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- Thomas E. Nichols, Andrew P. Holmes
- Human brain mapping
- 2002
Requiring only minimal assumptions for validity, nonparametric permutation testing provides a flexible and intuitive methodology for the statistical analysis of data from functional neuroimaging… (More)
- Karl J. Friston, Andrew P. Holmes, +4 authors Robert Turner
- NeuroImage
- 1995
This paper presents a general approach to the analysis of functional MRI time-series from one or more subjects. The approach is predicated on an extension of the general linear model that allows for… (More)
- Karl J. Friston, Andrew P. Holmes, Jean-Baptiste Poline, Cathy J. Price, Christopher D. Frith
- NeuroImage
- 1996
This paper is about detecting activations in statistical parametric maps and considers the relative sensitivity of a nested hierarchy of tests that we have framed in terms of the level of inference… (More)
- Andrew P. Holmes, R. Clifford Blair, Joanne D Watson, Ian Ford Ford
- Journal of cerebral blood flow and metabolism…
- 1996
The analysis of functional mapping experiments in positron emission tomography involves the formation of images displaying the values of a suitable statistic, summarising the evidence in the data for… (More)
- Karl J. Friston, Andrew P. Holmes, Keith J. Worsley
- NeuroImage
- 1999
In fMRI there are two classes of inference: one aims to make a comment about the "typical" characteristics of a population, and the other about "average" characteristics. The first pertains to… (More)
- Andrew P. Holmes, Karl J. Friston
- NeuroImage
- 1998
- Karl J. Friston, Andrew P. Holmes, Cathy J. Price, Christian Büchel, Keith J. Worsley
- NeuroImage
- 1999
In this paper we present an approach to making inferences about generic activations in groups of subjects using fMRI. In particular we suggest that activations common to all subjects reflect aspects… (More)
- Karl J. Friston, Oliver Josephs, Eric Zarahn, Andrew P. Holmes, Stéphanie Rouquette, Jean-Baptiste Poline
- NeuroImage
- 2000
This paper concerns temporal filtering in fMRI time-series analysis. Whitening serially correlated data is the most efficient approach to parameter estimation. However, if there is a discrepancy… (More)
- Christian Büchel, Andrew P. Holmes, Geraint Rees, Karl J. Friston
- NeuroImage
- 1998
Parametric study designs proved very useful in characterizing the relationship between experimental parameters (e.g., word presentation rate) and regional cerebral blood flow in positron emission… (More)