A diffusion MRI tractography
connectome of the mouse brain and comparison with neuronal tracer data
Evan Calabrese, Alexandra Badea, Gary Cofer, Yi Qi, G. Allan
Center for In Vivo Microscopy, Duke University Medical Center
Publishedin Cerebral Cortex (E-pub ahead of print) June 5, 2015 (PMID: 26048951) - Free full text through Open Access
Interest in structural brain connectivity has grown with the
understanding that abnormal neural connections may play a role in
neurologic and psychiatric diseases. Small-animal connectivity
mapping techniques are particularly important for identifying
aberrant connectivity in disease models. Diffusion MRI tractography
can provide non-destructive, 3D, digital, brain-wide connectivity
maps, but has historically been limited by low spatial resolution,
low signal-to-noise ratio, and the difficulty in estimating
multiple fiber orientations within a single image voxel.
Small-animal diffusion tractography can be substantially improved
through the combination of ex-vivo MRI with exogenous contrast
agents, advanced diffusion acquisition and reconstruction
techniques, and probabilistic fiber tracking. Here, we present a
comprehensive, probabilistic tractography connectome of the mouse
brain at microscopic resolution. This work serves as a reference
database for future tractography studies in the mouse brain, and
demonstrates an automated pipeline for assessing brain-wide
connectivity in mouse models of human brain diseases.
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the following acknowledgement: Imaging data provided by the Duke
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All imaging was performed at the Duke Center for In Vivo
Microscopy, an NIH/NIBIB National Biomedical Technology Resource
Center (P41 EB015897). This project was also supported by NIH/Office of the Director (1S10OD010683-1).