Changing Connectomes by Marcus Kaiser - ISBN: 9780262044615
Hardcover
Brain networks transform: evolution, development, disease, and stimulation explained.

Changing Connectomes

Evolution, Development, and Dynamics in Network Neuroscience

  • Hardcover

    264 pages

  • Release Date

    17 November 2020

Summary

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 Connectome…

Book Details

ISBN-13:9780262044615
ISBN-10:0262044617
Author:Marcus Kaiser
Publisher:MIT Press Ltd
Imprint:MIT Press
Format:Hardcover
Number of Pages:264
Release Date:17 November 2020
Weight:670g
Dimensions:229mm x 178mm
What They're Saying

Critics Review

“A central focus of contemporary connectomics is on patterns of change — capturing how connectomes grow, mature, degenerate, evolve, adapt and reconfigure. This important book provides a comprehensive account of how these changes unfold, and how they relate to brain dynamics, cognition and behavior.”
– Olaf Sporns, Distinguished Professor, Indiana University; author of Networks of the Brain and Discovering the Human Connectome

“From the wiring diagram of the worm nervous system through to the gamechanging potential of big data and AI, the author clearly lays out basic principles and thoughtfully guides the reader through cuttingedge discoveries and future applications of the exploding science of brain connectomics.”
– Heidi JohansenBerg, University of Oxford; author of Diffusion MRI

About The Author

Marcus Kaiser

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.

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