Animal EEG Webinar | Measuring Long-Term Wireless EEG in Rodents
Tuesday, February 7, 2017
On Demand Playback
Focused on the fundamentals of wireless, long-term EEG recording in small animals and presents new research capabilities enabled through the integration of EPOCH systems technology and BIOPAC physiological data acquisition and analysis systems.
BIOPAC Systems can monitor multiple physiological signals from rodents. Recording and analyzing multi-channel electroencephalogram (EEG) signals in small animals offers detailed insights into brain activity, an important process to many research applications including psychophysiology, stroke, motor disorder, sleep, circadian rhythms, seizures and epilepsy, to name a few. However, traditional methods of obtaining long-term EEG data provide a myriad of challenges, including surgical complexity, an inability to utilize additional transmitters, and limitations when trying to study small, neonatal rodents. Moreover, attempting to co-register multi-channel EEG with complimentary physiological measurements adds another level of complexity, requiring the integration of multiple systems. If this is done incorrectly, it can lead to data acquisition errors, poor measurement synchronization and ultimately misleading results.
In this webinar, BIOPAC CEO Frazer Findlay and Mark Lehmkuhle, CEO/CTO Epitel, Inc., discussed study design and demonstrate correct equipment set up and operation when recording small animal EEG. Specifically, Mr. Lehmkuhle explained the application of the implantable Epoch wireless EEG/neural signal system. He reviewed surgical procedure, device setup, and measurement techniques that lead to successful and reproducible data collection. Furthermore, he discussed how scientific findings can support specific research applications, namely rodent models of seizure and epilepsy.
Following, Mr. Findlay demonstrated how to interface the Epoch EEG systems with the BIOPAC MP160 Data Acquisition and Analysis System and record accurate EEG data using AcqKnowledge software. In addition, Mr. Findlay discussed important data analysis processes for scoring multiple channels of EEG data, including how to automatically identify, mark and report seizure episodes, derive frequency bands, complete a frequency analysis, look at Alpha RMS and remove EOG noise. This demonstration effectively showed scientists how they can use features in AcqKnowledge Software to simplify their data review.
Key topics covered during this webinar included:
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