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Role of structural inhomogeneities in resting-state brain dynamics

Overview of attention for article published in Cognitive Neurodynamics, February 2016
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Title
Role of structural inhomogeneities in resting-state brain dynamics
Published in
Cognitive Neurodynamics, February 2016
DOI 10.1007/s11571-016-9381-5
Pubmed ID
Authors

Vesna Vuksanović, Philipp Hövel

Abstract

Brain imaging methods allow a non-invasive assessment of both structural and functional connectivity. However, the mechanism of how functional connectivity arises in a structured network of interacting neural populations is as yet poorly understood. Here we use a modeling approach to explore the way in which functional correlations arise from underlying structural connections taking into account inhomogeneities in the interactions between the brain regions of interest. The local dynamics of a neural population is assumed to be of phase-oscillator type. The considered structural connectivity patterns describe long-range anatomical connections between interacting neural elements. We find a dependence of the simulated functional connectivity patterns on the parameters governing the dynamics. We calculate graph-theoretic measures of the functional network topology obtained from numerical simulations. The effect of structural inhomogeneities in the coupling term on the observed network state is quantified by examining the relation between simulated and empirical functional connectivity. Importantly, we show that simulated and empirical functional connectivity agree for a narrow range of coupling strengths. We conclude that identification of functional connectivity during rest requires an analysis of the network dynamics.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 27%
Student > Bachelor 2 13%
Student > Doctoral Student 1 7%
Student > Ph. D. Student 1 7%
Professor 1 7%
Other 2 13%
Unknown 4 27%
Readers by discipline Count As %
Neuroscience 4 27%
Engineering 3 20%
Physics and Astronomy 1 7%
Mathematics 1 7%
Social Sciences 1 7%
Other 1 7%
Unknown 4 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 July 2016.
All research outputs
#15,361,255
of 22,851,489 outputs
Outputs from Cognitive Neurodynamics
#127
of 319 outputs
Outputs of similar age
#177,011
of 298,866 outputs
Outputs of similar age from Cognitive Neurodynamics
#4
of 11 outputs
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So far Altmetric has tracked 319 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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