Bayesian estimation of maximum entropy model for individualized energy landscape analysis of brain state dynamics

Bayesian estimation of maximum entropy model for individualized energy landscape analysis of brain state dynamics

The pairwise maximum entropy model (MEM) for resting state functional MRI (rsfMRI) has been used to generate energy landscape of brain states and to explore nonlinear brain state dynamics. Researches using MEM, however, has mostly been restricted to fixed-effect group-level analyses, using concatena...

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Bibliographic Details
Main Authors: Jeong, S.-O (Author), Kang, J. (Author), Pae, C. (Author), Park, H.-J (Author)
Format: Article
Language:English
Published: John Wiley and Sons Inc 2021
Subjects:
adult
article
Bayes theorem
Bayes Theorem
Bayesian estimation
brain
Brain
connectome
Connectome
controlled study
correlation analysis
diagnostic imaging
energy landscape
entropy
Entropy
female
functional connectivity
functional magnetic resonance imaging
human
human experiment
human tissue
Humans
Magnetic Resonance Imaging
male
maximum entropy model
maximum likelihood method
Models, Theoretical
nerve cell network
Nerve Net
nonlinear brain dynamics
nuclear magnetic resonance imaging
occupation
physiology
procedures
resting state fMRI
sample size
simulation
theoretical model
time series analysis
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