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Postnatal Guinea Pig Brain Development, as Revealed by Magnetic Resonance and Diffusion Kurtosis Imaging
Roger J Mullins1,2, Su Xu1,3, Jiachen Zhuo1,3
1Department of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
Brain structure in male guinea pigs changes significantly with age, particularly in areas like the corpus callosum and amygdala. These age-dependent brain alterations may influence neurobehavior.
Area of Science:
- Neuroscience
- Developmental Biology
- Biomedical Imaging
Background:
- Understanding age-related brain development is crucial for interpreting neurobehavioral changes.
- Dunkin Hartley guinea pigs offer a valuable model for studying mammalian brain maturation.
Purpose of the Study:
- To investigate age-dependent changes in brain structure using in vivo magnetic resonance imaging (MRI) in male Dunkin Hartley guinea pigs.
- To characterize microstructural complexity and regional variations during brain maturation.
Main Methods:
- Acquisition of anatomical T2-weighted images, diffusion kurtosis imaging (DKI), and T2 relaxometry in guinea pigs at juvenile, adolescent, and young adult stages.
- Analysis of whole-brain and regional diffusion metrics, including fractional anisotropy (FA) and kurtosis measures.
- Comparison of diffusion tensor imaging (DTI) and DKI metrics to assess age-related microstructural changes.
Main Results:
- Significant increases in fractional anisotropy (FA) and kurtosis measures were observed in the corpus callosum, amygdala, striatum, and thalamus from juvenile to young adult stages.
- Age-related DKI metrics changes were more pronounced than diffusion tensor metrics changes.
- Less pronounced age-related changes in FA and kurtosis were noted in the parietal cortex and dorsal hippocampus.
Conclusions:
- Maturation significantly impacts the microstructural complexity of the male guinea pig brain.
- Age-dependent anatomical differences identified may be key determinants of neurobehavioral variations.
- DKI is a sensitive tool for detecting age-related microstructural alterations in the developing brain.
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