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The Graph Theoretical Approach in Brain Functional Networks: Theory and Applicat

Description: The Graph Theoretical Approach in Brain Functional Networks by Fabrizio Fallani, Fabio Babiloni Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Table of Contents: Introduction / Brain Functional Connectivity / Graph Theory / High-Resolution EEG / Cortical Networks in Spinal Cord Injured Patients / Cortical Networks During a Lifelike Memory Task / Application to Time-varying Cortical Networks / Conclusions Publisher Description The present book illustrates the theoretical aspects of several methodologies related to the possibility of i) enhancing the poor spatial information of the electroencephalographic (EEG) activity on the scalp and giving a measure of the electrical activity on the cortical surface. ii) estimating the directional influences between any given pair of channels in a multivariate dataset. iii) modeling the brain networks as graphs. The possible applications are discussed in three different experimental designs regarding i) the study of pathological conditions during a motor task, ii) the study of memory processes during a cognitive task iii) the study of the instantaneous dynamics throughout the evolution of a motor task in physiological conditions. The main outcome from all those studies indicates clearly that the performance of cognitive and motor tasks as well as the presence of neural diseases can affect the brain network topology. This evidence gives the power of reflecting cerebral "states" or "traits" to the mathematical indexes derived from the graph theory. In particular, the observed structural changes could critically depend on patterns of synchronization and desynchronization - i.e. the dynamic binding of neural assemblies - as also suggested by a wide range of previous electrophysiological studies. Moreover, the fact that these patterns occur at multiple frequencies support the evidence that brain functional networks contain multiple frequency channels along which information is transmitted. The graph theoretical approach represents an effective means to evaluate the functional connectivity patterns obtained from scalp EEG signals. The possibility to describe the complex brain networks sub-serving different functions in humans by means of "numbers" is a promising tool toward the generation of a better understanding of the brain functions. Table of Contents: Introduction / Brain Functional Connectivity / Graph Theory / High-Resolution EEG / Cortical Networks in Spinal Cord Injured Patients / Cortical Networks During a Lifelike Memory Task / Application to Time-varying Cortical Networks / Conclusions Author Biography Fabrizio DeVico Fallani is a Research fellow in the Department of Human Physiology, University of Rome "Sapienza" (Subject - Development and application of brain network analyses in healthy and dis[1]eased human subjects). He is also a term-contract worker at the Neuroeletrical Imaging and Brain Computer Interface Laboratory. IRCCS "Fondazione S.Lucia" (Subject - Development and application of brain network analyses in healthy and diseased human subjects during cognitive and motor tasks). In 2005 he got his masters degree in Computer Science Engineering at the University of Rome "Sapienza" (Thesis title - Advanced Methods for the Estimation of the Cortical Connectivity from high resolution EEG recordings in a group of Spinal Cord Injured Patients). In 2009, he got his PhD degree in Biophysics at the University of Rome "Sapienza". (Thesis title - Theoretical Graph Approach to Brain Functional Networks from High-Resolution EEG). He also received the best PhD thesis prize on Biomedical signal processing and imaging awarded by the Italian National Group of Bioengineering. He has participated with both oral and poster presentations at more than 45 international conferences and has received several travel grants and visiting research grants. He is the author of more than 30 scientific articles in peer-reviewed journals and his H-index is 6. His current interests are in the field of graph theoretical approaches, cortical connectivity estimation, and Brain Computer Interface. Fabio Babiloni was born in Rome in 1961. He received his masters degree in Electronic Engineering at the University of Rome "La Sapienza" and the PhD in Computational Engineering at the Helsinki University of Technology, Helsinki in the 2000 with a dissertation on the multimodal integration of EEG and fMRI. He is currently Associate Professor of Human Physiology at the Faculty of Medicine of the University of Rome "La Sapienza", Rome, Italy. He is the author of more that 120 papers on bioengineeringand neurophysiological topics in international peer-reviewed scientific journals, and more than 250 contributions to conferences and book chapters. His total impact factor is more than 290 and his H-index is 26. His current interests are in the field of multimodal integration of EEG, MEG and fMRI data, cortical connectivity estimation and Brain Computer Interface. Prof. Babiloni is currently grant reviewer for the National Science Foundation (NSF) USA ,the Academy of Finland, Finland, the Austrian Fund of Research, Austria and the European Union through the FP6 and FP7 research programs. Prof. Babiloni is president of the International Society of Functional Source Imaging, member of the Italian Society of Physiology and the Italian Society of Clinical Neurophysiology. He is an Associate Editor of four scientific Journals "Frontiers in Neuroscience," "International Journal of Bioelectromagnetism," "IEEE Trans. On Neural System and Rehabilitation Engineering," and "Computational Intelligence and Neuroscience." Details ISBN 3031005163 ISBN-13 9783031005169 Title The Graph Theoretical Approach in Brain Functional Networks Author Fabrizio Fallani, Fabio Babiloni Format Paperback Year 2010 Pages 84 Publisher Springer International Publishing AG GE_Item_ID:158827806; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

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The Graph Theoretical Approach in Brain Functional Networks: Theory and Applicat

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Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

ISBN-13: 9783031005169

Type: NA

Publication Name: NA

Original Language: English

Book Title: Graph Theoretical Approach in Brain Functional Networks : Theory and Applications

Number of Pages: Xii, 84 Pages

Language: English

Publisher: Springer International Publishing A&G

Topic: Life Sciences / Biophysics, General, Biomedical

Publication Year: 2010

Illustrator: Yes

Genre: Technology & Engineering, Science

Item Weight: 7.1 Oz

Author: Fabio. Babiloni, Fabrizio Fallani

Item Length: 9.3 in

Item Width: 7.5 in

Book Series: Synthesis Lectures on Biomedical Engineering Ser.

Format: Trade Paperback

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