Lalor, Edmund C., Pearlmutter, Barak A., Reilly, Richard B., McDarby, Gary and Foxe, John J. (2006) The VESPA: A method for the rapid estimation of a visual evoked potential. NeuroImage, 32 (4). pp. 1549-1561. ISSN 1053-8119
Preview
BP_vespa method.pdf
Download (643kB) | Preview
Abstract
Faster and less obtrusive means for measuring a Visual Evoked
Potential would be valuable in clinical testing and basic neuroscience
research. This study presents a method for accomplishing
this by smoothly modulating the luminance of a visual stimulus
using a stochastic process. Despite its visually unobtrusive nature,
the rich statistical structure of the stimulus enables rapid estimation
of the visual system's impulse response. The profile of these
responses, which we call VESPAs, correlates with standard VEPs,
with r=0.91, p<10−28 for the group average. The time taken to
obtain a VESPA with a given signal-to-noise ratio compares
favorably to that required to obtain a VEP with a similar level of
certainty. Additionally, we show that VESPA responses to two
independent stimuli can be obtained simultaneously, which could
drastically reduce the time required to collect responses to multiple
stimuli. The new method appears to provide a useful alternative to
standard VEP methods, and to have potential application both in
clinical practice and to the study of sensory and perceptual
functions.
Item Type: | Article |
---|---|
Keywords: | EEG; Visual evoked potential; Experimental design; System identification; Magnocellular; Striate cortex; |
Academic Unit: | Faculty of Science and Engineering > Computer Science Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
Item ID: | 5537 |
Identification Number: | 10.1016/j.neuroimage.2006.05.054 |
Depositing User: | Barak Pearlmutter |
Date Deposited: | 04 Nov 2014 10:55 |
Journal or Publication Title: | NeuroImage |
Publisher: | Elsevier |
Refereed: | Yes |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/5537 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
Repository Staff Only (login required)
Downloads
Downloads per month over past year