Linked Life Data

18062939

Source:http://linkedlifedata.com/resource/pubmed/id/18062939

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2008-1-14
pubmed:abstractText
Because our brain cannot process all visual information that enters it, we usually pay attention to only a specific aspect of our visual world. Selective visual attention modulates brain activation in cortical areas corresponding to the attended spatial location. However, visual attention has also been associated with the modulation of activation in different brain areas depending on the relevant spatial scale. In this study, we establish a link between attended spatial scale and receptive field size. We demonstrate that attention to a large or a small object in a visual scene increases activation specifically in brain regions with correspondingly large or small receptive field sizes. To analyze and visualize differential brain activation in contiguous cortical areas we used a mapping strategy evaluating the modelling parameters (beta) from functional magnetic resonance imaging data analysis. Assessment of the course of these parameters along traces in different directions in the visual cortex strengthens our conclusion that selective visual attention modulates brain areas with specific neuronal receptive field size properties corresponding to the task at hand. This also confirms predictions of models of selective attention, that attentional modulation of visual processing critically depends on the receptive field size of neurons across the visual cortex.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
0006-8993
pubmed:author
pubmed:issnType
Print
pubmed:day
16
pubmed:volume
1189
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
90-6
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Activation patterns in visual cortex reveal receptive field size-dependent attentional modulation.
pubmed:affiliation
Helmholtz Institute, Universiteit Utrecht, Heidelberglaan 2, 3584 CS Utrecht, The Netherlands. Mark.Rijpkema@fcdonders.ru.nl
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't