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Cited by 464

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Small‐world properties of nonlinear brain activity in schizophrenia

Open access
Rubinov, Mikail, Knock, Stuart A., Stam, Cornelis J., Micheloyannis, Sifis, Harris, Anthony W.F., Williams, Leanne M., Breakspear, Michael·2009·Human Brain Mapping
DOI 10.1002/hbm.20517
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Abstract

A disturbance in the interactions between distributed cortical regions may underlie the cognitive and perceptual dysfunction associated with schizophrenia. In this article, nonlinear measures of cortical interactions and graph‐theoretical metrics of network topography are combined to investigate this schizophrenia “disconnection hypothesis.” This is achieved by analyzing the spatiotemporal structure of resting state scalp EEG data previously acquired from 40 young subjects with a recent first episode of schizophrenia and 40 healthy matched controls. In each subject, a method of mapping the topography of nonlinear interactions between cortical regions was applied to a widely distributed array of these data. The resulting nonlinear correlation matrices were converted to weighted graphs. The path length (a measure of large‐scale network integration), clustering coefficient (a measure of “cliquishness”), and hub structure of these graphs were used as metrics of the underlying brain network activity. The graphs of both groups exhibited high levels of local clustering combined with comparatively short path lengths—features consistent with a “small‐world” topology—as well as the presence of strong, central hubs. The graphs in the schizophrenia group displayed lower clustering and shorter path lengths in comparison to the healthy group. Whilst still “small‐world,” these effects are consistent with a subtle randomization in the underlying network architecture—likely associated with a greater number of links connecting disparate clusters. This randomization may underlie the cognitive disturbances characteristic of schizophrenia. Hum Brain Mapp, 2009. © 2007 Wiley‐Liss, Inc.

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Cited by

Metadata

Authors
Rubinov, M., Knock, S. A., Stam, C. J., Micheloyannis, S., Harris, A. W. F., Williams, L. M., & Breakspear, M.
Venue
Human Brain Mapping
Publisher
Wiley
Published
2009-01-19
Volume
30
Issue
2
Pages
403-416
ISSN
  • 1065-9471 (ISSN-L)
  • 1097-0193
DOI
10.1002/hbm.20517
OpenAlex
W1996379253
Cited by
464
References
7
FWCI
7.73
Type
journal article
Language
en
Open access
bronze
Licence
onlinelibrary.wiley.com/termsAndConditions#vor (vor)

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.