Structurally-informed Bayesian functional connectivity analysis

NeuroImage

Volumn 86, Issue , 2014, Pages 294-305

  Hinne, Max ^a,b   Ambrogioni, Luca ^a   Janssen, Ronald J ^a   Heskes, Tom ^b   van Gerven, Marcel A J ^a  

^a RADBOUD UNIVERSITY   (Netherlands)

^b RADBOUD UNIVERSITY NIJMEGEN   (Netherlands)

Author keywords

Bayesian inference; Functional connectivity; G Wishart prior; Structural connectivity

Indexed keywords

ARTICLE; BAYES THEOREM; BAYESIAN FUNCTIONAL CONNECTIVITY ANALYSIS; BOLD SIGNAL; COMPARATIVE STUDY; COMPUTER SIMULATION; CONNECTOME; CONTROLLED STUDY; DIFFUSION WEIGHTED IMAGING; FALSE NEGATIVE RESULT; FALSE POSITIVE RESULT; FEASIBILITY STUDY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; G WISHART APPROACH; GRAPHICAL LASSO ANALYSIS; HUMAN; HUMAN EXPERIMENT; IMAGE PROCESSING; IMAGE RECONSTRUCTION; LEFT HEMISPHERE; MAXIMUM LIKELIHOOD METHOD; NEUROANATOMY; NEUROIMAGING; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE SCANNER; POSTERIOR DENSITY; PRECISION MATRIX; PRIORITY JOURNAL; RESTING STATE NETWORK; RIGHT HEMISPHERE; STATISTICAL ANALYSIS; STATISTICAL DISTRIBUTION; STATISTICAL MODEL; STATISTICAL PARAMETERS; TIME SERIES ANALYSIS; UNCERTAINTY; VALIDATION PROCESS; ACCURACY; ANALYSIS OF COVARIANCE; BRAIN FUNCTION; BRAIN REGION; CORRELATIONAL STUDY; G WISHART PRIOR; QUANTITATIVE STUDY; SIMULATION; STATISTICAL CONCEPTS; STRUCTURAL CONNECTIVITY; STRUCTURE ANALYSIS;

BAYESIAN INFERENCE; FUNCTIONAL CONNECTIVITY; G-WISHART PRIOR; STRUCTURAL CONNECTIVITY;

BAYES THEOREM; BRAIN; CONNECTOME; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; NERVE NET; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84891556785     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2013.09.075     Document Type: Article

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