Singh, Krish Devi ![]() |
Abstract
Synthetic aperture magnetometry (SAM) is a nonlinear beamformer technique for producing 3D images of cortical activity from magnetoencephalography data. We have previously shown how SAM images can be spatially normalised and averaged to form a group image. In this paper we show how nonparametric permutation methods can be used to make robust statistical inference about group SAM data. Data from a biological motion direction discrimination experiment were analysed using both a nonparametric analysis toolbox (SnPM) and a conventional parametric approach utilising Gaussian field theory. In data from a group of six subjects, we were able to show robust group activation at the P < 0.05 (corrected) level using the nonparametric methods, while no significant clusters were found using the conventional parametric approach. Activation was found using SnPM in several regions of right occipital–temporal cortex, including the superior temporal sulcus, V5/MT, the fusiform gyrus, and the lateral occipital complex.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Psychology Neuroscience and Mental Health Research Institute (NMHRI) |
Subjects: | B Philosophy. Psychology. Religion > BF Psychology |
Publisher: | Elsevier |
ISSN: | 1095-9572 |
Last Modified: | 17 Oct 2022 09:30 |
URI: | https://orca.cardiff.ac.uk/id/eprint/3392 |
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