Pantazis, Dimitrios, Simpson, Gregory V., Weber, Darren L., Dale, Corby Leslie, 1970-, Nichols, Thomas E. and Leahy, Richard M.. (2009) A novel ANCOVA design for analysis of MEG data with application to a visual attention study. NeuroImage, Vol.44 (No.1). pp. 164-174. ISSN 1053-8119

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Abstract

Statistical inference from MEG-based distributed activation maps is well suited to the general linear modeling framework, a standard approach to the analysis of fMRI and PET neuroimaging studies. However, there are important differences from the other neuroimaging modalities related to how observations are created and fitted in GLM models, as well as how subsequent statistical inference is performed. In this paper, we demonstrate how MEG oscillatory components can be analyzed in this framework based on a custom ANCOVA modeling that takes into account baseline and inter-hemispheric effects, rather than a simpler ANOVA design. We present the methodology using as an example an MEG study of visual spatial attention, since the model design depends on the specific experiment and neuroscience hypotheses being tested. However, the techniques presented here can be readily adapted to accommodate other experimental paradigms. We create statistics that estimate the temporal evolution of attention effects on alpha power in several cortical regions. We present evidence for direction specific attention effects on alpha activity in occipital and parietal regions and demonstrate the sub-second timing of these effects in each region. The results support a mechanism for anticipatory attentional deployment that dynamically modulates the local alpha synchrony in a network of parietal control and occipital sensory regions.

Item Type:	Journal Article
Subjects:	B Philosophy. Psychology. Religion > BF Psychology Q Science > QA Mathematics R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Divisions:	Faculty of Science > Statistics Faculty of Science > WMG (Formerly the Warwick Manufacturing Group)
Library of Congress Subject Headings (LCSH):	Analysis of covariance, Magnetoencephalography, Visual perception, Attention -- Physiological aspects
Journal or Publication Title:	NeuroImage
Publisher:	Elsevier
ISSN:	1053-8119
Date:	1 January 2009
Volume:	Vol.44
Number:	No.1
Number of Pages:	11
Page Range:	pp. 164-174
Identification Number:	10.1016/j.neuroimage.2008.07.012
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Open Access
Funder:	National Institute for Biomedical Engineering and Bioimaging (NIBIB) (US), National Centre for Research Resources (NCRR) (US) , National Institute of Neurological Disorders and Stroke (NINDS) (US)
Grant number:	R01 EB002010 (NIBIB), P41 RR013642 (NCRR), NS27900, NS45171, T32-EY014536 (NINDS)
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URI:	http://wrap.warwick.ac.uk/id/eprint/41127

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