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A Voxel-Wise Meta-Analysis of Gray Matter Abnormalities in Essential Tremor

Overview of attention for article published in Frontiers in Neurology, June 2018
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Title
A Voxel-Wise Meta-Analysis of Gray Matter Abnormalities in Essential Tremor
Published in
Frontiers in Neurology, June 2018
DOI 10.3389/fneur.2018.00495
Pubmed ID
Authors

Qing Han, Yanbing Hou, Huifang Shang

Abstract

Objective: To identify the consistent gray matter (GM) volume changes from the whole brain voxel-based morphometry (VBM) studies on essential tremor (ET). Methods: The whole brain VBM studies comparing ET patients and healthy controls (HCs) were systematically searched in the PubMed, Embase and Web of Science from January 2000 to December 2017. Coordinates with significant differences in regional GM volume between ET patients and HCs were extracted from included studies and the meta-analysis was performed using effect size-based signed differential mapping (ES-SDM). Results: A total of 10 studies with 241 ET patients and 213 HCs were included in the meta-analysis. The consistent GM volume reduction was detected in the left precuneus extending to the left posterior cingulate gyrus. The subgroup meta-analysis which included studies performed on a 3.0 T scanner revealed significant GM volume increases in the bilateral frontal lobes, bilateral temporal lobes, left insula, left striatum and left pons, but obvious publication biases of these findings were detected through funnel plots and Egger's tests. Conclusions: The consistent result of our meta-analysis showed a structural damage in the left precuneus extending to the left posterior cingulate gyrus, which possibly played a role in the cognitive dysfunction and depression in ET patients. It might enhance our understanding of the pathophysiological mechanisms underlying ET.

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The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 28%
Researcher 5 20%
Student > Master 3 12%
Student > Bachelor 2 8%
Professor > Associate Professor 2 8%
Other 2 8%
Unknown 4 16%
Readers by discipline Count As %
Neuroscience 9 36%
Computer Science 3 12%
Medicine and Dentistry 3 12%
Psychology 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 2 8%
Unknown 6 24%
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 28 June 2018.
All research outputs
#18,640,437
of 23,092,602 outputs
Outputs from Frontiers in Neurology
#7,906
of 12,007 outputs
Outputs of similar age
#254,208
of 329,072 outputs
Outputs of similar age from Frontiers in Neurology
#201
of 318 outputs
Altmetric has tracked 23,092,602 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,007 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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We're also able to compare this research output to 318 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.