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Cerebellum Abnormalities in Idiopathic Generalized Epilepsy with Generalized Tonic-Clonic Seizures Revealed by Diffusion Tensor Imaging

Overview of attention for article published in PLOS ONE, December 2010
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Title
Cerebellum Abnormalities in Idiopathic Generalized Epilepsy with Generalized Tonic-Clonic Seizures Revealed by Diffusion Tensor Imaging
Published in
PLOS ONE, December 2010
DOI 10.1371/journal.pone.0015219
Pubmed ID
Authors

Yonghui Li, Hanjian Du, Bing Xie, Nan Wu, Jian Wang, Guocai Wu, Hua Feng, Tianzi Jiang

Abstract

Although there is increasing evidence suggesting that there may be subtle abnormalities in idiopathic generalized epilepsy (IGE) patients using modern neuroimaging techniques, most of these previous studies focused on the brain grey matter, leaving the underlying white matter abnormalities in IGE largely unknown, which baffles the treatment as well as the understanding of IGE. In this work, we adopted multiple methods from different levels based on diffusion tensor imaging (DTI) to analyze the white matter abnormalities in 14 young male IGE patients with generalized tonic-clonic seizures (GTCS) only, comparing with 29 age-matched male healthy controls. First, we performed a voxel-based analysis (VBA) of the fractional anisotropy (FA) images derived from DTI. Second, we used a tract-based spatial statistics (TBSS) method to explore the alterations within the white matter skeleton of the patients. Third, we adopted region-of-interest (ROI) analyses based on the findings of VBA and TBSS to further confirm abnormal brain regions in the patients. At last, considering the convergent evidences we found by VBA, TBSS and ROI analyses, a subsequent probabilistic fiber tractography study was performed to investigate the abnormal white matter connectivity in the patients. Significantly decreased FA values were consistently observed in the cerebellum of patients, providing fresh evidence and new clues for the important role of cerebellum in IGE with GTCS.

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Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
Colombia 1 1%
Italy 1 1%
Switzerland 1 1%
Spain 1 1%
United Kingdom 1 1%
Unknown 73 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 30%
Student > Ph. D. Student 15 19%
Student > Master 7 9%
Student > Postgraduate 6 7%
Professor > Associate Professor 5 6%
Other 12 15%
Unknown 12 15%
Readers by discipline Count As %
Medicine and Dentistry 22 27%
Neuroscience 15 19%
Agricultural and Biological Sciences 9 11%
Engineering 7 9%
Computer Science 4 5%
Other 10 12%
Unknown 14 17%
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 06 January 2011.
All research outputs
#20,142,242
of 22,647,730 outputs
Outputs from PLOS ONE
#172,522
of 193,359 outputs
Outputs of similar age
#171,172
of 181,646 outputs
Outputs of similar age from PLOS ONE
#1,037
of 1,082 outputs
Altmetric has tracked 22,647,730 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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