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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
  • Among the highest-scoring outputs from this source (#11 of 2,803)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
11 news outlets
blogs
4 blogs
twitter
40 X users
facebook
26 Facebook pages
wikipedia
6 Wikipedia pages
googleplus
3 Google+ users
reddit
1 Redditor

Citations

dimensions_citation
139 Dimensions

Readers on

mendeley
375 Mendeley
citeulike
9 CiteULike
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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

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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 40 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 375 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 1%
France 2 <1%
Colombia 2 <1%
Germany 1 <1%
United Kingdom 1 <1%
Australia 1 <1%
Mexico 1 <1%
Canada 1 <1%
Unknown 361 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 70 19%
Student > Ph. D. Student 55 15%
Student > Bachelor 51 14%
Researcher 41 11%
Student > Postgraduate 25 7%
Other 73 19%
Unknown 60 16%
Readers by discipline Count As %
Psychology 72 19%
Medicine and Dentistry 57 15%
Neuroscience 40 11%
Nursing and Health Professions 38 10%
Social Sciences 31 8%
Other 61 16%
Unknown 76 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 160. 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 08 March 2024.
All research outputs
#256,076
of 25,394,764 outputs
Outputs from NeuroImage: Clinical
#11
of 2,803 outputs
Outputs of similar age
#1,680
of 209,427 outputs
Outputs of similar age from NeuroImage: Clinical
#1
of 23 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,803 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. 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 209,427 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 23 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.