Document Type
Article
Publication Date
8-16-2016
Abstract
Electrocorticography (ECoG) is a minimally invasive neural recording method that has been extensively used for neuroscience applications. It has proven to have the potential to ease the establishment of proper links for neural interfaces that can offer disabled patients an alternative solution for their lost sensory and motor functions through the use of brain-computer interface (BCI) technology. Although many neural recording methods exist, ECoG provides a combination of stability, high spatial and temporal resolution with chronic and mobile capabilities that could make BCI systems accessible for daily applications. However, many ECoG electrodes require MEMS fabricating techniques which are accompanied by various expenses that are obstacles for research projects. For this reason, this paper presents an animal study using a low cost and simple handcrafted ECoG electrode that is made of commercially accessible materials. The study is performed on a Lewis rat implanted with a handcrafted 32-channel non-penetrative ECoG electrode covering an area of 3 × 3 mm2 on the cortical surface. The ECoG electrodes were placed on the motor and somatosensory cortex to record the signal patterns while the animal was active on a treadmill. Using a Tucker-Davis Technologies acquisition system and the software Synapse to monitor and analyze the electrophysiological signals, the electrodes obtained signals within the amplitude range of 200 µV for local field potentials with reliable spatiotemporal profiles. It was also confirmed that the handcrafted ECoG electrode has the stability and chronic features found in other commercial electrodes. View Full-Text
Recommended Citation
Tasnim, Nishat, Ali Ajam, Raul Ramos, Mukhesh K. Koripalli, Manisankar Chennamsetti, and Yoonsu Choi. 2016. "Handcrafted Electrocorticography Electrodes for a Rodent Behavioral Model" Technologies 4, no. 3: 23. https://doi.org/10.3390/technologies4030023
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Publication Title
Technologies
DOI
10.3390/technologies4030023
Comments
© 2016 by the authors; licensee MDPI, Basel, Switzerland