Accurately Modeling the Resting Brain Functional Correlations Using Wave Equation With Spatiotemporal Varying Hypergraph Laplacian

How spontaneous brain neural activities emerge from the underlying anatomical architecture, characterized by structural connectivity (SC), has puzzled researchers for a long time. Over the past decades, much effort has been directed toward the graph modeling of SC, in which the brain SC is generally...

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Veröffentlicht in:	IEEE transactions on medical imaging Jg. 41; H. 12; S. 3787 - 3798
Hauptverfasser:	Wang, Yanjiang, Ma, Jichao, Chen, Xue, Liu, Baodi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.12.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Brain Brain connectivity Brain modeling Correlation Couplings Formulas (mathematics) Graph representations Graph theory Graphical representations Laplace equations Mathematical models Modelling Neural activity Neural networks Predictive models Propagation resonance Resonant frequencies spatiotemporal varying hypergraph Laplacian structure-function relation wave equation Wave equations Wave propagation
ISSN:	0278-0062, 1558-254X, 1558-254X
Online-Zugang:	Volltext
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