期刊
NEUROIMAGE
卷 57, 期 3, 页码 892-907出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2011.05.025
关键词
Cortical networks; Neural networks; Neuronal networks; Brain connectivity; Connectome; Network analysis
资金
- Ministry of Education, Science and Technology [R32-10142]
- Royal Society [RG/2006/R2]
- EPSRC [EP/E002331/1]
- [EP/G03950X/1]
- Engineering and Physical Sciences Research Council [EP/G03950X/1, EP/E002331/1] Funding Source: researchfish
- EPSRC [EP/E002331/1, EP/G03950X/1] Funding Source: UKRI
- National Research Foundation of Korea [R31-2011-000-10089-0] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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 organizations 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 Erdos-Renyi 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. (c) 2011 Elsevier Inc. All rights reserved.
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