Atnaujinkite slapukų nuostatas

El. knyga: Biophysics of Brain Imaging: Modeling Observations and Microscopic Phenomena [Taylor & Francis e-book]

  • Formatas: 304 pages, 73 Line drawings, color; 1 Line drawings, black and white; 31 Halftones, color; 104 Illustrations, color; 1 Illustrations, black and white
  • Išleidimo metai: 07-Aug-2025
  • Leidėjas: CRC Press
  • ISBN-13: 9780367901509
  • Taylor & Francis e-book
  • Kaina: 207,73 €*
  • * this price gives unlimited concurrent access for unlimited time
  • Standartinė kaina: 296,75 €
  • Sutaupote 30%
  • Formatas: 304 pages, 73 Line drawings, color; 1 Line drawings, black and white; 31 Halftones, color; 104 Illustrations, color; 1 Illustrations, black and white
  • Išleidimo metai: 07-Aug-2025
  • Leidėjas: CRC Press
  • ISBN-13: 9780367901509

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.



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.

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

Appendix B

Appendix C

Appendix D

Jorge Riera obtained a B.S. in Physics at the University of Havana in 1988. During 19951998, he was Junior Associate of the International Centre for Theoretical Physics, Trieste (Italy), where he completed the required credits for a masters 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 Pitié-Salpźtrire Hospital in Paris. Dr. Rieras 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.