEO of BioSEaD LLC. His research focuses on the mechanisms of chemically-induced seizures. His major contributions include:
- Identification of spontaneous recurrent seizures after organophosphorus exposure
- Creation of a customized MATLAB toolbox to optimize EEG-telemetry data analysis
- Preliminary EEGgraphic characterization of an animal model of traumatic brain injury
Dr. Furtado’s research goals include understanding the mechanisms of brain injury and repair, assessing the potential of different neuroprotectant therapies and developing tools to optimize EEG, ECG and neuropathological analysis.