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A novel ANCOVA design for analysis of MEG data with application to a visual attention study
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Pantazis, Dimitrios, Simpson, Gregory V., Weber, Darren L., Dale, Corby Leslie, 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. doi:10.1016/j.neuroimage.2008.07.012 ISSN 1053-8119.
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Official URL: http://dx.doi.org/10.1016/j.neuroimage.2008.07.012
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 | ||||
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| Subjects: | B Philosophy. Psychology. Religion > BF Psychology Q Science > QA Mathematics R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry |
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| Divisions: | Faculty of Science, Engineering and Medicine > Science > Statistics Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) |
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| 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 | ||||
| Official Date: | 1 January 2009 | ||||
| Dates: |
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| Volume: | Vol.44 | ||||
| Number: | No.1 | ||||
| Number of Pages: | 11 | ||||
| Page Range: | pp. 164-174 | ||||
| DOI: | 10.1016/j.neuroimage.2008.07.012 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Open Access (Creative Commons) | ||||
| 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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