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EEG - fMRI: Physiological Basis, Technique, and Applications Softcover Reprint of the Original 1st 2010 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 539 pages, height x width: 235x155 mm, weight: 1146 g, XXIII, 539 p., 1 Paperback / softback
  • Izdošanas datums: 23-Aug-2016
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3662501503
  • ISBN-13: 9783662501504
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  • Mīkstie vāki
  • Cena: 100,46 €*
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  • Formāts: Paperback / softback, 539 pages, height x width: 235x155 mm, weight: 1146 g, XXIII, 539 p., 1 Paperback / softback
  • Izdošanas datums: 23-Aug-2016
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3662501503
  • ISBN-13: 9783662501504
Citas grāmatas par šo tēmu:
This book details the physiological principles, the practical aspects of measurement, and the artefact reduction and analysis of the integration of fMRI and EEG. It reviews all applications and contains over 140 illustrations, most in color.

Functional magnetic resonance imaging (fMRI) and Electronecephalography (EEG) are very important and complementary modalities since fMRI offers high spatial resolution and EEG is a direct measurement of neuronal activity with high temporal resolution. Interest in the integration of both types of data is growing rapidly as it promises to provide important new insights into human brain activity as it has already done so in the field of epilepsy. The availability of good quality instrumentation capable of providing interference-free data in both modalities means that electrophysiological and haemodynamic characteristics of individual brain events can be captured for the first time. Consequently, it seems certain that the integration of fMRI and EEG will play an increasing role in neuroscience and of the clinical study of brain disorders such as epilepsy.

The proposed book will discuss in detail the physiological principles, practical aspects of measurement, artefact reduction and analysis and also applications of the integration of fMRI and EEG. All applications, which are mainly in the fields of sleep research, cognitive neuroscience and clinical use in neurology and psychiatry will be reviewed.



This book details the physiological principles, the practical aspects of measurement, and the artefact reduction and analysis of the integration of fMRI and EEG. It reviews all applications and contains over 140 illustrations, most in color.

Recenzijas

From the reviews:

The editors have gathered an excellent group of authors to contribute highly technical and up-to-date chapters on the highly specialized technique of EEG-fMRI. This book will be helpful to readers interested in the technique and in cognitive neurosciences. It will be useful for anyone interested in learning more about this technique and can easily be used by all levels of learners or practitioners. I would recommend it to interested readers. (Joseph F. Drazkowski, Doodys Review Service, March, 2010)

Background.- Principles of Multimodal Functional Imaging and Data
Integration.- EEG: Origin and Measurement.- The Basics of Functional Magnetic
Resonance Imaging.- Locally Measured Neuronal Correlates of Functional MRI
Signals.- What Can fMRI Add to the ERP Story?.- The Added Value of EEGfMRI
in Imaging Neuroscience.- Technical and Methodological Aspects of Combined
EEG-fMRI Experiments.- EEG Instrumentation and Safety.- EEG Quality: Origin
and Reduction of the EEG Cardiac-Related Artefact.- EEG Quality:The Image
Acquisition Artefact.- Image Quality Issues.- Specific Issues Related to
EEG-fMRI at B 0 > 3 T.- Experimental Design and Data Analysis Strategies.-
Applications of EEG-fMRI.- Brain Rhythms.- Sleep.- EEGfMRI in Adults with
Focal Epilepsy.- EEGfMRI in Idiopathic Generalised Epilepsy (Adults).-
EEGfMRI in Children with Epilepsy.- Combining EEG and fMRI in Pain
Research.- Simultaneous EEG and fMRI of the Human Auditory System.- Visual
System.- Cognition.- Neuronal Models for EEGfMRI Integration.- BOLD Response
and EEG Gamma Oscillations.- EEGfMRI in Animal Models.- EEGfMRI Information
Fusion: Biophysics and Data Analysis.