A Diffusion MRI Tractography Connectome of the Mouse Brain and Comparison with Neuronal Tracer Data.
Abstract
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 magnetic resonance imaging tractography
can provide nondestructive, 3D, 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, and a comparison
of these data with a neuronal tracer-based connectivity data from the Allen Brain
Atlas. This work serves as a reference database for future tractography studies in
the mouse brain, and demonstrates the fundamental differences between tractography
and neuronal tracer data.
Type
Journal articleSubject
connectomemagnetic resonance imaging
mouse
neuroanatomy
tractography
Animals
Brain
Connectome
Contrast Media
Diffusion Magnetic Resonance Imaging
Image Processing, Computer-Assisted
Male
Mice
Mice, Inbred C57BL
Models, Neurological
Neural Pathways
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https://hdl.handle.net/10161/10325Published Version (Please cite this version)
10.1093/cercor/bhv121Publication Info
Calabrese, Evan; Badea, Alexandra; Cofer, Gary; Qi, Yi; & Johnson, G Allan (2015). A Diffusion MRI Tractography Connectome of the Mouse Brain and Comparison with Neuronal
Tracer Data. Cereb Cortex, 25(11). pp. 4628-4637. 10.1093/cercor/bhv121. Retrieved from https://hdl.handle.net/10161/10325.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Alexandra Badea
Associate Professor in Radiology
I have a joint appointment in Radiology and Neurology and my research focuses on neurological
conditions like Alzheimer’s disease. I work on imaging and analysis to provide a comprehensive
characterization of the brain. MRI is particularly suitable for brain imaging, and
diffusion tensor imaging is an important tool for studying brain microstructure, and
the connectivity amongst gray matter regions. I am interested in image segmentation,
morphometry and shape ana
Evan Calabrese
Assistant Professor of Radiology
G. Allan Johnson
Charles E. Putman University Distinguished Professor of Radiology
Dr. Johnson is the Charles E. Putman University Professor of Radiology, Professor
of Physics, and Biomedical Engineering, and Director of the Duke Center for In Vivo
Microscopy (CIVM). The CIVM is an NIH/NIBIB national Biomedical Technology Resource
Center with a mission to develop novel technologies for preclinical imaging (basic
sciences) and apply the technologies to critical biomedical questions. Dr. Johnson
was one of the first researchers to bring Paul Lauterbur's vision of magnetic resona
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