Comparative mouse brain tractography of diffusion magnetic resonance imaging
| Autor: | Nyoman D. Kurniawan, Kerstin Pannek, Renée V. Hoch, Linda J. Richards, Randal X. Moldrich, John L.R. Rubenstein |
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| Rok vydání: | 2010 |
| Předmět: |
Models
Anatomic Frontal cortex Cognitive Neuroscience Grey matter Nerve Fibers Myelinated Article White matter Mice Thalamus Region of interest Neural Pathways medicine Animals Computer Simulation Probabilistic analysis of algorithms Cerebral Cortex Mice Knockout Neurons medicine.diagnostic_test Magnetic resonance imaging Diffusion Tensor Imaging medicine.anatomical_structure Neurology Psychology Neuroscience Tractography Diffusion MRI |
| Zdroj: | NeuroImage. 51:1027-1036 |
| ISSN: | 1053-8119 |
| DOI: | 10.1016/j.neuroimage.2010.03.035 |
| Popis: | Diffusion magnetic resonance imaging (dMRI) tractography can be employed to simultaneously analyze three-dimensional white matter tracts in the brain. Numerous methods have been proposed to model diffusion-weighted magnetic resonance data for tractography, and we have explored the functionality of some of these for studying white and grey matter pathways in ex vivo mouse brain. Using various deterministic and probabilistic algorithms across a range of regions of interest we found that probabilistic tractography provides a more robust means of visualizing both white and grey matter pathways than deterministic tractography. Importantly, we demonstrate the sensitivity of probabilistic tractography profiles to streamline number, step size, curvature, fiber orientation distribution threshold, and wholebrain versus region of interest seeding. Using anatomically well-defined corticothalamic pathways, we show how projection maps can permit the topographical assessment of probabilistic tractography. Finally, we show how different tractography approaches can impact on dMRI assessment of tract changes in a mouse deficient for the frontal cortex morphogen, fibroblast growth factor 17. In conclusion, probabilistic tractography can elucidate the phenotypes of mice with neurodegenerative or neurodevelopmental disorders in a quantitative manner. |
| Databáze: | OpenAIRE |
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