EXPLORING HUMAN VISUAL ATTENTION IN AN MEG STUDY OF A SPATIAL CUEING PARADIGM USING A NOVEL ANCOVA DESIGN

Visual attention models postulate that relevant information is selectively extracted by differentially modulating neural activity in the visual cortex to control the response to target and distractor stimuli. To investigate attention bias mechanisms in the brain, we use general linear modeling of co...

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Published in2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro pp. 1096 - 1099
Main Authors Pantazis, D., Simpson, G.V., Weber, D.L., Dale, C.L., Nichols, T.E., Leahy, R.M.
Format Conference Proceeding
LanguageEnglish
Published 01.04.2007
Subjects
Brain modeling
Data mining
Frequency
Gratings
Humans
Independent component analysis
Instruments
Liquid crystal displays
Signal design
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Summary:Visual attention models postulate that relevant information is selectively extracted by differentially modulating neural activity in the visual cortex to control the response to target and distractor stimuli. To investigate attention bias mechanisms in the brain, we use general linear modeling of cortically constrained images of oscillatory alpha activity extracted from an MEG study of visual attention. By using a novel ANCOVA design, we create statistics that estimate the temporal evolution of attention effects on several cortical regions. We present evidence that the superior parietal lobe and temporal parietal junction have instrumental roles, respectively, in shifting and sustaining attention.
ISBN:1424406714
9781424406715
ISSN:1945-7928
1945-8452
DOI:10.1109/ISBI.2007.357047