Publication: Printable and transparent micro-electrocorticography (μECoG) for optogenetic applications
dc.contributor.author | Thaninamon Kimtan | en_US |
dc.contributor.author | Jiyaporn Thupmongkol | en_US |
dc.contributor.author | Justin C. Williams | en_US |
dc.contributor.author | Sanitta Thongpang | en_US |
dc.contributor.other | Mahidol University | en_US |
dc.contributor.other | University of Wisconsin Madison | en_US |
dc.date.accessioned | 2018-11-09T02:11:16Z | |
dc.date.available | 2018-11-09T02:11:16Z | |
dc.date.issued | 2014-01-01 | en_US |
dc.description.abstract | © 2014 IEEE. Micro-electrocorticography (μECoG) displays advantages over traditional invasive methods. The μECoG electrode can record neural activity with high spatial-temporal resolution and it can reduce implantation side effects (e.g. vascular and local-neuronal damage, tissue encapsulation, infection). In this study, we propose a printable transparent μECoG electrode for optogenetic applications by using ultrasonic microfluid printing technique. The device is based on poly(3,4-ethylenedioxythiophene): poly(styrenesulfonate) (PEDOT: PSS) as a conductive polymer, polydimethylsiloxane (PDMS) as an insulating polymer and poly(chloro-para-xylylene) (Parylene-C) as the device substrate. We focus on ultrasonic microfluid printing due to its low production cost, excellent material handling capability, and its customizable film thickness (down to 5-20 microns). The ultrasonic fluid-printed μECoG displays high spatial resolution and records simulated signal (0-200 Hz sine wave) effectively with low electrode impedance (50-200 kOhms@1kHz). The μECoG also shows good biocompatibility suitable for customizable chronic implants. This new neural interfacing device could be combined with optogenetics and Brain-Computer Interface (BCI) applications for a possible future use in neurological disease diagnosis and rehabilitations. | en_US |
dc.identifier.citation | 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. (2014), 482-485 | en_US |
dc.identifier.doi | 10.1109/EMBC.2014.6943633 | en_US |
dc.identifier.other | 2-s2.0-84929484064 | en_US |
dc.identifier.uri | https://repository.li.mahidol.ac.th/handle/20.500.14594/33749 | |
dc.rights | Mahidol University | en_US |
dc.rights.holder | SCOPUS | en_US |
dc.source.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84929484064&origin=inward | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Engineering | en_US |
dc.subject | Medicine | en_US |
dc.title | Printable and transparent micro-electrocorticography (μECoG) for optogenetic applications | en_US |
dc.type | Conference Paper | en_US |
dspace.entity.type | Publication | |
mu.datasource.scopus | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84929484064&origin=inward | en_US |