Fast Bayesian whole-brain fMRI analysis with spatial 3D priors

NeuroImage

Volumn 146, Issue , 2017, Pages 211-225

  Sidén, Per ^a   Eklund, Anders ^a   Bolin, David ^b   Villani, Mattias ^a  

^a LINKÖPING UNIVERSITY   (Sweden)

^b UNIVERSITY OF GOTHENBURG   (Sweden)

Author keywords

fMRI; Gaussian Markov random fields; General linear model; Markov chain Monte Carlo; Spatial priors; Variational Bayes

Indexed keywords

ALGORITHM; ARTICLE; BAYES THEOREM; DATA PROCESSING; FUNCTIONAL MAGNETIC RESONANCE IMAGING; MARKOV CHAIN; MONTE CARLO METHOD; NEUROIMAGING; PRIORITY JOURNAL; PROCESS OPTIMIZATION; THREE DIMENSIONAL IMAGING; BIOLOGICAL MODEL; BRAIN; BRAIN MAPPING; HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY;

ALGORITHMS; BAYES THEOREM; BRAIN; BRAIN MAPPING; HUMANS; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MARKOV CHAINS; MODELS, NEUROLOGICAL; MONTE CARLO METHOD;

EID: 84999622353     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2016.11.040     Document Type: Article

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