PMID: 9438447Jan 23, 1998Paper

Probabilistic analysis of functional magnetic resonance imaging data

Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine
L R FrankE C Wong

Abstract

Probability theory is applied to the analysis of fMRI data. The posterior distribution of the parameters is shown to incorporate all the information available from the data, the hypotheses, and the prior information. Under appropriate simplifying conditions, the theory reduces to the standard statistical test, including the general linear model. The theory is particularly suited to handle the spatial variations in the noise present in fMRI, allowing the comparison of activated voxels that have different, and unknown, noise. The theory also explicitly includes prior information, which is shown to be critical in the attainment of reliable activation maps.

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Citations

Jun 17, 1999·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·B A Ardekani
May 30, 2001·Magnetic Resonance in Medicine : Official Journal of the Society of Magnetic Resonance in Medicine·J KershawI Kanno
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Mar 22, 2005·Journal of Magnetic Resonance Imaging : JMRI·Karsten MüllerD Yves von Cramon
Jun 10, 2008·NeuroImage·F de PasqualeG L Romani
Nov 26, 2008·Journal of Magnetic Resonance Imaging : JMRI·Thomas Rudert, Gabriele Lohmann
Mar 19, 2004·IEEE Transactions on Medical Imaging·Hamid Soltanian-ZadehRenee R Lajiness-O'Neill
May 8, 1999·IEEE Transactions on Medical Imaging·B A ArdekaniI Kanno
May 14, 2005·IEEE Transactions on Medical Imaging·J Sijbers, A J den Dekker
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Oct 3, 2017·Frontiers in Neuroscience·Ludger Starke, Dirk Ostwald

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