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Resting-State Time-Varying Analysis Reveals Aberrant Variations of Functional Connectivity in Autism

Overview of attention for article published in Frontiers in Human Neuroscience, September 2016
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Title
Resting-State Time-Varying Analysis Reveals Aberrant Variations of Functional Connectivity in Autism
Published in
Frontiers in Human Neuroscience, September 2016
DOI 10.3389/fnhum.2016.00463
Pubmed ID
Authors

Zhijun Yao, Bin Hu, Yuanwei Xie, Fang Zheng, Guangyao Liu, Xuejiao Chen, Weihao Zheng

Abstract

Recently, studies based on time-varying functional connectivity have unveiled brain states diversity in some neuropsychiatric disorders, such as schizophrenia and major depressive disorder. However, time-varying functional connectivity analysis of resting-state functional Magnetic Resonance Imaging (fMRI) have been rarely performed on the Autism Spectrum Disorder (ASD). Hence, we performed time-varying connectivity analysis on resting-state fMRI data to investigate brain states mutation in ASD children. ASD showed an imbalance of connectivity state and aberrant ratio of connectivity with different strengths in the whole brain network, and decreased connectivity associated precuneus/posterior cingulate gyrus with medial prefrontal gyrus in default mode network. As compared to typical development children, weak relevance condition (the strength of a large number of connectivities in the state was less than means minus standard deviation of all connection strength) was maintained for a longer time between brain areas of ASD children, and ratios of weak connectivity in brain states varied dramatically in the ASD. In the ASD, the abnormal brain state might be related to repetitive behaviors and stereotypical interests, and macroscopically reflect disruption of gamma-aminobutyric acid at the cellular level. The detection of brain states based on time-varying functional connectivity analysis of resting-state fMRI might be conducive for diagnosis and early intervention of ASD before obvious clinical symptoms.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Italy 1 <1%
Unknown 135 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 20%
Student > Master 25 18%
Researcher 20 14%
Student > Bachelor 9 7%
Student > Doctoral Student 6 4%
Other 20 14%
Unknown 31 22%
Readers by discipline Count As %
Psychology 35 25%
Neuroscience 24 17%
Medicine and Dentistry 8 6%
Computer Science 7 5%
Engineering 7 5%
Other 17 12%
Unknown 40 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 17 September 2016.
All research outputs
#15,381,871
of 22,884,315 outputs
Outputs from Frontiers in Human Neuroscience
#5,275
of 7,172 outputs
Outputs of similar age
#186,952
of 294,925 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#108
of 151 outputs
Altmetric has tracked 22,884,315 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,172 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 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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We're also able to compare this research output to 151 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.