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dc.contributor.author
Barbeito Andrés, Jimena
dc.contributor.author
Bernal, Valeria
dc.contributor.author
Gonzalez, Paula Natalia
dc.date.available
2017-09-20T20:06:29Z
dc.date.issued
2016-09
dc.identifier.citation
Barbeito Andrés, Jimena; Bernal, Valeria; Gonzalez, Paula Natalia; Morphological asymmetries of mouse brain assessed by geometric morphometric analysis of MRI data; Elsevier Science Inc; Magnetic Resonance Imaging; 34; 7; 9-2016; 980-989
dc.identifier.issn
0730-725X
dc.identifier.uri
http://hdl.handle.net/11336/24745
dc.description.abstract
Mammalian brain has repeated structures at both sides of the median plane, although some asymmetries have been described even under normal conditions. Characterizing normal patterns of asymmetry in mouse brain is important to recognize features that depart from expected ranges in the most widely used mammalian model. Analyses on brain morphology based on magnetic resonance image (MRI) have largely focused on volumes while less is known about shape asymmetry. We introduce a flexible protocol based on geometric morphometrics to assess patterns of asymmetry in shape and size of mouse brain from microMRI scans. After systematic digitization of landmarks and semilandmarks, we combine multivariate methods for statistical analyses with visualization tools to display the results. No preliminary treatment of the images (e.g. space normalization) is needed to collect data on MRI slices and visual representations improve the interpretation of the results. Results indicated that the protocol is highly repeatable. Asymmetry was more evident for shape than for size. Particularly, fluctuating asymmetry accounted for more variation than directional asymmetry in all brain regions. Since this approach can detect subtle shape variation between sides, it is a promising methodology to explore morphological changes in the brain of model organisms and can be applied in future studies addressing the effect of genetic and environmental factors on brain morphology.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Science Inc
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Hippocampus
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Landmarks And Semilandmarks
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Micromri
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Procrustes Anova
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Shape Asymmetry
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Bioquímica y Biología Molecular
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Ciencias Biológicas
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CIENCIAS NATURALES Y EXACTAS
dc.title
Morphological asymmetries of mouse brain assessed by geometric morphometric analysis of MRI data
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2017-09-19T14:17:54Z
dc.journal.volume
34
dc.journal.number
7
dc.journal.pagination
980-989
dc.journal.pais
Estados Unidos
dc.journal.ciudad
New York
dc.description.fil
Fil: Barbeito Andrés, Jimena. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico CONICET- La Plata. Instituto de Genética Veterinaria "Ing. Fernando Noel Dulout". Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Instituto de Genética Veterinaria; Argentina
dc.description.fil
Fil: Bernal, Valeria. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Gonzalez, Paula Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico CONICET- La Plata. Instituto de Genética Veterinaria "Ing. Fernando Noel Dulout". Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Instituto de Genética Veterinaria; Argentina
dc.journal.title
Magnetic Resonance Imaging
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.mri.2016.04.006
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0730725X16300182