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Lookup NU author(s): Professor Marcus Kaiser
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2017 The Author. At the centenary of D'Arcy Thompson's seminal work 'On Growth and Form', pioneering the description of principles of morphological changes during development and evolution, recent experimental advances allow us to study change in anatomical brain networks. Here, we outline potential principles for connectome development. We will describe recent results on how spatial and temporal factors shape connectome development in health and disease. Understanding the developmental origins of brain diseases in individuals will be crucial for deciding on personalized treatment options. We argue that longitudinal studies, experimentally derived parameters for connection formation, and biologically realistic computational models are needed to better understand the link between brain network development, network structure, and network function. Recent results on the development of structural connectomes allow us to evaluate how different factors shape the topological and spatial organization observed at the adult stage.Temporal factors, in terms of the birth time of neurons and their formation of connections, as well as spatial factors, in terms of the distance between neurons, influence the extent of bidirectional or long-distance connections, network modules, and network hubs.Observing connectome development at different stages and through computational models at the neuronal and fiber tract level can uncover the origins of healthy and pathological brain network development.
Author(s): Kaiser M
Publication type: Article
Publication status: Published
Journal: Trends in Cognitive Sciences
Year: 2017
Volume: 21
Issue: 9
Pages: 703-717
Print publication date: 01/09/2017
Online publication date: 10/06/2017
Acceptance date: 02/04/2016
Date deposited: 28/06/2017
ISSN (print): 1364-6613
ISSN (electronic): 1879-307X
Publisher: Elsevier Ltd
URL: https://doi.org/10.1016/j.tics.2017.05.010
DOI: 10.1016/j.tics.2017.05.010
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