Abstract #301255

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JSM 2003 Abstract #301255
Activity Number: 9
Type: Invited
Date/Time: Sunday, August 3, 2003 : 2:00 PM to 3:50 PM
Sponsor: IMS
Abstract - #301255
Title: Recent Advances in Finding Signals in fMRI Data
Author(s): Keith J. Worsley*+
Companies: McGill University
Address: 805 Sherbrooke St. W, Montreal, PQ, H3A 2K6, Canada
Keywords: random fields ; fMRI
Abstract:

The last step in the detection of signal in fMRI data is the thresholding of a 3-D image of test statistics. We discuss and compare several ways of doing this, such as Bonferroni, false discovery rate, and methods based on random field theory. A commonly used alternative procedure is based on the spatial extent of clusters of contiguous voxels above a pre-chosen threshold. Choosing the appropriate threshold involves some recent developments of random field theory for manifolds. This involves embedding the brain in a higher dimensional Euclidean space so that it becomes 'flat' in the statistical sense - a feat guaranteed by the Nash Embedding Theorem. A curious by-product is an image of curvature of this manifold-fMRI data appears to be negatively curved in grey matter and positively curved in white matter. Implementing this in a practical setting requires some carefully written software that triangulates an isosurface in a manner akin to the Marching Cubes algorithm, extended to fill the interior with tetrahedra.

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