TY - JOUR
T1 - Comparative mouse brain tractography of diffusion magnetic resonance imaging
AU - Moldrich, Randal X.
AU - Pannek, Kerstin
AU - Hoch, Renee
AU - Rubenstein, John L.
AU - Kurniawan, Nyoman D.
AU - Richards, Linda J.
N1 - Funding Information:
Thanks to Professor Susumu Mori for a critical reading of the manuscript and Ruopeng Wang for assistance with Diffusion Toolkit. LJR is a Senior Research Fellow of the NHMRC (Australia), and this work is funded from T facility is part of the Queensland NMR network, funded by the Queensland Government Smart State initiative. NHMRC project grant 631552 . JLR acknowledges funding from RO1 grant # NS34661 from NINDS , and RH acknowledges funding from NRSA # 1 F32 MH081431-01A2 . The 16.4
PY - 2010/7
Y1 - 2010/7
N2 - 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.
AB - 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.
KW - Constrained spherical deconvolution
KW - Diffusion-weighted imaging
KW - Fgf17
KW - Mouse brain
KW - Qball
KW - Tractography
UR - http://www.scopus.com/inward/record.url?scp=77952424207&partnerID=8YFLogxK
U2 - 10.1016/j.neuroimage.2010.03.035
DO - 10.1016/j.neuroimage.2010.03.035
M3 - Article
C2 - 20303410
AN - SCOPUS:77952424207
SN - 1053-8119
VL - 51
SP - 1027
EP - 1036
JO - NeuroImage
JF - NeuroImage
IS - 3
ER -