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Preliteracy signatures of poor-reading abilities in resting-state EEG

Overview of attention for article published in Frontiers in Human Neuroscience, September 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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Title
Preliteracy signatures of poor-reading abilities in resting-state EEG
Published in
Frontiers in Human Neuroscience, September 2014
DOI 10.3389/fnhum.2014.00735
Pubmed ID
Authors

Giuseppina Schiavone, Klaus Linkenkaer-Hansen, Natasha M. Maurits, Anna Plakas, Ben A. M. Maassen, Huibert D. Mansvelder, Aryan van der Leij, Titia L. van Zuijen

Abstract

The hereditary character of dyslexia suggests the presence of putative underlying neural anomalies already in preliterate age. Here, we investigated whether early neurophysiological correlates of future reading difficulties-a hallmark of dyslexia-could be identified in the resting-state EEG of preliterate children. The children in this study were recruited at birth and classified on the basis of parents' performance on reading tests to be at-risk of becoming poor readers (n = 48) or not (n = 14). Eyes-open rest EEG was measured at the age of 3 years, and the at-risk children were divided into fluent readers (n = 24) and non-fluent readers (n = 24) after reading assessment at their third grade of school. We found that fluent readers and non-fluent readers differed in normalized spectral amplitude. Non-fluent readers were characterized by lower amplitude in the delta-1 frequency band (0.5-2 Hz) and higher amplitude in the alpha-1 band (6-8 Hz) in multiple scalp regions compared to control and at-risk fluent readers. Interestingly, across groups these EEG biomarkers correlated with several behavioral test scores measured in the third grade. Specifically, the performance on reading fluency, phonological and orthographic tasks and rapid automatized naming task correlated positively with delta-1 and negatively with alpha-1. Together, our results suggest that combining family-risk status, neurophysiological testing and behavioral test scores in a longitudinal setting may help uncover physiological mechanisms implicated with neurodevelopmental disorders such as the predisposition to reading disabilities.

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X Demographics

The data shown below were collected from the profiles of 7 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 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
United States 1 <1%
Serbia 1 <1%
Unknown 108 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 22%
Researcher 18 16%
Student > Master 13 12%
Student > Bachelor 11 10%
Professor 7 6%
Other 20 18%
Unknown 18 16%
Readers by discipline Count As %
Psychology 31 28%
Neuroscience 25 22%
Engineering 7 6%
Agricultural and Biological Sciences 7 6%
Linguistics 4 4%
Other 16 14%
Unknown 22 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 16 March 2016.
All research outputs
#2,264,599
of 25,182,110 outputs
Outputs from Frontiers in Human Neuroscience
#1,059
of 7,638 outputs
Outputs of similar age
#24,091
of 256,956 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#48
of 259 outputs
Altmetric has tracked 25,182,110 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,638 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has done well, scoring higher than 86% of its peers.
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 256,956 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 259 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.