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Statistical parametric maps are spatially extended statistical processes that are used to test hypotheses about regionally specific effects in neuroimaging data. The most established sorts ofâ€¦ (More)

A unified statistical approach for determining significant signals in images of cerebral activation.

- K. J. Worsley, Sean Marrett, Peter Neelin, Alain C. Vandal, Karl J. Friston, Alan C. Evans
- Human brain mapping
- 1996

We present a unified statistical theory for assessing the significance of apparent signal observed in noisy difference images. The results are usable in a wide range of applications, including fMRI,â€¦ (More)

- K. J. Worsley, Alan C. Evans, Sean Marrett, Peter Neelin
- Journal of cerebral blood flow and metabolismâ€¦
- 1992

Many studies of brain function with positron emission tomography (PET) involve the interpretation of a subtracted PET image, usually the difference between two images under baseline and stimulationâ€¦ (More)

- Karl J. Friston, K. J. Worsley, Richard S. Frackowiak, John C. Mazziotta, Alan C. Evans
- Human brain mapping
- 1994

Current approaches to detecting significantly activated regions of cerebral tissue use statistical parametric maps, which are thresholded to render the probability of one or more activated regions ofâ€¦ (More)

- Jean-Baptiste Poline, K. J. Worsley, Alan C. Evans, Karl J. Friston
- NeuroImage
- 1997

Within the framework of statistical mapping, there are up to now only two tests used to assess the regional significance in functional images. One is based on the magnitude of the foci and tends toâ€¦ (More)

- K. J. Worsley, C H Liao, +4 authors Alan C. Evans
- NeuroImage
- 2002

We propose a method for the statistical analysis of fMRI data that seeks a compromise between efficiency, generality, validity, simplicity, and execution speed. The main differences between thisâ€¦ (More)

- K. J. Worsley, Karl J. Friston
- NeuroImage
- 1995

Friston et al. (1995, NeuroImage 2:45-53) presented a method for detecting activations in fMRI time-series based on the general linear model and a heuristic analysis of the effective degrees ofâ€¦ (More)

- K. J. Worsley
- 1994

The maximum of a Gaussian random field was used by Worsley et al. (1992) to test for activation at an unknown point in positron emission tomography images of blood flow in the human brain. The Eulerâ€¦ (More)

- K. J. Worsley, J. B. Poline, Karl J. Friston, Alan C. Evans
- NeuroImage
- 1997

This paper presents a new method for characterizing brain responses in both PET and fMRI data. The aim is to capture the correlations between the scans of an experiment and a set of externalâ€¦ (More)

- K. J. Worsley, M. Andermann, Theodoro Koulis, D.R. Macdonald, Alan C. Evans
- Human brain mapping
- 1999

If the noise component of image data is nonisotropic, i.e., if it has nonconstant smoothness or effective point spread function, then theoretical results for the P value of local maxima and the sizeâ€¦ (More)