Measurement of temporal frequency characteristics of VEP using pseudorandom binary sequence and their correlation with cerebral blood flow in human visual cortex

Keiko Momose, Yuichi Kimura, Motohiro Kiyosawa, Michio Senda, Kazumi Komiya

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

Steady-state visual evoked potentials (S-VEP) have been used to derive temporal frequency characteristics, which are effective in detecting sensitivity loss for high frequency stimuli in early glaucoma. However, this method requires independent measurements of VEP for various frequencies. In this study, an improved technique using pseudorandom binary sequence (PRBS) stimulation to elicit VEP (PRBS-VEP) was proposed and compare with S-VEP. Regional cerebral blood flow (CBF) was also measured with positron emission tomography, and its response to stimulation was compared with the VEP. Results showed that PRBS-VEP yielded temporal frequency characteristics similar to those obtained by S-VEP, but in a much shorter time. Furthermore, CBF response in the primary visual cortex was well correlated with the VEP amplitude, suggesting that VEP originate in the primary visual cortex.

Original languageEnglish
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
PublisherIEEE
Pages1518-1521
Number of pages4
Volume4
Publication statusPublished - 1997
Externally publishedYes
EventProceedings of the 1997 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Chicago, IL, USA
Duration: 1997 Oct 301997 Nov 2

Other

OtherProceedings of the 1997 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CityChicago, IL, USA
Period97/10/3097/11/2

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ASJC Scopus subject areas

  • Bioengineering

Cite this

Momose, K., Kimura, Y., Kiyosawa, M., Senda, M., & Komiya, K. (1997). Measurement of temporal frequency characteristics of VEP using pseudorandom binary sequence and their correlation with cerebral blood flow in human visual cortex. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (Vol. 4, pp. 1518-1521). IEEE.