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Advances in functional and structural MR image analysis and implementation as FSL
Characterization and propagation of uncertainty in diffusion‐weighted MR imaging
- Timothy Edward John Behrens, M. Woolrich, S.M. Smith
- MathematicsMagnetic resonance in medicine
- 1 November 2003
A fully probabilistic framework is presented for estimating local probability density functions on parameters of interest in a model of diffusion, allowing for the quantification of belief in tractography results and the estimation of the cortical connectivity of the human thalamus.
Bayesian analysis of neuroimaging data in FSL
Probabilistic diffusion tractography with multiple fibre orientations: What can we gain?
Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging
The results provide the first quantitative demonstration of reliable inference of anatomical connectivity between human gray matter structures using diffusion data and the first connectivity-based segmentation of gray matter.
Temporal Autocorrelation in Univariate Linear Modeling of FMRI Data
Estimation is improved by using nonlinear spatial filtering to smooth the estimated autocorrelation, but only within tissue type, and reduced bias to close to zero at probability levels as low as 1 x 10(-5).
Network modelling methods for FMRI
Learning the value of information in an uncertain world
It is shown that human subjects assess volatility in an optimal manner and adjust decision-making accordingly, and this optimal estimate of volatility is reflected in the fMRI signal in the anterior cingulate cortex when each trial outcome is observed.