Linked Life Data

16875844

Source:http://linkedlifedata.com/resource/pubmed/id/16875844

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2006-9-11
pubmed:abstractText
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.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
1053-8119
pubmed:author
pubmed:issnType
Print
pubmed:day
1
pubmed:volume
32
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1549-61
pubmed:dateRevised
2011-2-28
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
The VESPA: a method for the rapid estimation of a visual evoked potential.
pubmed:affiliation
School of Electrical, Electronic and Mechanical Engineering, University College Dublin, Belfield, and Cognitive Neurophysiology Laboratory, St Vincent's Hospital, Fairview, Dublin, Ireland. ed.lalor@ee.ucd.ie
pubmed:publicationType
Journal Article, Clinical Trial, Research Support, Non-U.S. Gov't, Research Support, N.I.H., Extramural