Description 
1 online resource (x, 78 pages) : illustrations (some color) 
Series 
Synthesis lectures on biomedical engineering, 19300336 ; #36 

Synthesis lectures on biomedical engineering ; #36.

Contents 
1. Introduction 
Summary 
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 subserving different functions in humans by means of "numbers" is a promising tool toward the generation of a better understanding of the brain functions 
Bibliography 
Includes bibliographical references (pages 6976) 
Subject 
Brain  Mathematical models.


Cerebral cortex  Mathematical models


Brain  Localization of functions  Mathematics


Neural networks (Neurobiology)


Graph theory.


Electroencephalography  Mathematics


Brain  physiology


Electroencephalography  methods


MEDICAL  Neuroscience.


PSYCHOLOGY  Neuropsychology.


Brain  Mathematical models


Electroencephalography  Mathematics


Graph theory


Neural networks (Neurobiology)

Form 
Electronic book

Author 
Babiloni, Fabio.

ISBN 
9781608454501 

1608454509 

9783031016448 

3031016440 
