Toggle Main Menu Toggle Search

ePrints

A tutorial in connectome analysis: Topological and spatial features of brain networks

Lookup NU author(s): Professor Marcus Kaiser

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


Abstract

High-throughput methods for yielding the set of connections in a neural system, the connectome, are now being developed. This tutorial describes ways to analyze the topological and spatial organization of the connectome at the macroscopic level of connectivity between brain regions as well as the microscopic level of connectivity between neurons. We will describe topological features at three different levels: the local scale of individual nodes, the regional scale of sets of nodes, and the global scale of the complete set of nodes in a network. Such features can be used to characterize components of a network and to compare different networks, e.g. the connectome of patients and control subjects for clinical studies. At the global scale, different types of networks can be distinguished and we will describe Erdös-Rényi random, scale-free, small-world, modular, and hierarchical archetypes of networks. Finally, the connectome also has a spatial organization and we describe methods for analyzing wiring lengths of neural systems. As an introduction for new researchers in the field of connectome analysis, we discuss the benefits and limitations of each analysis approach.


Publication metadata

Author(s): Kaiser M

Publication type: Article

Publication status: Published

Journal: NeuroImage

Year: 2011

Volume: 57

Issue: 3

Pages: 892-907

Print publication date: 14/05/2011

ISSN (print): 1053-8119

ISSN (electronic): 1095-9572

Publisher: Academic Press

URL: http://dx.doi.org/10.1016/j.neuroimage.2011.05.025

DOI: 10.1016/j.neuroimage.2011.05.025


Altmetrics

Altmetrics provided by Altmetric


Actions

    Link to this publication


Share