Modeling inter-subject variability in fMRI activation location: A bayesian hierarchical spatial model

Biometrics

Volumn 65, Issue 4, 2009, Pages 1041-1051

  Xu, Lei ^a   Johnson, Timothy D ^b   Nichols, Thomas E ^b,c,d   Nee, Derek E ^e  

^a VANDERBILT UNIVERSITY MEDICAL CENTER   (United States)

^b UNIVERSITY OF MICHIGAN SCHOOL OF PUBLIC HEALTH   (United States)

^c HAMMERSMITH HOSPITAL   (United Kingdom)

^d UNIVERSITY OF OXFORD   (United Kingdom)

^e UNIVERSITY OF MICHIGAN   (United States)

Author keywords

Bayesian hierarchical model; Functional brain mapping; Multi subject fMRI data analysis; Reversible jump Markov chain Monte Carlo; Spatial mixture model

Indexed keywords

ACTIVATION ANALYSIS; BRAIN MAPPING; CHAINS; HIERARCHICAL SYSTEMS; LOCATION; MARKOV PROCESSES; MONTE CARLO METHODS;

BAYESIAN; BAYESIAN HIERARCHICAL MODELLING; FMRI DATA; FMRI DATA ANALYSIS; FUNCTIONAL BRAIN MAPPING; MULTI-SUBJECT FMRI DATA ANALYSE; REVERSIBLE JUMP MARKOV CHAIN MONTE CARLO; SPATIAL MIXTURE MODELS; SPATIAL MODELLING; UNIVARIATE MODELS;

CHEMICAL ACTIVATION;

BAYESIAN ANALYSIS; HIERARCHICAL SYSTEM; PROBABILITY;

ACCURACY; ARTICLE; BAYES THEOREM; BRAIN MAPPING; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; IMAGE ANALYSIS; MONTE CARLO METHOD; PARAMETER; PROBABILITY; STANDARD; THEORETICAL MODEL;

EID: 70450242686     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2008.01190.x     Document Type: Article

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