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Cited by 932

The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.

Structure and function of complex brain networks

Open access
Sporns, Olaf·2013·Dialogues in Clinical Neuroscience

Abstract

An increasing number of theoretical and empirical studies approach the function of the human brain from a network perspective. The analysis of brain networks is made feasible by the development of new imaging acquisition methods as well as new tools from graph theory and dynamical systems. This review surveys some of these methodological advances and summarizes recent findings on the architecture of structural and functional brain networks. Studies of the structural connectome reveal several modules or network communities that are interlinked by hub regions mediating communication processes between modules. Recent network analyses have shown that network hubs form a densely linked collective called a "rich club," centrally positioned for attracting and dispersing signal traffic. In parallel, recordings of resting and task-evoked neural activity have revealed distinct resting-state networks that contribute to functions in distinct cognitive domains. Network methods are increasingly applied in a clinical context, and their promise for elucidating neural substrates of brain and mental disorders is discussed.

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Metadata

Authors
Sporns, O.
Venue
Dialogues in Clinical Neuroscience
Published
2013-09-30
Volume
15
Issue
3
Pages
247-262
ISSN
  • 1294-8322 (ISSN-L)
  • 1958-5969
OpenAlex
W4295605475
Cited by
932
References
57
FWCI
22.22
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Structure and function of complex brain networks. https://app.cochat.ai/papers/10.31887/dcns.2013.15.3/osporns
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Sporns, O. (2013). Structure and function of complex brain networks. Dialogues in Clinical Neuroscience. https://doi.org/10.31887/dcns.2013.15.3/osporns

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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.