Relating structural and functional connectivity in MRI: A simple model for a complex brain

IEEE Transactions on Medical Imaging

Volumn 34, Issue 1, 2015, Pages 27-37

  Messe, Arnaud ^a,b   Benali, Habib ^a   Marrelec, Guillaume ^a  

^a SORBONNE UNIVERSITÉ   (France)

^b UNIVERSITY MEDICAL CENTER HAMBURG EPPENDORF   (Germany)

Author keywords

Bayesian inference; generative models; human brain connectivity; magnetic resonance imaging (MRI); simultaneous autoregressive model

Indexed keywords

BAYESIAN NETWORKS; BRAIN; COMPLEX NETWORKS; INFERENCE ENGINES; MAGNETIC RESONANCE IMAGING; PARAMETER ESTIMATION;

BAYESIAN INFERENCE; DIFFUSION WEIGHTED IMAGING; FUNCTIONAL CONNECTIVITY; GENERATIVE MODEL; HUMAN BRAIN; SIMULTANEOUS AUTOREGRESSIVE MODEL; STRUCTURAL CONNECTIVITY; STRUCTURAL EQUATION MODELING;

FUNCTIONAL NEUROIMAGING;

BIOLOGICAL MARKER;

ACCURACY; ADULT; ARTICLE; BAYESIAN LEARNING; BRAIN; BRAIN REGION; DIFFUSION WEIGHTED IMAGING; ELECTROENCEPHALOGRAM; FEMALE; HUMAN; HUMAN EXPERIMENT; MALE; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; RELIABILITY; RESTING STATE NETWORK; STRUCTURAL EQUATION MODELING; BAYES THEOREM; BIOLOGICAL MODEL; IMAGE PROCESSING; NERVE CELL NETWORK; PHYSIOLOGY; PROCEDURES; YOUNG ADULT;

ADULT; BAYES THEOREM; BRAIN; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MODELS, NEUROLOGICAL; NERVE NET; YOUNG ADULT;

EID: 84920166877     PISSN: 02780062     EISSN: 1558254X     Source Type: Journal    
DOI: 10.1109/TMI.2014.2341732     Document Type: Article

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