Graph Signal Processing For Neurogimaging to Reveal Dynamics of Brain Structure-Function Coupling

Linking time-varying functional brain activity with underlying neural architecture remains a complex and challenging endeavor. A recent framework for this undertaking is graph signal processing (GSP), where functional activity patterns are treated as signals living on a graph that is characterized b...

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Vydané v:	Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) s. 1 - 5
Hlavní autori:	Preti, Maria Giulia, W. Bolton, Thomas A., Griffa, Alessandra, De Ville, Dimitri Van
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 04.06.2023
Predmet:	Brain Couplings dynamic functional connectivity eigenconnectivities Filtering fMRI Functional magnetic resonance imaging Graph signal processing Image edge detection Measurement Signal processing structure-function coupling
ISSN:	2379-190X
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