EEG/MEG Source Reconstruction

Name: EEG/MEG Source Reconstruction
Brand: Springer Nature Switzerland AG
SKU: 9783030749163
Price: 271.09 RON
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Textbook for Electro-and Magnetoencephalography

Autor: Thomas R. Knoesche, Jens Haueisen

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Editura: Springer Nature Switzerland AG

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This textbook provides a comprehensive and didactic introduction from the basics to the current stat...

Informații despre carte

Autor

Thomas R. Knoesche, Jens Haueisen

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2022

Pagini

415

EAN

9783030749163

ISBN

3030749169

Enbook ID

36551792

Editura

Springer Nature Switzerland AG

Greutate

1310

Dimensiuni

210 x 279 x 29

Descriere completă

This textbook provides a comprehensive and didactic introduction from the basics to the current state of the art in the field of EEG/MEG source reconstruction. Reconstructing the generators or sources of electroencephalographic and magnetoencephalographic (EEG/MEG) signals is an important problem in basic neuroscience as well as clinical research and practice. Over the past few decades, an entire theory, together with a whole collection of algorithms and techniques, has developed. In this textbook, the authors provide a unified perspective on a broad range of EEG/MEG source reconstruction methods, with particular emphasis on their respective assumptions about sources, data, head tissues, and sensor properties. An introductory chapter highlights the concept of brain imaging and the particular importance of the neuroelectromagnetic inverse problem. This is followed by an in-depth discussion of neural information processing and brain signal generation and an introduction to the practice of data acquisition. Next, the relevant mathematical models for the sources of EEG and MEG are discussed in detail, followed by the neuroelectromagnetic forward problem, that is, the prediction of EEG or MEG signals from those source models, using biophysical descriptions of the head tissues and the sensors. The main part of this textbook is dedicated to the source reconstruction methods. The authors present a theoretical framework of the neuroelectromagnetic inverse problem, centered on Bayes' theorem, which then serves as the basis for a detailed description of a large variety of techniques, including dipole fit methods, distributed source reconstruction, spatial filters, and dynamic source reconstruction methods. The final two chapters address the important topic of assessment, including verification and validation of source reconstruction methods, and their actual application to real-world scientific and clinical questions.

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EEG/MEG Source Reconstruction

Textbook for Electro-and Magnetoencephalography

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