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Modeling the impact of lesions in the brain

Lookup NU author(s): Sol Lim, Dr Frances Hutchings, Professor Marcus Kaiser

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Abstract

© 2017 Elsevier Inc. All rights reserved. Brain networks show dynamic activity and plasticity according to intrinsic and extrinsic stimuli constantly adapting and interacting with their surroundings. Neural systems maintain robust functionality during development and aging, and they can be remarkably robust to physical damages, while being equally vulnerable depending on the nature of damages in the network. The vulnerability of the brain network can be systematically investigated by using lesion modeling. By removing nodes and edges in the network, we can reveal important topological, spatial, and dynamical characteristics of biological networks. Here, we review topological and dynamical models for lesion modeling. First, we discuss important features of the network crucial to make biological systems resilient to adversarial changes by investigating lesion effects. Next, we introduce topological and dynamical models for lesion studies and relate the model predictions to neurological disorders. Finally, we provide clinical applications of lesion modeling and also future directions for both experimental and computational approaches to achieve personalized treatment of brain diseases, for example, in epilepsy surgery prediction or the assessment of stroke lesions.


Publication metadata

Author(s): Lim S, Hutchings F, Kaiser M

Publication type: Book Chapter

Publication status: Published

Book Title: The Rewiring Brain: A Computational Approach to Structural Plasticity in the Adult Brain

Year: 2017

Pages: 465-484

Online publication date: 30/06/2017

Acceptance date: 02/04/2016

Publisher: Academic Press

URL: https://doi.org/10.1016/B978-0-12-803784-3.00022-6

DOI: 10.1016/B978-0-12-803784-3.00022-6

Library holdings: Search Newcastle University Library for this item

ISBN: 9780128038727


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