Effects of parcellation and threshold on brainconnectivity measures

It is shown that the statistical properties of connections between regions of the brain and their dependence on coarse-graining and thresholding in published data can be reproduced by a simple distance-based physical connectivity model. This allows studies with differing parcellation and thresholdin...

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Published inPloS one Vol. 15; no. 10; p. e0239717
Main Authors Lacy, T. C., Robinson, P. A.
Format Journal Article
LanguageEnglish
Published San Francisco Public Library of Science 01.10.2020
Public Library of Science (PLoS)
Subjects
Biology and Life Sciences
Brain
Computer and Information Sciences
Granulation
Medicine and Health Sciences
Neural networks
Neurons
Physical Sciences
Physics
Social Sciences
Australia
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Summary:It is shown that the statistical properties of connections between regions of the brain and their dependence on coarse-graining and thresholding in published data can be reproduced by a simple distance-based physical connectivity model. This allows studies with differing parcellation and thresholding to be interrelated objectively, and for the results of future studies on more finely grained or differently thresholded networks to be predicted. As examples of the implications, it is shown that the dependences of network measures on thresholding and parcellation imply that chosen brain regions can appear to form a small world network, even though the network at finer scales, or ultimately of individual neurons, may not be small world networks themselves.
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Competing Interests: The authors have declared that no competing interests exist.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0239717