Spatiotemporal modeling of brain dynamics using resting-state functional magnetic resonance imaging with Gaussian hidden Markov model

S Chen, J Langley, X Chen, X Hu - Brain connectivity, 2016 - liebertpub.com
Analyzing functional magnetic resonance imaging (fMRI) time courses with dynamic
approaches has generated a great deal of interest because of the additional temporal …
被引用次数：46 相关文章

Spatiotemporal Modeling of Brain Dynamics Using Resting-State Functional Magnetic Resonance Imaging with Gaussian Hidden Markov Model.

S Chen, J Langley, X Chen, X Hu - Brain Connectivity, 2016 - europepmc.org
Analyzing functional magnetic resonance imaging (fMRI) time courses with dynamic
approaches has generated a great deal of interest because of the additional temporal …

Spatiotemporal Modeling of Brain Dynamics Using Resting-State Functional Magnetic Resonance Imaging with Gaussian Hidden Markov Model

S Chen, J Langley, X Chen, X Hu - Brain Connectivity, 2016 - search.proquest.com
Analyzing functional magnetic resonance imaging (fMRI) time courses with dynamic
approaches has generated a great deal of interest because of the additional temporal …

Spatiotemporal Modeling of Brain Dynamics Using Resting-State Functional Magnetic Resonance Imaging with Gaussian Hidden Markov Model

S Chen, J Langley, X Chen, X Hu - Brain connectivity, 2016 - pubmed.ncbi.nlm.nih.gov
Analyzing functional magnetic resonance imaging (fMRI) time courses with dynamic
approaches has generated a great deal of interest because of the additional temporal …