Changing Connectomes: Evolution, Development, and Dynamics in Network Neuroscience
Language: English
Published by The MIT Press, 2020
- Hardcover
- Used

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[ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Edition: Reprint ] Publisher: The MIT Press Pub Date: 9/8/2020 Binding: hardcover Pages: 264 Reprint edition.
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- Title
- Changing Connectomes: Evolution, Development, and Dynamics in Network Neuroscience
- Author
- Marcus Kaiser
- Publisher
- The MIT Press
- Publication year
- 2020
- Condition
- Good
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0262044617
- ISBN 13
- 9780262044615
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.
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