Abnormal white matter microstructure in children with sensory processing disorders.

Overview of attention for article published in NeuroImage: Clinical, June 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#2 of 555)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
4 news outlets
blogs
3 blogs
twitter
54 tweeters
facebook
26 Facebook pages
wikipedia
1 Wikipedia page
googleplus
3 Google+ users
reddit
1 Redditor

Readers on

mendeley
100 Mendeley
citeulike
9 CiteULike
Title
Abnormal white matter microstructure in children with sensory processing disorders.
Published in
NeuroImage: Clinical, June 2013
DOI 10.1016/j.nicl.2013.06.009
Pubmed ID
Authors

Julia P. Owen, Elysa J. Marco, Shivani Desai, Emily Fourie, Julia Harris, Susanna S. Hill, Anne B. Arnett, Pratik Mukherjee, Owen JP, Marco EJ, Desai S, Fourie E, Harris J, Hill SS, Arnett AB, Mukherjee P

Abstract

Sensory processing disorders (SPD) affect 5-16% of school-aged children and can cause long-term deficits in intellectual and social development. Current theories of SPD implicate primary sensory cortical areas and higher-order multisensory integration (MSI) cortical regions. We investigate the role of white matter microstructural abnormalities in SPD using diffusion tensor imaging (DTI). DTI was acquired in 16 boys, 8-11 years old, with SPD and 24 age-, gender-, handedness- and IQ-matched neurotypical controls. Behavior was characterized using a parent report sensory behavior measure, the Sensory Profile. Fractional anisotropy (FA), mean diffusivity (MD) and radial diffusivity (RD) were calculated. Tract-based spatial statistics were used to detect significant group differences in white matter integrity and to determine if microstructural parameters were significantly correlated with behavioral measures. Significant decreases in FA and increases in MD and RD were found in the SPD cohort compared to controls, primarily involving posterior white matter including the posterior corpus callosum, posterior corona radiata and posterior thalamic radiations. Strong positive correlations were observed between FA of these posterior tracts and auditory, multisensory, and inattention scores (r = 0.51-0.78; p < 0.001) with strong negative correlations between RD and multisensory and inattention scores (r = - 0.61-0.71; p < 0.001). To our knowledge, this is the first study to demonstrate reduced white matter microstructural integrity in children with SPD. We find that the disrupted white matter microstructure predominantly involves posterior cerebral tracts and correlates strongly with atypical unimodal and multisensory integration behavior. These findings suggest abnormal white matter as a biological basis for SPD and may also distinguish SPD from overlapping clinical conditions such as autism and attention deficit hyperactivity disorder.

Twitter Demographics

The data shown below were collected from the profiles of 54 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 5%
United Kingdom 3 3%
France 2 2%
Mexico 2 2%
Colombia 2 2%
Germany 1 1%
Canada 1 1%
Unknown 84 84%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 22%
Student > Ph. D. Student 18 18%
Researcher 18 18%
Student > Bachelor 15 15%
Student > Postgraduate 8 8%
Other 19 19%
Readers by discipline Count As %
Psychology 30 30%
Agricultural and Biological Sciences 22 22%
Medicine and Dentistry 20 20%
Social Sciences 17 17%
Nursing and Health Professions 3 3%
Other 8 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 116. 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 04 April 2016.
All research outputs
#42,426
of 6,411,688 outputs
Outputs from NeuroImage: Clinical
#2
of 555 outputs
Outputs of similar age
#952
of 98,483 outputs
Outputs of similar age from NeuroImage: Clinical
#1
of 9 outputs
Altmetric has tracked 6,411,688 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 555 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has done particularly well, scoring higher than 99% 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 98,483 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 99% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them