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

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 neurologi...

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Autores principales: Hamamoto, Yuji, Hasegawa, Daisuke, Yu, Yoshihiko, Asada, Rikako, Mizoguchi, Shunta, Kuwabara, Takayuki, Wada, Masae, Fujiwara-Igarashi, Aki, Fujita, Michio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6066542/
https://www.ncbi.nlm.nih.gov/pubmed/30087902
http://dx.doi.org/10.3389/fvets.2018.00172
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author Hamamoto, Yuji
Hasegawa, Daisuke
Yu, Yoshihiko
Asada, Rikako
Mizoguchi, Shunta
Kuwabara, Takayuki
Wada, Masae
Fujiwara-Igarashi, Aki
Fujita, Michio
author_facet Hamamoto, Yuji
Hasegawa, Daisuke
Yu, Yoshihiko
Asada, Rikako
Mizoguchi, Shunta
Kuwabara, Takayuki
Wada, Masae
Fujiwara-Igarashi, Aki
Fujita, Michio
author_sort Hamamoto, Yuji
collection PubMed
description 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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spelling pubmed-60665422018-08-07 Statistical Structural Analysis of Familial Spontaneous Epileptic Cats Using Voxel-Based Morphometry Hamamoto, Yuji Hasegawa, Daisuke Yu, Yoshihiko Asada, Rikako Mizoguchi, Shunta Kuwabara, Takayuki Wada, Masae Fujiwara-Igarashi, Aki Fujita, Michio Front Vet Sci Veterinary Science 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. Frontiers Media S.A. 2018-07-24 /pmc/articles/PMC6066542/ /pubmed/30087902 http://dx.doi.org/10.3389/fvets.2018.00172 Text en Copyright © 2018 Hamamoto, Hasegawa, Yu, Asada, Mizoguchi, Kuwabara, Wada, Fujiwara-Igarashi and Fujita. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Veterinary Science
Hamamoto, Yuji
Hasegawa, Daisuke
Yu, Yoshihiko
Asada, Rikako
Mizoguchi, Shunta
Kuwabara, Takayuki
Wada, Masae
Fujiwara-Igarashi, Aki
Fujita, Michio
Statistical Structural Analysis of Familial Spontaneous Epileptic Cats Using Voxel-Based Morphometry
title Statistical Structural Analysis of Familial Spontaneous Epileptic Cats Using Voxel-Based Morphometry
title_full Statistical Structural Analysis of Familial Spontaneous Epileptic Cats Using Voxel-Based Morphometry
title_fullStr Statistical Structural Analysis of Familial Spontaneous Epileptic Cats Using Voxel-Based Morphometry
title_full_unstemmed Statistical Structural Analysis of Familial Spontaneous Epileptic Cats Using Voxel-Based Morphometry
title_short Statistical Structural Analysis of Familial Spontaneous Epileptic Cats Using Voxel-Based Morphometry
title_sort statistical structural analysis of familial spontaneous epileptic cats using voxel-based morphometry
topic Veterinary Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6066542/
https://www.ncbi.nlm.nih.gov/pubmed/30087902
http://dx.doi.org/10.3389/fvets.2018.00172
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