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dc.contributor.author정예환-
dc.date.accessioned2021-03-16T05:06:09Z-
dc.date.available2021-03-16T05:06:09Z-
dc.date.issued2020-01-
dc.identifier.citationMICROMACHINES, v. 10, no. 1, article no. 62en_US
dc.identifier.issn2072-666X-
dc.identifier.urihttps://www.mdpi.com/2072-666X/10/1/62-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/160593-
dc.description.abstractSince 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.sponsorshipThis 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.isoenen_US
dc.publisherMDPIen_US
dc.subjectelectrocorticographyen_US
dc.subjectECoGen_US
dc.subjectmicro-electrocorticographyen_US
dc.subjectmu ECoGen_US
dc.subjectneural electrode arrayen_US
dc.subjectneural interfacesen_US
dc.subjectelectrophysiologyen_US
dc.subjectbrain-computer interfaceen_US
dc.subjectin vivo imagingen_US
dc.subjecttissue responseen_US
dc.subjectgrapheneen_US
dc.titleProgress in the field of micro-electrocorticographyen_US
dc.typeArticleen_US
dc.identifier.doi10.3390/mi10010062-
dc.relation.journalMICROMACHINES-
dc.contributor.googleauthorShokoueinejad, Mehdi-
dc.contributor.googleauthorPark, Dong-Wook-
dc.contributor.googleauthorJung, Yei Hwan-
dc.contributor.googleauthorBrodnick, Sarah K.-
dc.contributor.googleauthorNovello, Joseph-
dc.contributor.googleauthorDingle, Aaron-
dc.contributor.googleauthorSwanson, Kyle I.-
dc.contributor.googleauthorBaek, Dong-Hyun-
dc.contributor.googleauthorSuminski, Aaron J.-
dc.contributor.googleauthorLake, Wendell B.-
dc.relation.code2020051027-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDEPARTMENT OF ELECTRONIC ENGINEERING-
dc.identifier.pidyjung-
dc.identifier.orcidhttp://orcid.org/0000-0002-1754-2602-


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