Journal article
Connectome and Maturation Profiles of the Developing Mouse Brain Using Diffusion Tensor Imaging
Cerebral cortex (New York, N.Y. 1991), Vol.25(9), pp.2696-2706
09/2015
DOI: 10.1093/cercor/bhu068
PMCID: PMC4537430
PMID: 24711485
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.
Details
- Title: Subtitle
- Connectome and Maturation Profiles of the Developing Mouse Brain Using Diffusion Tensor Imaging
- Creators
- Madhura Ingalhalikar - Section of Biomedical Image Analysis, Department of RadiologyDrew Parker - Section of Biomedical Image Analysis, Department of RadiologyYasser Ghanbari - Section of Biomedical Image Analysis, Department of RadiologyAlex Smith - Section of Biomedical Image Analysis, Department of RadiologyKegang Hua - Kennedy Krieger Institute, Johns Hopkins University Baltimore, MD 21205, USASusumu Mori - Kennedy Krieger Institute, Johns Hopkins University Baltimore, MD 21205, USATed Abel - Department of Biology, University of Pennsylvania, PA 19104, USAChristos Davatzikos - Section of Biomedical Image Analysis, Department of RadiologyRagini Verma - Section of Biomedical Image Analysis, Department of Radiology
- Resource Type
- Journal article
- Publication Details
- Cerebral cortex (New York, N.Y. 1991), Vol.25(9), pp.2696-2706
- Publisher
- United States
- DOI
- 10.1093/cercor/bhu068
- PMID
- 24711485
- PMCID
- PMC4537430
- ISSN
- 1047-3211
- eISSN
- 1460-2199
- Grant note
- R01 MH070365 / NIMH NIH HHS
- Language
- English
- Date published
- 09/2015
- Academic Unit
- Molecular Physiology and Biophysics; Psychiatry; Psychological and Brain Sciences; Iowa Neuroscience Institute; Neuroscience and Pharmacology; Biochemistry and Molecular Biology
- Record Identifier
- 9984065731502771
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