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Functional connectivity of paired default mode network subregions in primary insomnia

Overview of attention for article published in Neuropsychiatric Disease and Treatment, December 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 tweeters
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

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50 Dimensions

Readers on

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65 Mendeley
Title
Functional connectivity of paired default mode network subregions in primary insomnia
Published in
Neuropsychiatric Disease and Treatment, December 2015
DOI 10.2147/ndt.s95224
Pubmed ID
Authors

Xi-jian Dai, Xiao Nie, Yi Shao, Si-yu Liu, Hai-jun Li, Ai-lan Wan, Si Nie, De-Chang Peng

Abstract

The aim of this study is to explore the resting-state functional connectivity (FC) differences between the paired default mode network (DMN) subregions in patients with primary insomnia (PIs). Forty-two PIs and forty-two age- and sex-matched good sleepers (GSs) were recruited. All subjects underwent the resting-state functional magnetic resonance imaging scans. The seed-based region-to-region FC method was used to evaluate the abnormal connectivity within the DMN subregions between the PIs and the GSs. Pearson correlation analysis was used to investigate the relationships between the abnormal FC strength within the paired DMN subregions and the clinical features in PIs. Compared with the GSs, the PIs showed higher Pittsburgh Sleep Quality Index score, Hamilton Anxiety Rating Scale score, Hamilton Depression Rating Scale score, Self-Rating Depression Scale score, Self Rating Anxiety Scale score, Self-Rating Scale of Sleep score, and Profile of Mood States score (P<0.001). Compared with the GSs, the PIs showed significant decreased region-to-region FC between the medial prefrontal cortex and the right medial temporal lobe (t=-2.275, P=0.026), and between the left medial temporal lobe and the left inferior parietal cortices (t=-3.32, P=0.001). The abnormal FC strengths between the DMN subregions did not correlate with the clinical features. PIs showed disrupted FC within the DMN subregions.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 64 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 28%
Student > Bachelor 11 17%
Student > Doctoral Student 7 11%
Student > Master 6 9%
Researcher 6 9%
Other 9 14%
Unknown 8 12%
Readers by discipline Count As %
Neuroscience 17 26%
Psychology 14 22%
Medicine and Dentistry 7 11%
Biochemistry, Genetics and Molecular Biology 4 6%
Sports and Recreations 3 5%
Other 5 8%
Unknown 15 23%

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 18 December 2015.
All research outputs
#7,686,006
of 14,535,828 outputs
Outputs from Neuropsychiatric Disease and Treatment
#924
of 2,442 outputs
Outputs of similar age
#135,418
of 364,060 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#39
of 66 outputs
Altmetric has tracked 14,535,828 research outputs across all sources so far. This one is in the 46th percentile – i.e., 46% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,442 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has gotten more attention than average, scoring higher than 59% 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 364,060 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 61% of its contemporaries.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.