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  Single-shot T1 mapping of the corpus callosum: A rapid characterization of fiber bundle anatomy.

Hofer, S., Wang, X., Roeloffs, V. B., & Frahm, J. (2015). Single-shot T1 mapping of the corpus callosum: A rapid characterization of fiber bundle anatomy. Frontiers in Neuroanatomy, 9: 57. doi:10.3389/fnana.2015.00057.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0026-CE5A-7 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002A-12CD-4
Genre: Journal Article

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 Creators:
Hofer, S.1, Author              
Wang , X., Author
Roeloffs, V. B.1, Author              
Frahm, J.1, Author              
Affiliations:
1Biomedical NMR Research GmbH, MPI for biophysical chemistry, Max Planck Society, ou_578634              

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Free keywords: MRI, human brain, T1 mapping, corpus callosum, fiber anatomy
 Abstract: Using diffusion-tensor magnetic resonance imaging and fiber tractography the topographic organization of the human corpus callosum (CC) has been described to comprise five segments with fibers projecting into prefrontal (I), premotor and supplementary motor (II), primary motor (III), and primary sensory areas (IV), as well as into parietal, temporal, and occipital cortical areas (V). In order to more rapidly characterize the underlying anatomy of these segments, this study used a novel single-shot T1 mapping method to quantitatively determine T1 relaxation times in the human CC. A region-of-interest analysis revealed a tendency for the lowest T1 relaxation times in the genu and the highest T1 relaxation times in the somatomotor region of the CC. This observation separates regions dominated by myelinated fibers with large diameters (somatomotor area) from densely packed smaller axonal bundles (genu) with less myelin. The results indicate that characteristic T1 relaxation times in callosal profiles provide an additional means to monitor differences in fiber anatomy, fiber density, and gray matter in respective neocortical areas. In conclusion, rapid T1 mapping allows for a characterization of the axonal architecture in an individual CC in less than 10 s. The approach emerges as a valuable means for studying neocortical brain anatomy with possible implications for the diagnosis of neurodegenerative processes.

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Language(s): eng - English
 Dates: 2015-05-11
 Publication Status: Published online
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 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.3389/fnana.2015.00057
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Title: Frontiers in Neuroanatomy
Source Genre: Journal
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Pages: 6 Volume / Issue: 9 Sequence Number: 57 Start / End Page: - Identifier: -