Diffusion-based tractography atlas of the human acoustic radiation

Diffusion MRI tractography allows in-vivo characterization of white matter architecture, including the localization and description of brain fibre bundles. However, some primary bundles are still only partially reconstructed, or not reconstructed at all. The acoustic radiation (AR) represents a prim...

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Veröffentlicht in:Scientific reports Jg. 9; H. 1; S. 4046
Hauptverfasser: Maffei, Chiara, Sarubbo, Silvio, Jovicich, Jorge
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London Nature Publishing Group UK 11.03.2019
Nature Publishing Group
Schlagworte:
59/57
631/378/2619
631/378/2649
Acoustics
Adult
Auditory Pathways - diagnostic imaging
Auditory Pathways - physiology
Brain
Brain - anatomy & histology
Brain - diagnostic imaging
Brain - physiology
Connectome
Diffusion Magnetic Resonance Imaging - methods
Diffusion Tensor Imaging - methods
Hemispheric laterality
Humanities and Social Sciences
Humans
Image Processing, Computer-Assisted - methods
Investigations
Localization
Magnetic resonance imaging
multidisciplinary
Nerve Fibers - physiology
Radiation
Science
Science (multidisciplinary)
Substantia alba
White Matter - anatomy & histology
White Matter - diagnostic imaging
White Matter - physiology
ISSN:2045-2322, 2045-2322
Online-Zugang:Volltext
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Zusammenfassung:Diffusion MRI tractography allows in-vivo characterization of white matter architecture, including the localization and description of brain fibre bundles. However, some primary bundles are still only partially reconstructed, or not reconstructed at all. The acoustic radiation (AR) represents a primary sensory pathway that has been largely omitted in many tractography studies because its location and anatomical features make it challenging to reconstruct. In this study, we investigated the effects of acquisition and tractography parameters on the AR reconstruction using publicly available Human Connectome Project data. The aims of this study are: (i) using a subgroup of subjects and a reference AR for each subject, define an optimum set of parameters for AR reconstruction, and (ii) use the optimum parameters set on the full group to build a tractography-based atlas of the AR. Starting from the same data, the use of different acquisition and tractography parameters lead to very different AR reconstructions. Optimal results in terms of topographical accuracy and correspondence to the reference were obtained for probabilistic tractography, high b-values and default tractography parameters: these parameters were used to build an AR probabilistic tractography atlas. A significant left-hemispheric lateralization was found in the AR reconstruction of the 34 subjects.
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ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-019-40666-8