Pre-surgical fMRI data analysis using a spatially adaptive conditionally autoregressive model

DOI10.1214/15-BA972zbMath1359.62407OpenAlexW1866786460WikidataQ31067943 ScholiaQ31067943MaRDI QIDQ516492

Zhuqing Liu, Timothy D. Johnson, Veronica J. Berrocal, Andreas J. Bartsch

Publication date: 14 March 2017

Published in: Bayesian Analysis (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ba/1440594946

zbMATH Keywords

loss functionfMRI analysispre-surgical mappingspatially adaptive CAR models

Mathematics Subject Classification ID

Random fields; image analysis (62M40) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Related Items (4)

Objective Bayesian analysis for Gaussian hierarchical models with intrinsic conditional autoregressive priors ⋮ Variable selection via adaptive false negative control in linear regression ⋮ Bayesian inference for brain activity from functional magnetic resonance imaging collected at two spatial resolutions ⋮ The limiting distribution of the Gibbs sampler for the intrinsic conditional autoregressive model

Uses Software

• mcmcse
• FSL
• FreeSurfer
• neuRosim

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Adaptive spatial smoothing of fMRI images
• Markov chain Monte Carlo: can we trust the third significant figure?
• The statistical analysis of fMRI data
• Bayesian image restoration, with two applications in spatial statistics (with discussion)
• Inference from iterative simulation using multiple sequences
• Modeling Longitudinal Spatial Periodontal Data: A Spatially Adaptive Model with Tools for Specifying Priors and Checking Fit
• Efficiency of pseudolikelihood estimation for simple Gaussian fields
• On the distinction between the conditional probability and the joint probability approaches in the specification of nearest-neighbour systems
• Monte Carlo sampling methods using Markov chains and their applications
• Simulating normalizing constants: From importance sampling to bridge sampling to path sampling

This page was built for publication: Pre-surgical fMRI data analysis using a spatially adaptive conditionally autoregressive model