Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 정예환 | - |
dc.date.accessioned | 2021-03-16T05:06:09Z | - |
dc.date.available | 2021-03-16T05:06:09Z | - |
dc.date.issued | 2020-01 | - |
dc.identifier.citation | MICROMACHINES, v. 10, no. 1, article no. 62 | en_US |
dc.identifier.issn | 2072-666X | - |
dc.identifier.uri | https://www.mdpi.com/2072-666X/10/1/62 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/160593 | - |
dc.description.abstract | Since the 1940s electrocorticography (ECoG) devices and, more recently, in the last decade, micro-electrocorticography (mu ECoG) cortical electrode arrays were used for a wide set of experimental and clinical applications, such as epilepsy localization and brain-computer interface (BCI) technologies. Miniaturized implantable mu ECoG devices have the advantage of providing greater-density neural signal acquisition and stimulation capabilities in a minimally invasive fashion. An increased spatial resolution of the mu ECoG array will be useful for greater specificity diagnosis and treatment of neuronal diseases and the advancement of basic neuroscience and BCI research. In this review, recent achievements of ECoG and mu ECoG are discussed. The electrode configurations and varying material choices used to design mu ECoG arrays are discussed, including advantages and disadvantages of mu ECoG technology compared to electroencephalography (EEG), ECoG, and intracortical electrode arrays. Electrode materials that are the primary focus include platinum, iridium oxide, poly(3,4-ethylenedioxythiophene) (PEDOT), indium tin oxide (ITO), and graphene. We discuss the biological immune response to mu ECoG devices compared to other electrode array types, the role of mu ECoG in clinical pathology, and brain-computer interface technology. The information presented in this review will be helpful to understand the current status, organize available knowledge, and guide future clinical and research applications of mu ECoG technologies. | en_US |
dc.description.sponsorship | This work was sponsored in part by the Defense Advanced Research Projects Agency (DARPA) Biological Technology Office (BTO), under the auspices of Jack W. Judy and Douglas J. Weber as part of the Reliable Neural Technology Program, through the Space and Naval Warfare Systems Command (SPAWAR) System Center (SSC) Pacific grant no. N66001-12-C-4025 to Kevin J. Otto and Justin C. Williams. This work was also sponsored in part by the Army Research Office under grant W911NF-14-1-0652. The program manager is James Harvey and Joe X. Qiu (former). The work was also partly supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (grant no. 2018R1C1B6001529). | en_US |
dc.language.iso | en | en_US |
dc.publisher | MDPI | en_US |
dc.subject | electrocorticography | en_US |
dc.subject | ECoG | en_US |
dc.subject | micro-electrocorticography | en_US |
dc.subject | mu ECoG | en_US |
dc.subject | neural electrode array | en_US |
dc.subject | neural interfaces | en_US |
dc.subject | electrophysiology | en_US |
dc.subject | brain-computer interface | en_US |
dc.subject | in vivo imaging | en_US |
dc.subject | tissue response | en_US |
dc.subject | graphene | en_US |
dc.title | Progress in the field of micro-electrocorticography | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.3390/mi10010062 | - |
dc.relation.journal | MICROMACHINES | - |
dc.contributor.googleauthor | Shokoueinejad, Mehdi | - |
dc.contributor.googleauthor | Park, Dong-Wook | - |
dc.contributor.googleauthor | Jung, Yei Hwan | - |
dc.contributor.googleauthor | Brodnick, Sarah K. | - |
dc.contributor.googleauthor | Novello, Joseph | - |
dc.contributor.googleauthor | Dingle, Aaron | - |
dc.contributor.googleauthor | Swanson, Kyle I. | - |
dc.contributor.googleauthor | Baek, Dong-Hyun | - |
dc.contributor.googleauthor | Suminski, Aaron J. | - |
dc.contributor.googleauthor | Lake, Wendell B. | - |
dc.relation.code | 2020051027 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF ELECTRONIC ENGINEERING | - |
dc.identifier.pid | yjung | - |
dc.identifier.orcid | http://orcid.org/0000-0002-1754-2602 | - |
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