Tensor Based Temporal and Multilayer Community Detection for Studying Brain Dynamics During Resting State fMRI

Objective: In recent years, resting state fMRI has been widely utilized to understand the functional organization of the brain for healthy and disease populations. Recent studies show that functional connectivity during resting state is a dynamic process. Studying this temporal dynamics provides a b...

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Vydáno v:	IEEE transactions on biomedical engineering Ročník 66; číslo 3; s. 695 - 709
Hlavní autoři:	Al-sharoa, Esraa, Al-khassaweneh, Mahmood, Aviyente, Selin
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.03.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Adult Algorithms Brain Brain - diagnostic imaging Brain - physiology Brain architecture Brain mapping Cognitive ability Communities Community structure Consistency Dynamic functional connectivity networks Dynamics Evolution Functional magnetic resonance imaging Functional morphology Hidden Markov models Humans Image Processing, Computer-Assisted - methods Magnetic Resonance Imaging - methods Male Mathematical analysis Matrix decomposition Measurement Multilayers Network analysis Networks Neural networks Organizations Population studies Principal component analysis Rest - physiology resting state fMRI (rs-fMRI) spectral clustering Tensile stress tensor decomposition Tensors Young Adult
ISSN:	0018-9294, 1558-2531, 1558-2531
On-line přístup:	Získat plný text
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