Functional Brain Mapping: Methods and Aims / edited by Vassiliy Tsytsarev, Vicky Yamamoto, Ning Zhong
Colaborador(es): Tsytsarev, Vassiliy
| Yamamoto, Vicky
| Zhong, Ning
.
Tipo de material:
E-bookSeries (Computer Science (Springer - 11645)).Editor: Singapore : Springer Nature Singapore, 2020Edición: 1st ed. 2020.Descripción: 1 recurso en línea (xiii, 152 p.), [11] p.) of plates : il. (some col.); 24 cm.ISBN: 9789811568831.Tema: Cerebro -- Investigación -- Proceso de datos -- Congresos
| Tipo de ítem | Biblioteca actual | Colección | Signatura topográfica | Estado | Fecha de vencimiento | Código de barras | Reserva de ítems | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
|
Valencia Digital Acceso Electrónico (UEV) | Ciencias de la Salud | QP376 .F86 2020 EB (Navegar estantería(Abre debajo)) | Acceso electrónico |
Includes bibliographical references and index
Principles of Functional Brain Imaging
Front Matter
Pages 1-1
General Descriptions on MRI
Hidenao Fukuyama, Tomohiro Ueno, Hector Sanchez Lopez
Pages 3-11
Neurons and Plasticity: What Do Glial Cells Have to Do with This?
Nicolangelo Iannella, Michel Condemine
Pages 13-46
Molecular Brain Imaging
Front Matter
Pages 47-47
Transcranial Dynamic Fluorescence Imaging for the Study of the Epileptic Seizures
Vyacheslav Kalchenko, Alon Harmelin, David Israeli, Babak Kateb, Igor Meglinski, Qinggong Tang et al.
Pages 49-66
Critical Elements for Connectivity Analysis of Brain Networks
Jean Faber, Priscila C. Antoneli, Noemi S. Araújo, Daniel J. L. L. Pinheiro, Esper Cavalheiro
Pages 67-107
Brain Optical Imaging
Front Matter
Pages 109-109
Intrinsic Signal Optical Imaging (ISOI): State-of-the-Art with Emphasis on Pre-clinical and Clinical Studies
Ron D. Frostig
Pages 111-127
Implantable CMOS Fluorescent Imaging Devices
Kiyotaka Sasagawa, Makito Haruta, Yasumi Ohta, Hironari Takehara, Takashi Tokuda, Jun Ohta
Pages 129-145
Neural Computation and Data Analysis
Front Matter
Pages 147-147
Data Analysis Method for Neuroimaging Data: Task-Related Component Analysis and Its Applications to fNIRS Data
Hirokazu Tanaka, Takusige Katura, Hiroki Sato
Pages 149-173
Towards Automated Processing and Analysis of Neuronal Big Data Acquired Using High-Resolution Brain-Chip Interfaces
Mufti Mahmud, Claudia Cecchetto, Marta Maschietto, Roland Thewes, Stefano Vassanelli
Pages 175-191
Conclusion and Future Work
Front Matter
Pages 191-191
Conclusion and Future Work
Vassiliy Tsytsarev
Pages 195-201
This book provides an essential overview of the broad range of functional brain imaging techniques, as well as neuroscientific methods suitable for various scientific tasks in fundamental and clinical neuroscience. It also shares information on novel methods in computational neuroscience, mathematical algorithms, image processing, and applications to neuroscience.
The mammalian brain is a huge and complex network that consists of billions of neural and glial cells. Decoding how information is represented and processed by this neural network requires the ability to monitor the dynamics of large numbers of neurons at high temporal and spatial resolution over a large part of the brain. Functional brain optical imaging has seen more than thirty years of intensive development. Current light-using methods provide good sensitivity to functional changes through intrinsic contrast and are rapidly exploiting the growing availability of exogenous fluorescence probes. In addition, various types of functional brain optical imaging are now being used to reveal the brain’s microanatomy and physiology.
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