Journal ArticleDOI
A general statistical analysis for fMRI data.
Keith J. Worsley,C. H. Liao,John A. D. Aston,John A. D. Aston,John A. D. Aston,Valentina Petre,Gary H. Duncan,F. Morales,Alan C. Evans +8 more
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TLDR
A simple bias reduction and regularization for voxel-wise autoregressive model parameters and overcoming the problem of a small number of runs/session/subjects using a regularized variance ratio to increase the degrees of freedom are proposed.About:
This article is published in NeuroImage.The article was published on 2000-05-01. It has received 1171 citations till now. The article focuses on the topics: Random effects model & Linear model.read more
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Mixed-effects modeling with crossed random effects for subjects and items
TL;DR: In this article, the authors provide an introduction to mixed-effects models for the analysis of repeated measurement data with subjects and items as crossed random effects, and a worked-out example of how to use recent software for mixed effects modeling is provided.
Journal ArticleDOI
Multilevel linear modelling for FMRI group analysis using Bayesian inference.
Mark W. Woolrich,Mark W. Woolrich,Timothy E.J. Behrens,Timothy E.J. Behrens,Christian F. Beckmann,Christian F. Beckmann,Mark Jenkinson,Stephen M. Smith +7 more
TL;DR: This work introduces to neuroimage modelling the approach of reference priors, which drives the choice of prior such that it is noninformative in an information-theoretic sense, and proposes two inference techniques at the top level for multilevel hierarchies.
Journal ArticleDOI
General multilevel linear modeling for group analysis in FMRI.
TL;DR: It is demonstrated that by taking into account lower-level covariances and heterogeneity a substantial increase in higher-level Z score is possible, and this result has significant implications for group studies in FMRI.
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Anatomically distinct dopamine release during anticipation and experience of peak emotion to music
TL;DR: It is found that intense pleasure in response to music can lead to dopamine release in the striatal system, and this results help to explain why music is of such high value across all human societies.
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Population receptive field estimates in human visual cortex
TL;DR: The pRF method is non-invasive and can be applied to a wide range of conditions when it is useful to link fMRI signals in the visual pathways to neuronal receptive fields, and the visual field maps obtained are more accurate than those obtained using conventional visual field mapping.
References
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Statistical parametric maps in functional imaging: A general linear approach
Karl J. Friston,Andrew P. Holmes,Keith J. Worsley,J-B. Poline,Chris D. Frith,Richard S. J. Frackowiak +5 more
TL;DR: In this paper, the authors present a general approach that accommodates most forms of experimental layout and ensuing analysis (designed experiments with fixed effects for factors, covariates and interaction of factors).
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A unified statistical approach for determining significant signals in images of cerebral activation.
TL;DR: A unified statistical theory for assessing the significance of apparent signal observed in noisy difference images is presented and an estimate of the P‐value for local maxima of Gaussian, t, χ2 and F fields over search regions of any shape or size in any number of dimensions is estimated.
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Analysis of fMRI time-series revisited--again.
Keith J. Worsley,Karl J. Friston +1 more
TL;DR: Correct results are presented that replace those of the previous paper and solve the same problem without recourse to heuristic arguments and a proper and unbiased estimator for the error terms are introduced.
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Event-Related fMRI: Characterizing Differential Responses
Karl J. Friston,Paul C. Fletcher,Oliver Josephs,Andrew P. Holmes,Michael D. Rugg,Michael D. Rugg,Robert Turner +6 more
TL;DR: This paper focuses on bilateral ventrolateral prefrontal responses that show deactivations for previously seen words and activations for novel words in functional magnetic resonance imaging that are evoked by different sorts of stimuli.