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The impact of electrode characteristics on electrocorticography (ECoG)

Wodlinger, B and Degenhart, AD and Collinger, JL and Tyler-Kabara, EC and Wang, W (2011) The impact of electrode characteristics on electrocorticography (ECoG). Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 3083 - 3086. ISSN 1557-170X

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Used clinically since Penfield and Jasper's pioneering work in the 1950's, electrocorticography (ECoG) has recently been investigated as a promising technology for brain-computer interfacing. Many researchers have attempted to analyze the properties of ECoG recordings, including prediction of optimal electrode spacing and the improved resolution expected with smaller electrodes. This work applies an analytic model of the volume conductor to investigate the sensitivity field of electrodes of various sizes. The benefit to spatial resolution was minimal for electrodes smaller than 1mm, while smaller electrodes caused a dramatic decrease in signal-to-noise ratio. The temporal correlation between electrode pairs is predicted over a range of spacings and compared to correlation values from a series of recordings in subjects undergoing monitoring for intractable epilepsy. The observed correlations are found to be much higher than predicted by the analytic model and suggest a more detailed model of cortical activity is needed to identify appropriate ECoG grid spacing. © 2011 IEEE.


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Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Wodlinger, B
Degenhart, ADadd19@pitt.eduADD19
Collinger, JLcollinger@pitt.eduCOLLINGR
Tyler-Kabara, ECtylerk@pitt.eduTYLERK
Wang, Wwangwei3@pitt.eduWANGWEI3
Centers: Other Centers, Institutes, Offices, or Units > Human Engineering Research Laboratories
Date: 26 December 2011
Date Type: Publication
Journal or Publication Title: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Page Range: 3083 - 3086
DOI or Unique Handle: 10.1109/iembs.2011.6090842
Schools and Programs: School of Health and Rehabilitation Sciences > Rehabilitation Science and Technology
Refereed: No
ISSN: 1557-170X
MeSH Headings: Electrodes; Electroencephalography--instrumentation; Electroencephalography--methods; Humans
PubMed ID: 22254991
Date Deposited: 28 Jan 2013 15:17
Last Modified: 05 Oct 2020 13:55


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