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EEG Resting State Functional Connectivity in Adult Dyslexics Using Phase Lag Index and Graph Analysis

Overview of attention for article published in Frontiers in Human Neuroscience, August 2018
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Title
EEG Resting State Functional Connectivity in Adult Dyslexics Using Phase Lag Index and Graph Analysis
Published in
Frontiers in Human Neuroscience, August 2018
DOI 10.3389/fnhum.2018.00341
Pubmed ID
Authors

Gorka Fraga González, Dirk J. A. Smit, Melle J. W. van der Molen, Jurgen Tijms, Cornelis Jan Stam, Eco J. C. de Geus, Maurits W. van der Molen

Abstract

Developmental dyslexia may involve deficits in functional connectivity across widespread brain networks that enable fluent reading. We investigated the large-scale organization of electroencephalography (EEG) functional networks at rest in 28 dyslexics and 36 typically reading adults. For each frequency band (delta, theta alpha and beta), we assessed functional connectivity strength with the phase lag index (PLI). Network topology was examined using minimum spanning tree (MST) graphs derived from the functional connectivity matrices. We found significant group differences in the alpha band (8-13 Hz). The graph analysis indicated more interconnected nodes, in dyslexics compared to typical readers. The graph metrics were significantly correlated with age in dyslexics but not in typical readers, which may indicate more heterogeneity in maturation of brain networks in dyslexics. The present findings support the involvement of alpha oscillations in higher cognition and the sensitivity of graph metrics to characterize functional networks in adult dyslexia. Finally, the current results extend our previous findings on children.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 163 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 19%
Student > Master 28 17%
Student > Bachelor 19 12%
Researcher 14 9%
Student > Postgraduate 9 6%
Other 19 12%
Unknown 43 26%
Readers by discipline Count As %
Neuroscience 42 26%
Engineering 25 15%
Psychology 15 9%
Agricultural and Biological Sciences 7 4%
Computer Science 6 4%
Other 16 10%
Unknown 52 32%
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 12 September 2018.
All research outputs
#13,388,707
of 23,102,082 outputs
Outputs from Frontiers in Human Neuroscience
#3,855
of 7,214 outputs
Outputs of similar age
#165,569
of 334,790 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#66
of 112 outputs
Altmetric has tracked 23,102,082 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 7,214 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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We're also able to compare this research output to 112 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.