Multi-limb acquisition of motor evoked potentials and its application in spinal cord injury
| Autor: | Alessandro Presacco, Shrivats Mohan Iyer, Angelo H. All, Anil Maybhate |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Nervous system
Rat model Biophysics Stimulation medicine Animals Evoked potential Spinal cord injury Spinal Cord Injuries Analgesics Isoflurane General Neuroscience Motor Cortex Extremities Evoked Potentials Motor medicine.disease Electric Stimulation Rats Inbred F344 Rats Peripheral Disease Models Animal Electrophysiology medicine.anatomical_structure Exploratory Behavior Female Ketamine Psychology Neuroscience Motor cortex |
| Zdroj: | Journal of Neuroscience Methods. 193:210-216 |
| ISSN: | 0165-0270 |
| Popis: | The motor evoked potential (MEP) is an electrical response of peripheral neuro-muscular pathways to stimulation of the motor cortex. MEPs provide objective assessment of electrical conduction through the associated neural pathways, and therefore detect disruption due to a nervous system injury such as spinal cord injury (SCI). In our studies of SCI, we developed a novel, multi-channel set-up for MEP acquisition in rat models. Unlike existing electrophysiological systems for SCI assessment, the set-up allows for multi-channel MEP acquisition from all limbs of rats and enables longitudinal monitoring of injury and treatment for in vivo models of experimental SCI. The article describes the development of the set-up and discusses its capabilities to acquire MEPs in rat models of SCI. We demonstrate its use for MEP acquisition under two types of anesthesia as well as a range of cortical stimulation parameters, identifying parameters yielding consistent and reliable MEPs. To validate our set-up, MEPs were recorded from a group of 10 rats before and after contusive SCI. Upon contusion with moderate severity (12.5 mm impact height), MEP amplitude decreased by 91.36 ± 6.03%. A corresponding decline of 93.8 ± 11.4% was seen in the motor behavioral score (BBB), a gold standard in rodent models of SCI. |
| Databáze: | OpenAIRE |
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