Linked Life Data

10501542

Source:http://linkedlifedata.com/resource/pubmed/id/10501542

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
9
pubmed:dateCreated
1999-11-10
pubmed:abstractText
We sought to investigate how individual differences in the regional patterns of cerebral blood flow (rCBF) relate to task performance during the perceptual matching of faces. We analyzed rCBF data obtained by PET and H2150 from nine young healthy, right-handed, adult males (mean age 29i3 years) using a statistical model of regional covariance, the Scaled Subprofile Model (SSM). SSM analysis performed on a voxel-basis for scan subtractions comparing face-matching and control tasks extracted two patterns whose subject expression in a multiple regression analysis was highly predictive of task accuracy (R2 = 0.87, p < 0.002). The pattern reflecting this linear combination was principally characterized by higher rCBF in regions of bilateral occipital and occipitotemporal cortex, right orbitofrontal cortex, left thalamus, basal ganglia, midbrain, and cerebellum with relatively lower rCBF in anterior cingulate, regions in bilateral prefrontal and temporal cortex, right thalamus, and right inferior parietal cortex. The results indicate that individual subject differences in face matching performance are specifically associated with the functional interaction of cortical and subcortical brain regions previously implicated in aspects of object perception and visual attentional processing.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
0959-4965
pubmed:author
pubmed:issnType
Print
pubmed:day
23
pubmed:volume
10
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1965-71
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
1999
pubmed:articleTitle
Individual differences in PET activation of object perception and attention systems predict face matching accuracy.
pubmed:affiliation
Laboratory of Neurosciences, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892, USA.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S.