Le présent livre illustre les aspects théoriques de plusieurs méthodologies liées à la possibilité de i) améliorer la mauvaise information spatiale de l'activité électroencéphalographique (EEG) sur le cuir chevelu et de donner une mesure de l'activité électrique sur la surface corticale. ii) estimer les influences directionnelles entre une paire donnée de canaux dans un ensemble de données multivarié. iii) modélisation des réseaux cérébraux sous forme de graphiques. Les applications possibles sont discutées dans trois conceptions expérimentales différentes concernant i) l'étude des conditions pathologiques lors d'une tâche motrice, ii) l'étude des processus de mémoire au cours d'une tâche cognitive iii) l'étude de la dynamique instantanée tout au long de l'évolution d'une tâche motrice dans des conditions physiologiques. Le principal résultat de toutes ces études indique clairement que la performance des tâches cognitives et motrices ainsi que la présence de maladies neuronales peuvent affecter la topologie du réseau cérébral. Cette preuve donne le pouvoir de refléter les « états » cérébraux ou les « traits » aux indices mathématiques dérivés de la théorie des graphes. En particulier, les changements structurels observés pourraient dépendre de manière critique des modèles de synchronisation et de désynchronisation - c'est-à-dire la liaison dynamique des assemblages neuronaux - comme suggéré également par un large éventail d'études électrophysiologiques précédentes. De plus, le fait que ces schémas se produisent à plusieurs fréquences confirme la preuve que les réseaux fonctionnels cérébraux contiennent plusieurs canaux de fréquence le long desquels les informations sont transmises. L'approche théorique des graphiques représente un moyen efficace d'évaluer les modèles de connectivité fonctionnelle obtenus à partir des signaux EEG du cuir chevelu. La possibilité de décrire les réseaux cérébraux complexes sous-servant différentes fonctions chez l'homme au moyen de «chiffres» est un outil prometteur pour la génération d'une meilleure compréhension des fonctions cérébrales. Table des matières : Introduction / Connectivité fonctionnelle cérébrale / Théorie des graphiques / EEG haute résolution / Réseaux corticaux chez les patients blessés par la moelle épinière / Réseaux corticaux pendant une tâche de mémoire réaliste / Application à des réseaux corticaux variables dans le temps / Conclusions
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 96 pp. Englisch. N° de réf. du vendeur 9783031005169
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 . N° de réf. du vendeur 608128939
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 / ConclusionsSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 96 pp. Englisch. N° de réf. du vendeur 9783031005169
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783031005169
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