Electrophysiological monitoring of cerebellar evoked potentials following fluid percussion injury

Gokhan Ordek, Jonathan D. Groth, Bryan J. Pfister, Mesut Sahin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Cerebellum is highly susceptible to traumatic injuries, and yet it has rarely been studied in the context of traumatic brain injury (TBI). Much of the TBI research in the cerebellum has been conducted through histochemical techniques, particularly using selective protein staining. In this study, we investigated if fluid percussion injury (FPI) was detectable using electrophysiological recordings of the cerebellar activity with multi-contact array electrodes. Rats were chronically implanted with micro ECoG electrodes on the paramedian lobule (PML). The FPI was induced via a skull opening near the electrode implant on the cerebellum. Spontaneous and evoked potentials (EPs) featured almost immediate alterations in their waveform patterns after the delivery of pressure pulse. Recorded evoked potential amplitudes declined drastically by the next day. We also studied the linear correlation changes between all the electrode contact pairs and observed a significant decrease (R from > 0.7 to < 0.4, p <.001) as a result of injury. The results suggest that electrophysiological recording with chronic electrode implants can be used as a method of detection and longitudinal monitoring of subtle effects of TBI in the cerebellar circuits.

Original languageEnglish (US)
Title of host publication2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
Pages973-976
Number of pages4
DOIs
StatePublished - Dec 1 2013
Event2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013 - San Diego, CA, United States
Duration: Nov 6 2013Nov 8 2013

Publication series

NameInternational IEEE/EMBS Conference on Neural Engineering, NER
ISSN (Print)1948-3546
ISSN (Electronic)1948-3554

Other

Other2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
CountryUnited States
CitySan Diego, CA
Period11/6/1311/8/13

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Mechanical Engineering

Keywords

  • Cerebellum
  • Evoked potentials
  • Micro ECoG
  • Multi-electrode arrays

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