Literature DB >> 27108357

Morphological asymmetries of mouse brain assessed by geometric morphometric analysis of MRI data.

Jimena Barbeito-Andrés1, Valeria Bernal2, Paula N Gonzalez3.   

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.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Hippocampus; Landmarks and semilandmarks; MicroMRI; Procrustes ANOVA; Shape asymmetry

Mesh:

Year:  2016        PMID: 27108357     DOI: 10.1016/j.mri.2016.04.006

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  5 in total

1.  Measurement error in μCT-based three-dimensional geometric morphometrics introduced by surface generation and landmark data acquisition.

Authors:  Karolin Engelkes; Jennice Helfsgott; Jörg U Hammel; Sebastian Büsse; Thomas Kleinteich; André Beerlink; Stanislav N Gorb; Alexander Haas
Journal:  J Anat       Date:  2019-05-07       Impact factor: 2.610

2.  Analysis of facial skeletal asymmetry during foetal development using μCT imaging.

Authors:  Motoki Katsube; Sara M Rolfe; Stephanie R Bortolussi; Yutaka Yamaguchi; Joy M Richman; Shigehito Yamada; Siddharth R Vora
Journal:  Orthod Craniofac Res       Date:  2019-05       Impact factor: 1.826

3.  Cerebral Artery Diameter in Inbred Mice Varies as a Function of Strain.

Authors:  Baogang Qian; Robert F Rudy; Tianxi Cai; Rose Du
Journal:  Front Neuroanat       Date:  2018-02-20       Impact factor: 3.856

4.  Procrustes-based geometric morphometrics on MRI images: An example of inter-operator bias in 3D landmarks and its impact on big datasets.

Authors:  Amro Daboul; Tatyana Ivanovska; Robin Bülow; Reiner Biffar; Andrea Cardini
Journal:  PLoS One       Date:  2018-05-22       Impact factor: 3.240

Review 5.  Translational Genetic Modelling of 3D Craniofacial Dysmorphology: Elaborating the Facial Phenotype of Neurodevelopmental Disorders Through the "Prism" of Schizophrenia.

Authors:  John L Waddington; Stanislav Katina; Colm M P O'Tuathaigh; Adrian W Bowman
Journal:  Curr Behav Neurosci Rep       Date:  2017-11-09
  5 in total

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