The Graph Theoretical Approach in Brain Functional Networks (Record no. 85615)

000 -LEADER
fixed length control field 04352nam a22005175i 4500
001 - CONTROL NUMBER
control field 978-3-031-01644-8
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730164346.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220601s2010 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031016448
-- 978-3-031-01644-8
082 04 - CLASSIFICATION NUMBER
Call Number 620
100 1# - AUTHOR NAME
Author Fallani, Fabrizio.
245 14 - TITLE STATEMENT
Title The Graph Theoretical Approach in Brain Functional Networks
Sub Title Theory and Applications /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2010.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XII, 84 p.
490 1# - SERIES STATEMENT
Series statement Synthesis Lectures on Biomedical Engineering,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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.
520 ## - SUMMARY, ETC.
Summary, etc 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.
700 1# - AUTHOR 2
Author 2 Babiloni, Fabio.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-031-01644-8
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2010.
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-- text
-- txt
-- rdacontent
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-- computer
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-- rdamedia
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-- online resource
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-- text file
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biophysics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biomedical engineering.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Technology and Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biophysics.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biomedical Engineering and Bioengineering.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1930-0336
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-- ZDB-2-SXSC

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