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The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Scale-Free Brain Functional Networks

Open access
Eguíluz, Victor M., Chialvo, Dante R., Cecchi, Guillermo A., Baliki, Marwan, Apkarian, A. Vania·2005·Physical Review Letters

Abstract

Functional magnetic resonance imaging is used to extract functional networks connecting correlated human brain sites. Analysis of the resulting networks in different tasks shows that (a) the distribution of functional connections, and the probability of finding a link versus distance are both scale-free, (b) the characteristic path length is small and comparable with those of equivalent random networks, and (c) the clustering coefficient is orders of magnitude larger than those of equivalent random networks. All these properties, typical of scale-free small-world networks, reflect important functional information about brain states.

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Metadata

Authors
Eguíluz, V. M., Chialvo, D. R., Cecchi, G. A., Baliki, M., & Apkarian, A. V.
Venue
Physical Review Letters
Published
2005-01-06
Volume
94
Issue
1
Pages
018102-018102
ISSN
  • 0031-9007 (ISSN-L)
  • 1079-7114
OpenAlex
W2044770804
Cited by
1,460
References
3
FWCI
27.08
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Scale-Free Brain Functional Networks. https://app.cochat.ai/papers/10.1103/physrevlett.94.018102
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Eguíluz, V. M., Chialvo, D. R., Cecchi, G. A., Baliki, M., & Apkarian, A. V. (2005). Scale-Free Brain Functional Networks. Physical Review Letters. https://doi.org/10.1103/physrevlett.94.018102

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

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