Variability and heritability of mouse brain structure: Microscopic MRI atlases and connectomes for diverse strains.

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Tytuł:: Variability and heritability of mouse brain structure: Microscopic MRI atlases and connectomes for diverse strains.
Autorzy:: Wang N; Duke Center for In Vivo Microscopy, Department of Radiology, Duke University, Duke University Medical Center Box 3302, Durham, NC 27710, USA.
Anderson RJ; Duke Center for In Vivo Microscopy, Department of Radiology, Duke University, Duke University Medical Center Box 3302, Durham, NC 27710, USA.
Ashbrook DG; Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN 38163, USA.
Gopalakrishnan V; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21287, USA.
Park Y; Center for Imaging Science, Johns Hopkins University, Baltimore, MD 21287, USA.
Priebe CE; Center for Imaging Science, Johns Hopkins University, Baltimore, MD 21287, USA; Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD 21287, USA.
Qi Y; Duke Center for In Vivo Microscopy, Department of Radiology, Duke University, Duke University Medical Center Box 3302, Durham, NC 27710, USA.
Laoprasert R; Duke Center for In Vivo Microscopy, Department of Radiology, Duke University, Duke University Medical Center Box 3302, Durham, NC 27710, USA.
Vogelstein JT; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21287, USA; Center for Imaging Science, Johns Hopkins University, Baltimore, MD 21287, USA; Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD 21287, USA; Kavli Neuroscience Discovery Institute, Johns Hopkins University, Baltimore, MD 21287, USA.
Williams RW; Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN 38163, USA.
Johnson GA; Duke Center for In Vivo Microscopy, Department of Radiology, Duke University, Duke University Medical Center Box 3302, Durham, NC 27710, USA; Department of Biomedical Engineering, Duke University, Durham, NC 27710, USA. Electronic address: .
Źródło:: NeuroImage [Neuroimage] 2020 Nov 15; Vol. 222, pp. 117274. Date of Electronic Publication: 2020 Aug 18.
Typ publikacji:: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
Język:: English
Imprint Name(s):: Original Publication: Orlando, FL : Academic Press, c1992-
MeSH Terms:: Brain Mapping*
Diffusion Tensor Imaging*/methods
Brain/*anatomy & histology
Brain/*physiology
Animals ; Connectome/methods ; Diffusion Magnetic Resonance Imaging/methods ; Genome-Wide Association Study ; Magnetic Resonance Imaging/methods ; Mice
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Grant Information:: R01 NS096720 United States NS NINDS NIH HHS; R01 AG043930 United States AG NIA NIH HHS; R01 GM123489 United States GM NIGMS NIH HHS; S10 OD010683 United States OD NIH HHS; P41 EB015897 United States EB NIBIB NIH HHS
Contributed Indexing:: Keywords: Connectome; MR microscopy; MRI/DTI; Mouse brain
Entry Date(s):: Date Created: 20200821 Date Completed: 20210329 Latest Revision: 20240403
Update Code:: 20240403
PubMed Central ID:: PMC8442986
DOI:: 10.1016/j.neuroimage.2020.117274
PMID:: 32818613
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Genome-wide association studies have demonstrated significant links between human brain structure and common DNA variants. Similar studies with rodents have been challenging because of smaller brain volumes. Using high field MRI (9.4 T) and compressed sensing, we have achieved microscopic resolution and sufficiently high throughput for rodent population studies. We generated whole brain structural MRI and diffusion connectomes for four diverse isogenic lines of mice (C57BL/6J, DBA/2J, CAST/EiJ, and BTBR) at spatial resolution 20,000 times higher than human connectomes. We measured narrow sense heritability (h 2 ) I.e. the fraction of variance explained by strains in a simple ANOVA model for volumes and scalar diffusion metrics, and estimates of residual technical error for 166 regions in each hemisphere and connectivity between the regions. Volumes of discrete brain regions had the highest mean heritability (0.71 ± 0.23 SD, n = 332), followed by fractional anisotropy (0.54 ± 0.26), radial diffusivity (0.34 ± 0.022), and axial diffusivity (0.28 ± 0.19). Connection profiles were statistically different in 280 of 322 nodes across all four strains. Nearly 150 of the connection profiles were statistically different between the C57BL/6J, DBA/2J, and CAST/EiJ lines. Microscopic whole brain MRI/DTI has allowed us to identify significant heritable phenotypes in brain volume, scalar DTI metrics, and quantitative connectomes.
Competing Interests: Declaration of Competing Interest None.
(Copyright © 2020. Published by Elsevier Inc.)

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