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Multiple Neural Networks Malfunction in Primary Blepharospasm: An Independent Components Analysis

Overview of attention for article published in Frontiers in Human Neuroscience, May 2017
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Title
Multiple Neural Networks Malfunction in Primary Blepharospasm: An Independent Components Analysis
Published in
Frontiers in Human Neuroscience, May 2017
DOI 10.3389/fnhum.2017.00235
Pubmed ID
Authors

Xiao-Feng Huang, Meng-Ru Zhu, Ping Shan, Chen-Hui Pei, Zhan-Hua Liang, Hui-Ling Zhou, Ming-Fei Ni, Yan-Wei Miao, Guo-Qing Xu, Bing-Wei Zhang, Ya-Yin Luo

Abstract

Primary blepharospasm (BPS) is a focal dystonia characterized by involuntary blinking and eyelid spasms. The pathophysiology of BPS remains unclear. Several neuroimaging studies have suggested dysfunction of sensory processing and sensorimotor integration, but the results have been inconsistent. This study aimed to determine whether patients with BPS exhibit altered functional brain connectivity and to explore possible correlations between these networks and clinical variables. Twenty-five patients with BPS and 25 healthy controls were enrolled. We found that the patient group exhibited decreased connectivity within the sensory-motor network (SMN), which involved regions of the bilateral primary sensorimotor cortex, supplementary motor area (SMA), right premotor cortex, bilateral precuneus and left superior parietal cortex. Within the right fronto-parietal network, decreased connections were observed in the middle frontal gyrus, dorsal lateral prefrontal cortex and inferior frontal gyrus. Regarding the salience network (SN), increased connectivity was observed in the left superior frontal gyrus and middle frontal gyrus. These findings suggest the involvement of multiple neural networks in primary BPS.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 13%
Other 3 13%
Professor 3 13%
Professor > Associate Professor 2 9%
Student > Ph. D. Student 1 4%
Other 3 13%
Unknown 8 35%
Readers by discipline Count As %
Medicine and Dentistry 6 26%
Neuroscience 4 17%
Unspecified 3 13%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Unknown 9 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 20 January 2020.
All research outputs
#14,063,221
of 22,971,207 outputs
Outputs from Frontiers in Human Neuroscience
#4,305
of 7,181 outputs
Outputs of similar age
#167,609
of 310,791 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#128
of 186 outputs
Altmetric has tracked 22,971,207 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,181 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 37th percentile – i.e., 37% of its peers scored the same or lower than it.
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 310,791 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 186 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.