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Power law scaling in synchronization of brain signals depends on cognitive load

Overview of attention for article published in Frontiers in Systems Neuroscience, May 2014
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Title
Power law scaling in synchronization of brain signals depends on cognitive load
Published in
Frontiers in Systems Neuroscience, May 2014
DOI 10.3389/fnsys.2014.00073
Pubmed ID
Authors

Jesse Tinker, Jose Luis Perez Velazquez

Abstract

As it has several features that optimize information processing, it has been proposed that criticality governs the dynamics of nervous system activity. Indications of such dynamics have been reported for a variety of in vitro and in vivo recordings, ranging from in vitro slice electrophysiology to human functional magnetic resonance imaging. However, there still remains considerable debate as to whether the brain actually operates close to criticality or in another governing state such as stochastic or oscillatory dynamics. A tool used to investigate the criticality of nervous system data is the inspection of power-law distributions. Although the findings are controversial, such power-law scaling has been found in different types of recordings. Here, we studied whether there is a power law scaling in the distribution of the phase synchronization derived from magnetoencephalographic recordings during executive function tasks performed by children with and without autism. Characterizing the brain dynamics that is different between autistic and non-autistic individuals is important in order to find differences that could either aid diagnosis or provide insights as to possible therapeutic interventions in autism. We report in this study that power law scaling in the distributions of a phase synchrony index is not very common and its frequency of occurrence is similar in the control and the autism group. In addition, power law scaling tends to diminish with increased cognitive load (difficulty or engagement in the task). There were indications of changes in the probability distribution functions for the phase synchrony that were associated with a transition from power law scaling to lack of power law (or vice versa), which suggests the presence of phenomenological bifurcations in brain dynamics associated with cognitive load. Hence, brain dynamics may fluctuate between criticality and other regimes depending upon context and behaviors.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 <1%
France 1 <1%
Canada 1 <1%
Unknown 98 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 24%
Student > Ph. D. Student 18 18%
Student > Master 14 14%
Student > Bachelor 6 6%
Professor > Associate Professor 5 5%
Other 14 14%
Unknown 20 20%
Readers by discipline Count As %
Neuroscience 24 24%
Psychology 16 16%
Engineering 9 9%
Medicine and Dentistry 8 8%
Agricultural and Biological Sciences 5 5%
Other 17 17%
Unknown 22 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 17 June 2014.
All research outputs
#13,996,860
of 24,143,470 outputs
Outputs from Frontiers in Systems Neuroscience
#737
of 1,390 outputs
Outputs of similar age
#112,589
of 232,007 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#32
of 59 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,390 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 232,007 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.