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Cover: 9780124079083 | Fundamentals of Brain Network Analysis | Alex Fornito (u. a.) | Buch
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Fundamentals of Brain Network Analysis
Buch von Alex (Brain and Mental Health Laboratory Fornito (u. a.)
Sprache: Englisch

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Beschreibung
Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to methods for unraveling the extraordinary complexity of neuronal connectivity. From the perspective of graph theory and network science, this book introduces, motivates and explains techniques for modeling brain networks as graphs of nodes connected by edges, and covers a diverse array of measures for quantifying their topological and spatial organization. It builds intuition for key concepts and methods by illustrating how they can be practically applied in diverse areas of neuroscience, ranging from the analysis of synaptic networks in the nematode worm to the characterization of large-scale human brain networks constructed with magnetic resonance imaging. This text is ideally suited to neuroscientists wanting to develop expertise in the rapidly developing field of neural connectomics, and to physical and computational scientists wanting to understand how these quantitative methods can be used to understand brain organization.
Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to methods for unraveling the extraordinary complexity of neuronal connectivity. From the perspective of graph theory and network science, this book introduces, motivates and explains techniques for modeling brain networks as graphs of nodes connected by edges, and covers a diverse array of measures for quantifying their topological and spatial organization. It builds intuition for key concepts and methods by illustrating how they can be practically applied in diverse areas of neuroscience, ranging from the analysis of synaptic networks in the nematode worm to the characterization of large-scale human brain networks constructed with magnetic resonance imaging. This text is ideally suited to neuroscientists wanting to develop expertise in the rapidly developing field of neural connectomics, and to physical and computational scientists wanting to understand how these quantitative methods can be used to understand brain organization.
Über den Autor
Alex Fornito completed a PhD in the Departments of Psychology and Psychiatry at the University of Melbourne, Australia, followed by Post-Doctoral training at the University of Cambridge, UK. He is an associate professor, Australian Research Council Future Fellow, and Deputy Director of the Brain and Mental Health Laboratory in the Monash Institute of Cognitive and Clinical Neurosciences, Australia. Alex's research uses cognitive neuroscience, network science, and graph theory to understand brain network organization in health and disease. He has published over 100 scientific articles, much of which are focused on the development and application of new methods to understand how brain networks dynamically adapt to changing task demands, how they are disrupted by disease, and how they are shaped by genetic influences.
Inhaltsverzeichnis

1. An introduction to brain networks2. Nodes and edges3. Connectivity matrices and brain graphs4. Connectivity degree and strength5. Centrality and hubs6. Components, cores and clubs7. Paths, efficiency and diffusion8. Motifs, small worlds and network economy9. Modularity10. Null models 11. Statistical connectomics

Details
Erscheinungsjahr: 2016
Fachbereich: Andere Fachgebiete
Genre: Importe, Medizin
Rubrik: Wissenschaften
Medium: Buch
Inhalt: Gebunden
ISBN-13: 9780124079083
ISBN-10: 0124079083
Sprache: Englisch
Einband: Gebunden
Autor: Fornito, Alex (Brain and Mental Health Laboratory
Zalesky, Andrew (Melbourne Neuropsychiatry Centre and the Melbourne School of Engineering
Bullmore, Edward (Brain Mapping Unit
Redaktion: Fornito, Alex
Zalesky, Andrew
Bullmore, Edward
Hersteller: Elsevier Science Publishing Co Inc
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 244 x 197 x 32 mm
Von/Mit: Alex (Brain and Mental Health Laboratory Fornito (u. a.)
Erscheinungsdatum: 06.05.2016
Gewicht: 1,197 kg
Artikel-ID: 105276974
Über den Autor
Alex Fornito completed a PhD in the Departments of Psychology and Psychiatry at the University of Melbourne, Australia, followed by Post-Doctoral training at the University of Cambridge, UK. He is an associate professor, Australian Research Council Future Fellow, and Deputy Director of the Brain and Mental Health Laboratory in the Monash Institute of Cognitive and Clinical Neurosciences, Australia. Alex's research uses cognitive neuroscience, network science, and graph theory to understand brain network organization in health and disease. He has published over 100 scientific articles, much of which are focused on the development and application of new methods to understand how brain networks dynamically adapt to changing task demands, how they are disrupted by disease, and how they are shaped by genetic influences.
Inhaltsverzeichnis

1. An introduction to brain networks2. Nodes and edges3. Connectivity matrices and brain graphs4. Connectivity degree and strength5. Centrality and hubs6. Components, cores and clubs7. Paths, efficiency and diffusion8. Motifs, small worlds and network economy9. Modularity10. Null models 11. Statistical connectomics

Details
Erscheinungsjahr: 2016
Fachbereich: Andere Fachgebiete
Genre: Importe, Medizin
Rubrik: Wissenschaften
Medium: Buch
Inhalt: Gebunden
ISBN-13: 9780124079083
ISBN-10: 0124079083
Sprache: Englisch
Einband: Gebunden
Autor: Fornito, Alex (Brain and Mental Health Laboratory
Zalesky, Andrew (Melbourne Neuropsychiatry Centre and the Melbourne School of Engineering
Bullmore, Edward (Brain Mapping Unit
Redaktion: Fornito, Alex
Zalesky, Andrew
Bullmore, Edward
Hersteller: Elsevier Science Publishing Co Inc
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 244 x 197 x 32 mm
Von/Mit: Alex (Brain and Mental Health Laboratory Fornito (u. a.)
Erscheinungsdatum: 06.05.2016
Gewicht: 1,197 kg
Artikel-ID: 105276974
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