
Simultaneous EEG and fMRI: Recording, Analysis, and Application
Author(s): Markus Ullsperger (Author), Stefan Debener (Author)
- Publisher: OUP USA
- Publication Date: 17 Jun. 2010
- Edition: Illustrated
- Language: English
- Print length: 336 pages
- ISBN-10: 0195372735
- ISBN-13: 9780195372731
Book Description
This book is intended to aid researchers who plan to set up a simultaneous EEG-fMRI laboratory and those who are interested in integrating electrophysiological and hemodynamic data. As will be obvious from the different chapters, this is a dynamically developing field in which several approaches are being tested, validated and compared. Currently, there is no one best solution for all problems available, but many promising techniques are emerging. This book shall give a comprehensive overview of these techniques. In addition, it points to open questions and directions for future research.
Editorial Reviews
Review
“All of the authors of the 18 chapters of the book are well established authorities in their respective fields of research and the general approach throughout the book is to give the reader a well balanced overview of the current approaches to recording EEG in the MR as well as to the many promising techniques that are currently emerging. In addition, it also points to open questions and tries to give directions for future research.” — Brain Products Press Release
“Overall, the book is very well-written and logically organized. There are many helpful figures and illustrations that highlight key principles. This book is a tour de force as it nicely captures the past and present state of the field and it looks to the future with bold optimism. Every researcher should consider this book for his or her reference library and it should become required reading for students interested in the field of simultaneous EEG-fMRI.” — Neurology
About the Author
Dr. Debener is a Professor and Researcher at the Biomagnetic Center in the Department of Neurology at University Hospital in Jena, Germany. Stefan Debener did his PhD in Psychology on EEG predictors of depression. During his post-doc with Andreas Engel he became interested in neuronal oscillations and single-trial analyses. In 2004 he started a collaboration with the Swartz Center for
Computational Neurosciences (UCSD) and since then has been working on the validation and application of independent component analysis, which he has used to advance as different fields as EEG-fMRI integration, the analysis of auditory evoked potentials from cochlear implant users, and multisensory processing.
well as research in the field of multisensory processing.
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