Changing Connectomes: Evolution, Development, and Dynamics in Network Neuroscience

Kaiser, Marcus

ISBN 10: 0262044617 / ISBN 13: 9780262044615

Published by The MIT Press, 2020

About this Item

Very Good Condition - May show some limited signs of wear and may have a remainder mark. Pages and dust cover are intact and not marred by notes or highlighting.

Seller Inventory # mon0000005957

Bibliographic Details

• Title: Changing Connectomes: Evolution, Development, and Dynamics in Network Neuroscience
• Publisher: The MIT Press
• Publication Date: 2020
• Language: English
• ISBN 10: 0262044617
• ISBN 13: 9780262044615
• Binding: hardcover
• Condition: Very Good

About this title

Synopsis

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.

About the Author

Marcus Kaiser is Professor of Neuroinformatics in the School of Computing at Newcastle University and Visiting Professor at Shanghai Jiao Tong University. He is a Fellow of the Royal Society of Biology and is Chair of Neuroinformatics UK.