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Statistical Structural Analysis of Familial Spontaneous Epileptic Cats Using Voxel-Based Morphometry

Overview of attention for article published in Frontiers in Veterinary Science, July 2018
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Title
Statistical Structural Analysis of Familial Spontaneous Epileptic Cats Using Voxel-Based Morphometry
Published in
Frontiers in Veterinary Science, July 2018
DOI 10.3389/fvets.2018.00172
Pubmed ID
Authors

Yuji Hamamoto, Daisuke Hasegawa, Yoshihiko Yu, Rikako Asada, Shunta Mizoguchi, Takayuki Kuwabara, Masae Wada, Aki Fujiwara-Igarashi, Michio Fujita

Abstract

Voxel-based morphometry (VBM) based on high resolution three-dimensional data of magnetic resonance imaging has been developed as a statistical morphometric imaging analysis method to locate brain abnormalities in humans. Recently, VBM has been used for human patients with psychological or neurological disorders such as Alzheimer's disease, Parkinson's disease, and epilepsy. Traditional volumetry using region of interest (ROI) is performed manually and the observer needs detailed knowledge of the neuroanatomy having to trace objects of interest on many slices which can cause artificial errors. In contrast, VBM is an automatic technique that has less observer biases compared to the ROI method. In humans, VBM analysis is performed in patients with epilepsy to detect accurately structural abnormalities. Familial spontaneous epileptic cats (FSECs) have been developed as an animal model of mesial temporal lobe epilepsy. In FSECs, hippocampal asymmetry had been detected using three-dimensional magnetic resonance (MR) volumetry based on the ROI method. In this study, we produced a standard template of the feline brain and compared FSECs and healthy cats using standard VBM analysis. The feline standard template and tissue probability maps were created using 38 scans from 14 healthy cats. Subsequently, the gray matter was compared between FSECs (n = 25) and healthy controls (n = 12) as group analysis and between each FSEC and controls as individual analysis. The feline standard template and tissue probability maps could be created using the VBM tools for humans. There was no significant reduction of GM in the FSEC group compared to the control group. However, 5/25 (20%) FSECs showed significant decreases in the hippocampal and/or amygdaloid regions in individual analysis. Here, we established the feline standard templates of the brain that can be used to determine accurately abnormal zones. Furthermore, like MR volumetry, VBM identified morphometric changes in the hippocampus and/or amygdala in some FSECs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Other 7 16%
Student > Master 6 14%
Researcher 5 12%
Student > Postgraduate 4 9%
Student > Doctoral Student 3 7%
Other 8 19%
Unknown 10 23%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 19 44%
Neuroscience 7 16%
Medicine and Dentistry 3 7%
Business, Management and Accounting 1 2%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 1 2%
Unknown 11 26%
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 30 August 2018.
All research outputs
#15,014,589
of 23,096,849 outputs
Outputs from Frontiers in Veterinary Science
#2,720
of 6,392 outputs
Outputs of similar age
#198,281
of 329,806 outputs
Outputs of similar age from Frontiers in Veterinary Science
#59
of 95 outputs
Altmetric has tracked 23,096,849 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,392 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has gotten more attention than average, scoring higher than 51% 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 329,806 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 95 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.