[BOOK][B] Statistical parametric mapping: the analysis of functional brain images
In an age where the amount of data collected from brain imaging is increasing constantly, it
is of critical importance to analyse those data within an accepted framework to ensure proper …
is of critical importance to analyse those data within an accepted framework to ensure proper …
Comparing dynamic causal models
This article describes the use of Bayes factors for comparing dynamic causal models (DCMs).
DCMs are used to make inferences about effective connectivity from functional magnetic …
DCMs are used to make inferences about effective connectivity from functional magnetic …
Modeling regional and psychophysiologic interactions in fMRI: the importance of hemodynamic deconvolution
The analysis of functional magnetic resonance imaging (fMRI) time-series data can provide
information not only about task-related activity, but also about the connectivity (functional or …
information not only about task-related activity, but also about the connectivity (functional or …
Conjunction revisited
KJ Friston, WD Penny, DE Glaser - Neuroimage, 2005 - Elsevier
The aim of this note is to revisit the analysis of conjunctions in imaging data. We review
some conceptual issues that have emerged from recent discussion (Nichols, T., Brett, M., …
some conceptual issues that have emerged from recent discussion (Nichols, T., Brett, M., …
Classical and Bayesian inference in neuroimaging: theory
This paper reviews hierarchical observation models, used in functional neuroimaging, in a
Bayesian light. It emphasizes the common ground shared by classical and Bayesian methods …
Bayesian light. It emphasizes the common ground shared by classical and Bayesian methods …
Angiogenic Gene Therapy (AGENT) trial in patients with stable angina pectoris
CL Grines, MW Watkins, G Helmer, W Penny… - Circulation, 2002 - Am Heart Assoc
Background— The angiogenic response to myocardial ischemia can be augmented in animal
models by gene transfer with the use of a replication defective adenovirus (Ad) containing …
models by gene transfer with the use of a replication defective adenovirus (Ad) containing …
Multivariate autoregressive modeling of fMRI time series
We propose the use of multivariate autoregressive (MAR) models of functional magnetic
resonance imaging time series to make inferences about functional integration within the …
resonance imaging time series to make inferences about functional integration within the …
[HTML][HTML] Comparing dynamic causal models using AIC, BIC and free energy
WD Penny - Neuroimage, 2012 - Elsevier
In neuroimaging it is now becoming standard practise to fit multiple models to data and
compare them using a model selection criterion. This is especially prevalent in the analysis of …
compare them using a model selection criterion. This is especially prevalent in the analysis of …
Bayesian approaches to Gaussian mixture modeling
…, D Husmeier, I Rezek, W Penny - IEEE Transactions on …, 1998 - ieeexplore.ieee.org
A Bayesian-based methodology is presented which automatically penalizes overcomplex
models being fitted to unknown data. We show that, with a Gaussian mixture model, the …
models being fitted to unknown data. We show that, with a Gaussian mixture model, the …
[HTML][HTML] High risk of thromboemboli early after bioprosthetic cardiac valve replacement
OBJECTIVES.: We studied the rate of thromboembolism in patients undergoing bioprosthetic
replacement of the aortic or mitral valve, or both, at serial intervals after operation and the …
replacement of the aortic or mitral valve, or both, at serial intervals after operation and the …