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Cited by 796

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Motifs in Brain Networks

Open access
Sporns, Olaf, Kötter, Rolf·2004·PLoS Biology
DOI 10.1371/journal.pbio.0020369
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Abstract

Complex brains have evolved a highly efficient network architecture whose structural connectivity is capable of generating a large repertoire of functional states. We detect characteristic network building blocks (structural and functional motifs) in neuroanatomical data sets and identify a small set of structural motifs that occur in significantly increased numbers. Our analysis suggests the hypothesis that brain networks maximize both the number and the diversity of functional motifs, while the repertoire of structural motifs remains small. Using functional motif number as a cost function in an optimization algorithm, we obtain network topologies that resemble real brain networks across a broad spectrum of structural measures, including small-world attributes. These results are consistent with the hypothesis that highly evolved neural architectures are organized to maximize functional repertoires and to support highly efficient integration of information.

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Citations

Cites

Research works printed but not linked: 35

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Metadata

Authors
Sporns, O., & Kötter, R.
Venue
PLoS Biology
Publisher
Public Library of Science (PLoS)
Published
2004-10-26
Volume
2
Issue
11
Pages
e369
ISSN
  • 1544-9173 (ISSN-L)
  • 1545-7885
DOI
10.1371/journal.pbio.0020369
OpenAlex
W2071158443
Cited by
796
References
10
FWCI
8.16
Type
journal article
Language
en
Open access
gold
Licence
creativecommons.org/licenses/by/4.0/ (unspecified)

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.