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Connectome and Maturation Profiles of the Developing Mouse Brain Using Diffusion Tensor Imaging.

ABSTRACT: This paper presents a comprehensive effort to establish a structural mouse connectome using diffusion tensor magnetic resonance imaging coupled with connectivity analysis tools. This work lays the foundation for imaging-based structural connectomics of the mouse brain, potentially facilitating a whole-brain network analysis to quantify brain changes in connectivity during development, as well as deviations from it related to genetic effects. A connectomic trajectory of maturation during postnatal ages 2-80 days is presented in the C57BL/6J mouse strain, using a whole-brain connectivity analysis, followed by investigations based on local and global network features. The global network measures of density, global efficiency, and modularity demonstrated a nonlinear relationship with age. The regional network metrics, namely degree and local efficiency, displayed a differential change in the major subcortical structures such as the thalamus and hippocampus, and cortical regions such as visual and motor cortex. Finally, the connectomes were used to derive an index of "brain connectivity index," which demonstrated a high correlation (r = 0.95) with the chronological age, indicating that brain connectivity is a good marker of normal age progression, hence valuable in detecting subtle deviations from normality caused by genetic, environmental, or pharmacological manipulations.

SUBMITTER: Ingalhalikar M

PROVIDER: S-EPMC4537430 | biostudies-literature | 2015 Sep

REPOSITORIES: biostudies-literature

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Connectome and Maturation Profiles of the Developing Mouse Brain Using Diffusion Tensor Imaging.

Ingalhalikar Madhura M Parker Drew D Ghanbari Yasser Y Smith Alex A Hua Kegang K Mori Susumu S Abel Ted T Davatzikos Christos C Verma Ragini R

Cerebral cortex (New York, N.Y. : 1991) 20140406 9

This paper presents a comprehensive effort to establish a structural mouse connectome using diffusion tensor magnetic resonance imaging coupled with connectivity analysis tools. This work lays the foundation for imaging-based structural connectomics of the mouse brain, potentially facilitating a whole-brain network analysis to quantify brain changes in connectivity during development, as well as deviations from it related to genetic effects. A connectomic trajectory of maturation during postnata ...[more]

PMID: 24711485

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Project description:Diffusion tensor imaging (DTI) has emerged as a promising method for noninvasive quantification of myocardial microstructure. However, the origin and behavior of DTI measurements during myocardial normal development and remodeling remain poorly understood. In this work, conventional and bicompartmental DTI in addition to three-dimensional histological correlation were performed in a sheep model of myocardial development from third trimester to postnatal 5?months of age. Comparing the earliest time points in the third trimester with the postnatal 5?month group, the scalar transverse diffusivities preferentially increased in both left ventricle (LV) and right ventricle (RV): secondary eigenvalues D2 increased by 54% (LV) and 36% (RV), whereas tertiary eigenvalues D3 increased by 85% (LV) and 67% (RV). The longitudinal diffusivity D1 changes were small, which led to a decrease in fractional anisotropy by 41% (LV) and 33% (RV) in 5?month versus fetal hearts. Histological analysis suggested that myocardial development is associated with hyperplasia in the early stages of the third trimester followed by myocyte growth in the later stages up to 5?months of age (increased average myocyte width by 198%, myocyte length by 128%, and decreased nucleus density by 70% between preterm and postnatal 5?month hearts.) In a few histological samples (N?=?6), correlations were observed between DTI longitudinal diffusivity and myocyte length (r?=?0.86, P?<?0.05), and transverse diffusivity and myocyte width (r?=?0.96, P?<?0.01). Linear regression analysis showed that transverse diffusivities are more affected by changes in myocyte size and nucleus density changes than longitudinal diffusivities, which is consistent with predictions of classical models of diffusion in porous media. Furthermore, primary and secondary DTI eigenvectors during development changed significantly. Collectively, the findings demonstrate a role for DTI to monitor and quantify myocardial development, and potentially cardiac disease. Copyright © 2016 John Wiley & Sons, Ltd.

Dataset Information

Connectome and Maturation Profiles of the Developing Mouse Brain Using Diffusion Tensor Imaging.

Publications

Connectome and Maturation Profiles of the Developing Mouse Brain Using Diffusion Tensor Imaging.

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