This book takes a multiscale overview and theoretical framework for all existing brain imaging modalities. It also presents technological development for data fusion and underlying biophysical models. The book also provides problems and exercises useful for undergraduate and graduate courses.
Biophysics of Brain Imaging is broken up into 3 parts. Part 1: Modeling Observations and Microscopic Phenomena provides the physical and physiological foundation of all brain imaging modalities. Part 2 (Edited): Measuring and Modeling Emergent Mesoscopic Phenomena examines recording techniques and biophysical models used today to represent the mesoscale of the brain, the voxel. Part 3: Hypothesis Testing and Applications discusses methods to analyze brain imaging data and their applications to evaluate signatures in a variety of diseases, e.g., epilepsy, AD, and migraine.
This book is intended for undergraduate and graduate level students in Computational Neuroscience, Medical Imaging, Electrophysiology, and Brain Data Analysis and Modeling courses.
Figure slides are available to adopting professors.
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Postgraduate and Professional Reference
Illustrationen
1 s/w Abbildung, 104 farbige Abbildungen, 31 Farbfotos bzw. farbige Rasterbilder, 1 s/w Zeichnung, 73 farbige Zeichnungen
73 Line drawings, color; 1 Line drawings, black and white; 31 Halftones, color; 104 Illustrations, color; 1 Illustrations, black and white
Maße
Höhe: 240 mm
Breite: 161 mm
Dicke: 22 mm
Gewicht
ISBN-13
978-0-367-90149-3 (9780367901493)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Jorge Riera obtained a B.S. in Physics at the University of Havana in 1988. During 1995-1998, he was "Junior Associate" of the International Centre for Theoretical Physics, Trieste (Italy), where he completed the required credits for a master's degree in Biophysics. In 1999, he received the Ph.D. degree in Physics from the University of Havana. Part of his Ph.D. thesis was completed at the Cuban Neuroscience Center (CNC) and the Pitie-Salpetri?re Hospital in Paris. Dr. Riera's postdoctoral term was first at the RIKEN Brain Science Institute (Japan) and, after, at NICHe, Tohoku University (Japan). In 2004, he was appointed Assistant Professor at the Tohoku University School of Engineering and promoted to Associate Professor of the Tohoku University School of Medicine in 2006. From 2006 to 2011, his research was funded by three Japanese agencies: Japan Society for the Promotion of Science, Telecommunications Advancement Organization of Japan, and Japan Science and Technology. In 2011, he joined Florida International University (FIU), first as Visiting Professor and later as Associate Professor in the Department of Biomedical Engineering. For the past twelve years he has directed the Neuronal Mass Dynamics (NMD) lab. At FIU, he has also been appointed by the Honor College, the Herbert Wertheim College of Medicine, and the STEM Transformation Institute. He is currently the Chair of the Biomedical Engineering Department. In 2024, he was elected fellow of the American Institute for Medical and Biological Engineering (AIMBE) for his outstanding contributions in advancing the technology of simultaneous functional magnetic resonance imaging and electroencephalography, from mouse to man.
Chapter 1. NMR-Based Techniques
Chapter 2. Large-Scale Electrophysiological Techniques
Chapter 3. Transmission-Emission Imaging Modalities
Chapter 4. Functional Near-Infrared Spectroscopy (fNIRS)
Chapter 5. The Neurons in Equilibrium
Chapter 6. Neuronal Excitability
Chapter 7. Inter-Neuronal Communication
Chapter 8. Astrocyte Physiology
Chapter 9. Astrocyte Functional Roles
Chapter 10. The Vascular Response
Appendix A. Introduction to Vector Calculus
Appendix B. The Green Identities
Appendix C. Magnetic LF - Isotropic Piecewise Homogeneous Conductor
Appendix D. Special Functions
