A fully Bayesian approach for comprehensive mapping of magnitude and phase brain activation in complex-valued fMRI data

Functional magnetic resonance imaging (fMRI) plays a crucial role in neuroimaging, enabling the exploration of brain activity through complex-valued signals. These signals, composed of magnitude and phase, offer a rich source of information for understanding brain functions. Traditional fMRI analyse...

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Bibliographic Details
Published in:	Magnetic resonance imaging Vol. 109; pp. 271 - 285
Main Authors:	Wang, Zhengxin, Rowe, Daniel B., Li, Xinyi, Brown, D. Andrew
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier Inc 01.06.2024
Subjects:	Bayes Theorem Brain - diagnostic imaging Brain - physiology Brain Mapping - methods Computer Simulation Gibbs sampling Magnetic Resonance Imaging - methods Parallel computation Phase analysis Rowe–Logan Spike and slab prior Variable selection Spike and slab prior Parallel computation Gibbs sampling Phase analysis Rowe–Logan Variable selection
ISSN:	0730-725X, 1873-5894, 1873-5894
Online Access:	Get full text
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