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Journal ArticleDOI

Complex network measures of brain connectivity: uses and interpretations.

Mikail Rubinov, +1 more
- 01 Sep 2010 - 
- Vol. 52, Iss: 3, pp 1059-1069
TLDR
Construction of brain networks from connectivity data is discussed and the most commonly used network measures of structural and functional connectivity are described, which variously detect functional integration and segregation, quantify centrality of individual brain regions or pathways, and test resilience of networks to insult.
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This article is published in NeuroImage.The article was published on 2010-09-01. It has received 9291 citations till now. The article focuses on the topics: Dynamic functional connectivity & Functional integration (neurobiology).

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Citations
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Journal ArticleDOI

Functional network organization of the human brain

TL;DR: In this article, the authors studied functional brain organization in healthy adults using resting state functional connectivity MRI and proposed two novel brain wide graphs, one of 264 putative functional areas, the other a modification of voxelwise networks that eliminates potentially artificial short-distance relationships.
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BrainNet Viewer: a network visualization tool for human brain connectomics.

TL;DR: This work has developed a graph-theoretical network visualization toolbox, called BrainNet Viewer, to illustrate human connectomes as ball-and-stick models, and helps researchers to visualize brain networks in an easy, flexible and quick manner.
Journal ArticleDOI

Exploring the brain network: A review on resting-state fMRI functional connectivity

TL;DR: The use of spontaneous resting-state fMRI in determining functional connectivity, how functional connections tend to be related to structural connections in the brain network and how functional brain communication may form a key role in cognitive performance are discussed.
Journal ArticleDOI

Large-scale brain networks and psychopathology: a unifying triple network model

TL;DR: A triple network model of aberrant saliency mapping and cognitive dysfunction in psychopathology is proposed, emphasizing the surprising parallels that are beginning to emerge across psychiatric and neurological disorders.
Journal ArticleDOI

The economy of brain network organization

TL;DR: It is proposed that brain organization is shaped by an economic trade-off between minimizing costs and allowing the emergence of adaptively valuable topological patterns of anatomical or functional connectivity between multiple neuronal populations.
References
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Collective dynamics of small-world networks

TL;DR: Simple models of networks that can be tuned through this middle ground: regular networks ‘rewired’ to introduce increasing amounts of disorder are explored, finding that these systems can be highly clustered, like regular lattices, yet have small characteristic path lengths, like random graphs.
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Emergence of Scaling in Random Networks

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Journal ArticleDOI

The Structure and Function of Complex Networks

Mark Newman
- 01 Jan 2003 - 
TL;DR: Developments in this field are reviewed, including such concepts as the small-world effect, degree distributions, clustering, network correlations, random graph models, models of network growth and preferential attachment, and dynamical processes taking place on networks.
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Centrality in social networks conceptual clarification

TL;DR: In this article, three distinct intuitive notions of centrality are uncovered and existing measures are refined to embody these conceptions, and the implications of these measures for the experimental study of small groups are examined.
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Community structure in social and biological networks

TL;DR: This article proposes a method for detecting communities, built around the idea of using centrality indices to find community boundaries, and tests it on computer-generated and real-world graphs whose community structure is already known and finds that the method detects this known structure with high sensitivity and reliability.
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What are the different uses of LOINC?

The provided paper is about complex network measures of brain connectivity, not LOINC. Therefore, there is no information about the uses of LOINC in the paper.