Evidence map›Paper›PMID 30087902›Full record

ArticleFrontiers in veterinary science2018

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

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

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 41% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Yuji HamamotoDepartment of Clinical Veterinary Medicine, Nippon Veterinary and Life Science University, Musashino, Japan.
Daisuke HasegawaDepartment of Clinical Veterinary Medicine, Nippon Veterinary and Life Science University, Musashino, Japan.
Yoshihiko YuDepartment of Clinical Veterinary Medicine, Nippon Veterinary and Life Science University, Musashino, Japan.
Rikako AsadaDepartment of Clinical Veterinary Medicine, Nippon Veterinary and Life Science University, Musashino, Japan.
Shunta MizoguchiDepartment of Clinical Veterinary Medicine, Nippon Veterinary and Life Science University, Musashino, Japan.
Takayuki KuwabaraDepartment of Clinical Veterinary Medicine, Nippon Veterinary and Life Science University, Musashino, Japan.
Masae WadaDepartment of Clinical Veterinary Medicine, Nippon Veterinary and Life Science University, Musashino, Japan.
Aki Fujiwara-IgarashiDepartment of Clinical Veterinary Medicine, Nippon Veterinary and Life Science University, Musashino, Japan.
Michio FujitaDepartment of Clinical Veterinary Medicine, Nippon Veterinary and Life Science University, Musashino, Japan.
Nippon Veterinary and Life Science University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 (

Indexed as

amygdalacatsepilepsyhippocampusmagnetic resonance imagingvoxel-based morphometry

Identifiers

PMID30087902
PMCPMC6066542
OpenAlexW2884922987

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.