Fundamentals of Meg and Eeg - Hamalainen, Matti; Ilmoniemi, Risto; Parkkonen, Lauri
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Fundamentals of MEG and EEG: Biophysics, Instrumentation, and Data Analysis gives graduate students and researchers a technical understanding of the fundamentals of MEG and EEG that will enable them to gain expertise in the state-of-the-art, understand the generation, measurement and modeling of electromagnetic brain signals, understand the relationship of MEG/EEG with other brain imaging methods, design MEG/EEG measurement systems and evaluate their performance, and develop and evaluate data analysis methods.

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Produktbeschreibung
Fundamentals of MEG and EEG: Biophysics, Instrumentation, and Data Analysis gives graduate students and researchers a technical understanding of the fundamentals of MEG and EEG that will enable them to gain expertise in the state-of-the-art, understand the generation, measurement and modeling of electromagnetic brain signals, understand the relationship of MEG/EEG with other brain imaging methods, design MEG/EEG measurement systems and evaluate their performance, and develop and evaluate data analysis methods.
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Autorenporträt
Dr. Hämäläinen is Professor of Radiology at Massachusetts General hospital and Director of Magnetoencephalography (MEG) Core at Athinoula A. Martinos Center for Biomedical Imaging at MGH. He is one of the pioneers in the application of MEG in conjunction with other non-invasive functional and anatomical imaging methods to study human brain function. He has had a crucial role in developing whole-head MEG instrumentation, analytical methods and tools, as well as experimental protocols, which have together paved the way for MEG becoming an important basic research and clinical tool worldwide. In 1993 he was the co-author of a seminal review article on MEG in Reviews of Modern Physics, now with more than 4000 citations. His current research interests include further development of anatomically-constrained MEG/EEG source estimation methods, including sparse and temporally continuous approaches, combination of non-invasive and invasive electromagnetic source imaging with hemodynamic measures, MEG/EEG studies of early brain development in infants, and adapting and extending MEG/EEG analysis methods to be applicable in real time in clinical neurophysiology studies.