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Grey matter volume in healthy and epileptic beagles using voxel-based morphometry – a pilot study

BACKGROUND: One of the most common chronic neurological disorders in dogs is idiopathic epilepsy (IE) diagnosed as epilepsy without structural changes in the brain. In the current study the hypothesis should be proven that subtle grey matter changes occur in epileptic dogs. Therefore, magnetic reson...

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Autores principales: Frank, Lisa, Lüpke, Matthias, Kostic, Draginja, Löscher, Wolfgang, Tipold, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5819682/
https://www.ncbi.nlm.nih.gov/pubmed/29463250
http://dx.doi.org/10.1186/s12917-018-1373-8
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author Frank, Lisa
Lüpke, Matthias
Kostic, Draginja
Löscher, Wolfgang
Tipold, Andrea
author_facet Frank, Lisa
Lüpke, Matthias
Kostic, Draginja
Löscher, Wolfgang
Tipold, Andrea
author_sort Frank, Lisa
collection PubMed
description BACKGROUND: One of the most common chronic neurological disorders in dogs is idiopathic epilepsy (IE) diagnosed as epilepsy without structural changes in the brain. In the current study the hypothesis should be proven that subtle grey matter changes occur in epileptic dogs. Therefore, magnetic resonance (MR) images of one dog breed (Beagles) were used to obtain an approximately uniform brain shape. Local differences in grey matter volume (GMV) were compared between 5 healthy Beagles and 10 Beagles with spontaneously recurrent seizures (5 dogs with IE and 5 dogs with structural epilepsy (SE)), using voxel-based morphometry (VBM). T1W images of all dogs were prepared using Amira 6.3.0 for brain extraction, FSL 4.1.8 for registration and SPM12 for realignment. After creation of tissue probability maps of cerebrospinal fluid, grey and white matter from control images to segment all extracted brains, GM templates for each group were constructed to normalize brain images for parametric statistical analysis, which was achieved using SPM12. RESULTS: Epileptic Beagles (IE and SE Beagles) displayed statistically significant reduced GMV in olfactory bulb, cingulate gyrus, hippocampus and cortex, especially in temporal and occipital lobes. Beagles with IE showed statistically significant decreased GMV in olfactory bulb, cortex of parietal and temporal lobe, hippocampus and cingulate gyrus, Beagles with SE mild statistically significant GMV reduction in temporal lobe (p < 0.05; family- wise error correction). CONCLUSION: These results suggest that, as reported in epileptic humans, focal reduction in GMV also occurs in epileptic dogs. Furthermore, the current study shows that VBM analysis represents an excellent method to detect GMV differences of the brain between a healthy dog group and dogs with epileptic syndrome, when MR images of one breed are used.
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spelling pubmed-58196822018-02-26 Grey matter volume in healthy and epileptic beagles using voxel-based morphometry – a pilot study Frank, Lisa Lüpke, Matthias Kostic, Draginja Löscher, Wolfgang Tipold, Andrea BMC Vet Res Research Article BACKGROUND: One of the most common chronic neurological disorders in dogs is idiopathic epilepsy (IE) diagnosed as epilepsy without structural changes in the brain. In the current study the hypothesis should be proven that subtle grey matter changes occur in epileptic dogs. Therefore, magnetic resonance (MR) images of one dog breed (Beagles) were used to obtain an approximately uniform brain shape. Local differences in grey matter volume (GMV) were compared between 5 healthy Beagles and 10 Beagles with spontaneously recurrent seizures (5 dogs with IE and 5 dogs with structural epilepsy (SE)), using voxel-based morphometry (VBM). T1W images of all dogs were prepared using Amira 6.3.0 for brain extraction, FSL 4.1.8 for registration and SPM12 for realignment. After creation of tissue probability maps of cerebrospinal fluid, grey and white matter from control images to segment all extracted brains, GM templates for each group were constructed to normalize brain images for parametric statistical analysis, which was achieved using SPM12. RESULTS: Epileptic Beagles (IE and SE Beagles) displayed statistically significant reduced GMV in olfactory bulb, cingulate gyrus, hippocampus and cortex, especially in temporal and occipital lobes. Beagles with IE showed statistically significant decreased GMV in olfactory bulb, cortex of parietal and temporal lobe, hippocampus and cingulate gyrus, Beagles with SE mild statistically significant GMV reduction in temporal lobe (p < 0.05; family- wise error correction). CONCLUSION: These results suggest that, as reported in epileptic humans, focal reduction in GMV also occurs in epileptic dogs. Furthermore, the current study shows that VBM analysis represents an excellent method to detect GMV differences of the brain between a healthy dog group and dogs with epileptic syndrome, when MR images of one breed are used. BioMed Central 2018-02-20 /pmc/articles/PMC5819682/ /pubmed/29463250 http://dx.doi.org/10.1186/s12917-018-1373-8 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Frank, Lisa
Lüpke, Matthias
Kostic, Draginja
Löscher, Wolfgang
Tipold, Andrea
Grey matter volume in healthy and epileptic beagles using voxel-based morphometry – a pilot study
title Grey matter volume in healthy and epileptic beagles using voxel-based morphometry – a pilot study
title_full Grey matter volume in healthy and epileptic beagles using voxel-based morphometry – a pilot study
title_fullStr Grey matter volume in healthy and epileptic beagles using voxel-based morphometry – a pilot study
title_full_unstemmed Grey matter volume in healthy and epileptic beagles using voxel-based morphometry – a pilot study
title_short Grey matter volume in healthy and epileptic beagles using voxel-based morphometry – a pilot study
title_sort grey matter volume in healthy and epileptic beagles using voxel-based morphometry – a pilot study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5819682/
https://www.ncbi.nlm.nih.gov/pubmed/29463250
http://dx.doi.org/10.1186/s12917-018-1373-8
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