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Reduced Gray Matter Volume in the Social Brain Network in Adults with Autism Spectrum Disorder

Overview of attention for article published in Frontiers in Human Neuroscience, August 2017
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  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
Reduced Gray Matter Volume in the Social Brain Network in Adults with Autism Spectrum Disorder
Published in
Frontiers in Human Neuroscience, August 2017
DOI 10.3389/fnhum.2017.00395
Pubmed ID
Authors

Wataru Sato, Takanori Kochiyama, Shota Uono, Sayaka Yoshimura, Yasutaka Kubota, Reiko Sawada, Morimitsu Sakihama, Motomi Toichi

Abstract

Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by behavioral impairment in social interactions. Although theoretical and empirical evidence suggests that impairment in the social brain network could be the neural underpinnings of ASD, previous structural magnetic resonance imaging (MRI) studies in adults with ASD have not provided clear support for this, possibly due to confounding factors, such as language impairments. To further explore this issue, we acquired structural MRI data and analyzed gray matter volume in adults with ASD (n = 36) who had no language impairments (diagnosed with Asperger's disorder or pervasive developmental disorder not otherwise specified, with symptoms milder than those of Asperger's disorder), had no comorbidity, and were not taking medications, and in age- and sex-matched typically developing (TD) controls (n = 36). Univariate voxel-based morphometry analyses revealed that regional gray matter volume was lower in the ASD than in the control group in several brain regions, including the right inferior occipital gyrus, left fusiform gyrus, right middle temporal gyrus, bilateral amygdala, right inferior frontal gyrus, right orbitofrontal cortex, and left dorsomedial prefrontal cortex. A multivariate approach using a partial least squares (PLS) method showed that these regions constituted a network that could be used to discriminate between the ASD and TD groups. A PLS discriminant analysis using information from these regions showed high accuracy, sensitivity, specificity, and precision (>80%) in discriminating between the groups. These results suggest that reduced gray matter volume in the social brain network represents the neural underpinnings of behavioral social malfunctioning in adults with ASD.

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Mendeley readers

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 %
Unknown 100 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 16%
Student > Master 16 16%
Student > Ph. D. Student 9 9%
Student > Bachelor 8 8%
Professor > Associate Professor 5 5%
Other 13 13%
Unknown 33 33%
Readers by discipline Count As %
Neuroscience 19 19%
Psychology 14 14%
Agricultural and Biological Sciences 6 6%
Medicine and Dentistry 5 5%
Biochemistry, Genetics and Molecular Biology 3 3%
Other 11 11%
Unknown 42 42%
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 29 April 2022.
All research outputs
#8,508,506
of 25,375,376 outputs
Outputs from Frontiers in Human Neuroscience
#3,487
of 7,669 outputs
Outputs of similar age
#124,596
of 323,611 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#83
of 143 outputs
Altmetric has tracked 25,375,376 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,669 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 gotten more attention than average, scoring higher than 53% 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 323,611 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 52% of its contemporaries.
We're also able to compare this research output to 143 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.