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Cited by 274

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Resting Network Plasticity Following Brain Injury

Open access
Nakamura, Toru, Hillary, Frank G., Biswal, Bharat B.·2009·PLoS ONE

Abstract

The purpose of this study was to examine neural network properties at separate time-points during recovery from traumatic brain injury (TBI) using graph theory. Whole-brain analyses of the topological properties of the fMRI signal were conducted in 6 participants at 3 months and 6 months following severe TBI. Results revealed alterations of network properties including a change in the degree distribution, reduced overall strength in connectivity, and increased "small-worldness" from 3 months to 6 months post injury. The findings here indicate that, during recovery from injury, the strength but not the number of network connections diminishes, so that over the course of recovery, the network begins to approximate what is observed in healthy adults. These are the first data examining functional connectivity in a disrupted neural system during recovery.

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Crossref · 10.1371/journal.pone.0008220

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Metadata

Authors
Nakamura, T., Hillary, F. G., & Biswal, B. B.
Venue
PLoS ONE
Published
2009-12-14
Volume
4
Issue
12
Pages
e8220
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2012909638
Cited by
274
References
11
FWCI
8.22
Type
journal article
Language
en
Open access
gold

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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.