Electromagnetic Brain Imaging

A Bayesian Perspective

Kensuke Sekihara, Srikantan S. Nagarajan (Autoren)

Buch | Softcover

XIV, 270 Seiten

2016 | 1. Softcover reprint of the original 1st ed. 2015
Springer International Publishing (Verlag)
978-3-319-35643-3 (ISBN)

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This graduate level textbook provides a coherent introduction to the body of main-stream algorithms used in electromagnetic brain imaging, with specific emphasis on novel Bayesian algorithms. It helps readers to more easily understand literature in biomedical engineering and related fields and be ready to pursue research in either the engineering or the neuroscientific aspects of electromagnetic brain imaging. This textbook will not only appeal to graduate students but all scientists and engineers engaged in research on electromagnetic brain imaging.

Introduction to Electromagnetic Brain Imaging.- Minimum-Norm-Based Source Imaging Algorithms.- Adaptive Beamformers.- Sparse Bayesian (Champagne) Algorithm.- Bayesian Factor Analysis: A Versatile Framework.- A Unified Bayesian Framework for MEG/EEG Source.- Source-Space Connectivity Analysis Using Imaginary.- Estimation of Causal Networks: Source-Space Causality Analysis.- Detection of Phase-Amplitude Coupling in MEG Source Space: An Empirical Study.

Erscheinungsdatum	14.10.2016
Zusatzinfo	XIV, 270 p. 32 illus., 27 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	444 g
Themenwelt	Medizin / Pharmazie ► Physiotherapie / Ergotherapie ► Orthopädie
	Medizin / Pharmazie ► Studium
	Naturwissenschaften ► Biologie ► Humanbiologie
Schlagworte	Bayesian algorithms • Biomedical and Life Sciences • biomedical engineering • Brain source reconstruction methods using MEG and • Brain source reconstruction methods using MEG and EEG • electromagnetic brain imaging • Medical Research • MEG / EEG • Neurobiology • Neurosciences • Noninvasive reconstructions of brain activity and • Noninvasive reconstructions of brain activity and connectivity • Signal processing algorithms
ISBN-10	3-319-35643-7 / 3319356437
ISBN-13	978-3-319-35643-3 / 9783319356433
Zustand	Neuware