Linked Life Data

17946878

Source:http://linkedlifedata.com/resource/pubmed/id/17946878

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2007-10-23
pubmed:abstractText
Binocular rivalry is a visual perceptual phenomenon which occurs when two incongruent stimuli are viewed by a subject through each eye, but only one of them is perceived at a time, with a switch in perception every few seconds, which reflects the alternation of perceptual dominance. To investigate the correlation between contrast-related perception and neural activities, the subjects' EEGs were recorded with a 64-channel electroencephalograph while experiencing binocular rivalry. A higher contrast grating flickering at one frequency was presented to one eye while a lower contrast grating flickering at a slightly different frequency was presented to the other eye. Steady-state visual evoked potentials (SSVEP) at the flickering frequencies were used to ;tag' the two stimuli. An improved inverse algorithm termed SSLOFO (standardized shrinking LORETA-FOCUSS) was used to solve this inverse problem, which acquires the spatial distribution of neural active sources from the EEG data. The result shows that activity in primary visual cortex (V1) increased when subjects perceived the higher contrast pattern and decreased when they perceived the lower contrast pattern. This paper presents a method based on EEG to investigate neural correlates of consciousness in real-time, which provides an alternative method to achieve comparable results to those based on fMRI methods.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1557-170X
pubmed:author
pubmed:issnType
Print
pubmed:volume
1
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1177-80
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Source estimation of contrast-related perception based on frequency-tagged binocular rivalry.
pubmed:affiliation
Department of Biomedical Engineering, Tsinghua University, Beijing, China.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't