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.
Sprache
Verlagsort
Verlagsgruppe
Elsevier Science Publishing Co Inc
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Produkt-Hinweis
Broschur/Paperback
Klebebindung
Maße
Höhe: 235 mm
Breite: 191 mm
ISBN-13
978-0-12-816456-3 (9780128164563)
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Schweitzer Klassifikation
Dr. Haemaelaeinen 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.
Autor*in
Professor of Radiology, Massachusetts General Hospital and Director of Magnetoencephalography (MEG) Core, Athinoula A. Martinos Center for Biomedical Imaging, MGH, Finland
Department of Neuroscience and Biomedical Engineering School of Science, Aalto University, Espoo, Finland
Department of Neuroscience and Biomedical Engineering School of Science, Aalto University, Espoo, Finland
1. Introduction to MEG/EEG 2. Signal generation 3. Instrumentation 4. Data acquisition 5. Experimental design 6. Signal processing 7. Source estimation 8. Connectivity estimation 9. Multimodal imaging