| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6031938 | NeuroImage | 2012 | 12 Pages |
Abstract
⺠We outline two methods for detecting functional networks in task positive MEG data. ⺠First is an analysis to find the optimum time-frequency window for FC detection. ⺠The second combines independent component analysis with the general linear model. ⺠Methods are applied to resting state and working memory task data. ⺠ICA/GLM reduces multiple comparisons and localises hippocampi.
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Authors
H. Luckhoo, J.R. Hale, M.G. Stokes, A.C. Nobre, P.G. Morris, M.J. Brookes, M.W. Woolrich,