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- EditorialSpringer
- Año de publicación2010
- ISBN 10 3031005163
- ISBN 13 9783031005169
- EncuadernaciónCopertina flessibile
- IdiomaInglés
- Número de edición1
- Número de páginas96
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The Graph Theoretical Approach in Brain Functional Networks: Theory and Applications (Synthesis Lectures on Biomedical Engineering)
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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The Graph Theoretical Approach in Brain Functional Networks: Theory and Applications (Paperback or Softback)
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Springer 4/7/2010, 2010
ISBN 10: 3031005163
ISBN 13: 9783031005169
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Paperback or Softback. Condición: New. The Graph Theoretical Approach in Brain Functional Networks: Theory and Applications 0.4. Book. Nº de ref. del artículo: BBS-9783031005169
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The Graph Theoretical Approach in Brain Functional Networks : Theory and Applications
Librería: Chiron Media, Wallingford, Reino Unido
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PF. Condición: New. Nº de ref. del artículo: 6666-IUK-9783031005169
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The Graph Theoretical Approach in Brain Functional Networks: Theory and Applications (Synthesis Lectures on Biomedical Engineering)
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The Graph Theoretical Approach in Brain Functional Networks
Publicado por
Springer International Publishing Apr 2010, 2010
ISBN 10: 3031005163
ISBN 13: 9783031005169
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Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783031005169
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The Graph Theoretical Approach in Brain Functional Networks : Theory and Applications
Publicado por
Springer International Publishing, 2010
ISBN 10: 3031005163
ISBN 13: 9783031005169
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783031005169
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The Graph Theoretical Approach in Brain Functional Networks
Publicado por
Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2010
ISBN 10: 3031005163
ISBN 13: 9783031005169
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: 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 . Nº de ref. del artículo: 608128939
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