Literature DB >> 26037053

4D MEMRI atlas of neonatal FVB/N mouse brain development.

Kamila U Szulc1, Jason P Lerch2, Brian J Nieman3, Benjamin B Bartelle4, Miriam Friedel5, Giselle A Suero-Abreu1, Charles Watson6, Alexandra L Joyner7, Daniel H Turnbull8.   

Abstract

The widespread use of the mouse as a model system to study brain development has created the need for noninvasive neuroimaging methods that can be applied to early postnatal mice. The goal of this study was to optimize in vivo three- (3D) and four-dimensional (4D) manganese (Mn)-enhanced MRI (MEMRI) approaches for acquiring and analyzing data from the developing mouse brain. The combination of custom, stage-dependent holders and self-gated (motion-correcting) 3D MRI sequences enabled the acquisition of high-resolution (100-μm isotropic), motion artifact-free brain images with a high level of contrast due to Mn-enhancement of numerous brain regions and nuclei. We acquired high-quality longitudinal brain images from two groups of FVB/N strain mice, six mice per group, each mouse imaged on alternate odd or even days (6 3D MEMRI images at each day) covering the developmental stages between postnatal days 1 to 11. The effects of Mn-exposure, anesthesia and MRI were assessed, showing small but significant transient effects on body weight and brain volume, which recovered with time and did not result in significant morphological differences when compared to controls. Metrics derived from deformation-based morphometry (DBM) were used for quantitative analysis of changes in volume and position of a number of brain regions. The cerebellum, a brain region undergoing significant changes in size and patterning at early postnatal stages, was analyzed in detail to demonstrate the spatiotemporal characterization made possible by this new atlas of mouse brain development. These results show that MEMRI is a powerful tool for quantitative analysis of mouse brain development, with great potential for in vivo phenotype analysis in mouse models of neurodevelopmental diseases.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Brain nuclei; Cerebellum; Image registration; Mn-enhanced MRI

Mesh:

Substances:

Year:  2015        PMID: 26037053      PMCID: PMC4554969          DOI: 10.1016/j.neuroimage.2015.05.029

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  58 in total

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Authors:  S Mori; R Itoh; J Zhang; W E Kaufmann; P C van Zijl; M Solaiyappan; P Yarowsky
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2.  Performing label-fusion-based segmentation using multiple automatically generated templates.

Authors:  M Mallar Chakravarty; Patrick Steadman; Matthijs C van Eede; Rebecca D Calcott; Victoria Gu; Philip Shaw; Armin Raznahan; D Louis Collins; Jason P Lerch
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3.  A nonparametric method for automatic correction of intensity nonuniformity in MRI data.

Authors:  J G Sled; A P Zijdenbos; A C Evans
Journal:  IEEE Trans Med Imaging       Date:  1998-02       Impact factor: 10.048

Review 4.  In vivo, trans-synaptic tract-tracing utilizing manganese-enhanced magnetic resonance imaging (MEMRI).

Authors:  Robia G Pautler
Journal:  NMR Biomed       Date:  2004-12       Impact factor: 4.044

5.  Morphologic phenotyping with MR microscopy: the visible mouse.

Authors:  G Allan Johnson; Gary P Cofer; Sally L Gewalt; Laurence W Hedlund
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Review 6.  Neurodevelopmental sequelae of postnatal maternal care in rodents: clinical and research implications of molecular insights.

Authors:  Arie Kaffman; Michael J Meaney
Journal:  J Child Psychol Psychiatry       Date:  2007 Mar-Apr       Impact factor: 8.982

Review 7.  Behavioural phenotyping assays for mouse models of autism.

Authors:  Jill L Silverman; Mu Yang; Catherine Lord; Jacqueline N Crawley
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8.  Engrailed homeobox genes regulate establishment of the cerebellar afferent circuit map.

Authors:  Roy V Sillitoe; Michael W Vogel; Alexandra L Joyner
Journal:  J Neurosci       Date:  2010-07-28       Impact factor: 6.167

Review 9.  MRI in mouse developmental biology.

Authors:  Daniel H Turnbull; Susumu Mori
Journal:  NMR Biomed       Date:  2007-05       Impact factor: 4.044

10.  Three-dimensional, in vivo MRI with self-gating and image coregistration in the mouse.

Authors:  Brian J Nieman; Kamila U Szulc; Daniel H Turnbull
Journal:  Magn Reson Med       Date:  2009-05       Impact factor: 4.668

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  16 in total

1.  4D atlas of the mouse embryo for precise morphological staging.

Authors:  Michael D Wong; Matthijs C van Eede; Shoshana Spring; Stefan Jevtic; Julia C Boughner; Jason P Lerch; R Mark Henkelman
Journal:  Development       Date:  2015-10-15       Impact factor: 6.868

2.  A Mathematical Model of Granule Cell Generation During Mouse Cerebellum Development.

Authors:  Shoshana R Leffler; Emilie Legué; Orlando Aristizábal; Alexandra L Joyner; Charles S Peskin; Daniel H Turnbull
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3.  Mathematical models of human cerebellar development in the fetal period.

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Journal:  J Anat       Date:  2018-01-08       Impact factor: 2.610

4.  Mapping of pain circuitry in early post-natal development using manganese-enhanced MRI in rats.

Authors:  M M Sperry; B M Kandel; S Wehrli; K N Bass; S R Das; P S Dhillon; J C Gee; G A Barr
Journal:  Neuroscience       Date:  2017-04-06       Impact factor: 3.590

5.  MEMRI-based imaging pipeline for guiding preclinical studies in mouse models of sporadic medulloblastoma.

Authors:  Harikrishna Rallapalli; I-Li Tan; Eugenia Volkova; Alexandre Wojcinski; Benjamin C Darwin; Jason P Lerch; Alexandra L Joyner; Daniel H Turnbull
Journal:  Magn Reson Med       Date:  2019-08-12       Impact factor: 4.668

6.  A Deep Learning Approach for Segmentation, Classification, and Visualization of 3-D High-Frequency Ultrasound Images of Mouse Embryos.

Authors:  Ziming Qiu; Tongda Xu; Jack Langerman; William Das; Chuiyu Wang; Nitin Nair; Orlando Aristizabal; Jonathan Mamou; Daniel H Turnbull; Jeffrey A Ketterling; Yao Wang
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2021-06-29       Impact factor: 3.267

Review 7.  Consensus Paper: Cerebellar Development.

Authors:  Ketty Leto; Marife Arancillo; Esther B E Becker; Annalisa Buffo; Chin Chiang; Baojin Ding; William B Dobyns; Isabelle Dusart; Parthiv Haldipur; Mary E Hatten; Mikio Hoshino; Alexandra L Joyner; Masanobu Kano; Daniel L Kilpatrick; Noriyuki Koibuchi; Silvia Marino; Salvador Martinez; Kathleen J Millen; Thomas O Millner; Takaki Miyata; Elena Parmigiani; Karl Schilling; Gabriella Sekerková; Roy V Sillitoe; Constantino Sotelo; Naofumi Uesaka; Annika Wefers; Richard J T Wingate; Richard Hawkes
Journal:  Cerebellum       Date:  2016-12       Impact factor: 3.847

8.  Mouse MRI shows brain areas relatively larger in males emerge before those larger in females.

Authors:  Lily R Qiu; Darren J Fernandes; Kamila U Szulc-Lerch; Jun Dazai; Brian J Nieman; Daniel H Turnbull; Jane A Foster; Mark R Palmert; Jason P Lerch
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Review 9.  Recent Progress in Magnetic Resonance Imaging of the Embryonic and Neonatal Mouse Brain.

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10.  Longitudinal MEMRI analysis of brain phenotypes in a mouse model of Niemann-Pick Type C disease.

Authors:  Harikrishna Rallapalli; Benjamin C Darwin; Estefania Toro-Montoya; Jason P Lerch; Daniel H Turnbull
Journal:  Neuroimage       Date:  2020-05-15       Impact factor: 6.556

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