Recovering the information in the drift of fMRI data⋆ (2009)
The purpose of this abstract is to investigate the possibility of recovering the information in the drift in fMRI data, paralleling the recovery of inter-block information in ANOVA pioneered by Yates...
Jonathan E. Taylor, Keith J. Worsley
Detecting fMRI activation allowing for unknown
Keith J. Worsley, Steve Robbins, Tomas Paus, Jonathan Taylor, Jay N. Giedd, Judith L. Rapoport, ...
We present a unified statistical approach to deformation-based morphometry applied to the cortical surface. The cerebral cortex has the topology of a 2D highly convoluted sheet. As the brain develops...
Moo K. Chung, Keith J. Worsley, D Steve Robbins, D Jonathan Taylor, Jay N. Giedd, ...
Deformation-based surface morphometry applied to gray
Testing for a Signal with Unknown Location and Scale in a Stationary Gaussian Random Field (2006)
Siegmund, David O., Worsley, Keith J.
We suppose that our observations can be decomposed into a fixed signal plus random noise, where the noise is modelled as a particular stationary Gaussian random field in N-dimensional Euclidean...
An improved theoretical P-value for SPMs based on discrete local maxima (2005)
We present a new continuity correction to the P-value for local maxima of a statistical parametric map that bridges the gap between small FWHM, when the Bonferroni correction is accurate, and large...
Tensor-based brain surface modeling and analysis (2003)
Moo K. Chung, Keith J. Worsley, Steve Robbins, Alan C. Evans
We present a unified computational approach to tensorbased morphometry in detecting the brain surface shape difference between two clinical groups based on magnetic resonance images. Our approach is...
Siegmund and Worsley (1995) considered the problem of testing for signals with unknown location and scale in a Gaussian random field defined on RN. The test statistic was the maximum of a Gaussian...
The detection of local shape changes via the geometry of Hotelling's $T^2$ fields (1999)
This paper is motivated by the problem of detecting local changes or differences in shape between two samples of objects via the nonlinear deformations required to map each object to an atlas...
Stefan J. Kiebel, Jean-baptiste Poline, Karl J. Friston, Andrew P. Holmes, Keith J. Worsley
The assessment of significant activations in functional imaging using voxel-based methods often relies on results derived from the theory of Gaussian random fields. These results solve the multiple...
The Detection Of Local Shape Changes Via The Geometry Of Hotelling's T² Fields (1999)
This paper is motivated by the problem of detecting local changes or dierences in shape between two samples of objects via the non-linear deformations required to map each object to an atlas...
Testing For Signals With Unknown Location And Scale In A. . . (1998)
Siegmund & Worsley (1995) considered the problem of testing for signals with unknown location and scale in a Gaussian random field defined on ! N . The test statistic was the maximum of a...
Testing for a signal with unknown location and scale in a stationary Gaussian random field (1995)
David O. Siegmund, Keith J. Worsley
this paper are concerned with approximate evaluation of the significance level of the test defined by (1.5), i.e., the probability when = 0 that X max exceeds a constant threshold, say b. First order...
Tests for Distributed, Non-focal Brain Avtivations (1995)
Keith J. Worsley, Jean-Baptiste Poline, J-b. Poline, A. C. Vandal, Karl J. Friston
this paper we consider the usefulness of a test based on the mean sum of squares of statistical parametric maps. The performance of this test is evaluated using simulated and real data, and compared...
Detecting and estimating the regions of activation in CBF activation studies in human brain (1993)
Keith J. Worsley, Alan C. Evans, Sean Marrett, Peter Neelin
This paper has proposed a test for regions of activation based on the maximum value. It suffers from the same problem of over-correction as all tests, such as a Bonferroni-corrected test, which...
Comparing functional connectivity via thresholding correlations and singular value decomposition
Worsley, Keith J, Chen, Jen-I, Lerch, Jason, Evans, Alan C
We compare two common methods for detecting functional connectivity: thresholding correlations and singular value decomposition (SVD). We find that thresholding correlations are better at detecting...
Guidelines for reporting an fMRI study
Poldrack, Russell A., Fletcher, Paul C., Henson, Richard N., Worsley, Keith J., Brett, Matthew, Nichols, Thomas E.
In this editorial, we outline a set of guidelines for the reporting of methods and results in functional magnetic resonance imaging studies and provide a checklist to assist authors in preparing...