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E-grāmata: Changing Connectomes: Evolution, Development, and Dynamics in Network Neuroscience

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  • Formāts: 270 pages
  • Sērija : The MIT Press
  • Izdošanas datums: 08-Sep-2020
  • Izdevniecība: MIT Press
  • Valoda: eng
  • ISBN-13: 9780262360821
  • Formāts - PDF+DRM
  • Cena: 90,17 €*
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  • Formāts: 270 pages
  • Sērija : The MIT Press
  • Izdošanas datums: 08-Sep-2020
  • Izdevniecība: MIT Press
  • Valoda: eng
  • ISBN-13: 9780262360821

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"An overview of how networks develop in the brain; from their emergence during early development to normal aging and in the presence of neurodevelopmental and neurodegenerative disorders"--

An up-to-date overview of the field of connectomics, introducing concepts and mechanisms underlying brain network change at different stages.

The human brain undergoes massive changes during its development, from early childhood and the teenage years to adulthood and old age. Across a wide range of species, from C. elegans and fruit flies to mice, monkeys, and humans, information about brain connectivity (connectomes) at different stages is now becoming available. New approaches in network neuroscience can be used to analyze the topological, spatial, and dynamical organization of such connectomes. In Changing Connectomes, Marcus Kaiser provides an up-to-date overview of the field of connectomics and introduces concepts and mechanisms underlying brain network changes during evolution and development. 

Drawing on a range of results from experimental, clinical, and computational studies, Kaiser describes changes during healthy brain maturation and during brain network disorders (including such neurodevelopmental conditions as schizophrenia and depression), brain injury, and neurodegenerative disorders including dementia. He argues that brain stimulation is an area where understanding connectome development could help in assessing long-term effects of interventions. Changing Connectomes is a suitable starting point for researchers who are new to the field of connectomics, and also for researchers who are interested in the link between brain network organization and brain and cognitive development in health and disease. Matlab/Octave code examples available at the MIT Press website will allow computational neuroscience researchers to understand and extend the shown mechanisms of connectome development.

Preface ix
1 Introduction
1(4)
Part I Connectome Structure
5(60)
2 Features of Complex Networks
7(30)
3 Evolution of Neural Systems
37(6)
4 Organization of Neural Systems
43(22)
Part II Connectome Maturation
65(76)
5 Brain Development
67(12)
6 Layer Formation
79(10)
7 Axonal Growth
89(18)
8 Formation of Hubs
107(12)
9 Module Formation
119(12)
10 Cortical Folding
131(10)
Part III Connectome Changes
141(58)
11 Development and Aging
143(10)
12 Neurodevelopmental Disorders
153(12)
13 Neurodegenerative Disorders
165(12)
14 Recovery from Injury
177(10)
15 Brain Stimulation Effects
187(12)
Glossary 199(6)
References 205(40)
Index 245