s-SMOOTH: Sparsity and Smoothness Enhanced EEG Brain Tomography

EEG source imaging enables us to reconstruct current density in the brain from the electrical measurements with excellent temporal resolution (~ ). The corresponding EEG inverse problem is an ill-posed one that has infinitely many solutions. This is due to the fact that the number of EEG sensors is...

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Veröffentlicht in:	Frontiers in neuroscience Jg. 10; S. 543
Hauptverfasser:	Li, Ying, Qin, Jing, Hsin, Yue-Loong, Osher, Stanley, Liu, Wentai
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland Frontiers Research Foundation 28.11.2016 Frontiers Media S.A
Schlagworte:	Accuracy Algorithms Alternating direction method of multipliers (ADMM) Alzheimer's disease Contamination Cortex (temporal) difference of convex functions algorithm (DCA) Dimensional analysis EEG EEG source imaging Electroencephalography Event-related potentials Image processing inverse problem Inverse problems l_(1-2) regularization Localization Medical imaging Neuroimaging Neuroscience Optimization techniques Regularization methods Schizophrenia Sparsity Spatial distribution Tomography Total Generalized Variation (TGV) Los Angeles California United States > US California difference of convex functions algorithm (DCA) ℓ1−2 regularization inverse problem alternating direction method of multipliers (ADMM) total generalized variation (TGV) EEG source imaging
ISSN:	1662-453X, 1662-4548, 1662-453X
Online-Zugang:	Volltext
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