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dc.contributor.author이향운*
dc.date.accessioned2016-08-28T10:08:57Z-
dc.date.available2016-08-28T10:08:57Z-
dc.date.issued2013*
dc.identifier.issn1073-8584*
dc.identifier.otherOAK-10088*
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/223727-
dc.description.abstractIntracranial electro-encephalography (icEEG) provides a unique opportunity to record directly from the human brain and is clinically important for planning epilepsy surgery. However, traditional visual analysis of icEEG is often challenging. The typical simultaneous display of multiple electrode channels can prevent an in-depth understanding of the spatial-time course of brain activity. In recent decades, advances in the field of neuroimaging have provided powerful new tools for the analysis and display of signals in the brain. These methods can now be applied to icEEG to map electrical signal information onto a three-dimensional rendering of a patient's cortex and graphically observe the changes in voltage over time. This approach provides rapid visualization of seizures and normal activity propagating over the brain surface and can also illustrate subtle changes that might be missed by traditional icEEG analysis. In addition, the direct mapping of signal information onto accurate anatomical structures can assist in the precise targeting of sites for epilepsy surgery and help correlate electrical activity with behavior. Bringing icEEG data into a standardized anatomical space will also enable neuroimaging methods of statistical analysis to be applied. As new technologies lead to a dramatic increase in the rate of data acquisition, these novel visualization and analysis techniques will play an important role in processing the valuable information obtained through icEEG. © The Author(s) 2012.*
dc.languageEnglish*
dc.titleIntracranial EEG surface renderings: New insights into normal and abnormal brain function*
dc.typeArticle*
dc.relation.issue3*
dc.relation.volume19*
dc.relation.indexSCI*
dc.relation.indexSCIE*
dc.relation.indexSCOPUS*
dc.relation.startpage238*
dc.relation.lastpage247*
dc.relation.journaltitleNeuroscientist*
dc.identifier.doi10.1177/1073858412447876*
dc.identifier.wosidWOS:000318860800007*
dc.identifier.scopusid2-s2.0-84877748590*
dc.author.googleYoungblood M.W.*
dc.author.googleHan X.*
dc.author.googleFarooque P.*
dc.author.googleJhun S.*
dc.author.googleBai X.*
dc.author.googleYoo J.Y.*
dc.author.googleLee H.W.*
dc.author.googleBlumenfeld H.*
dc.contributor.scopusid이향운(34667959700)*
dc.date.modifydate20240123091326*
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의과대학 > 의학과 > Journal papers
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