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Detection of the arcuate fasciculus in congenital amusia depends on the tractography algorithm
The advent of diffusion magnetic resonance imaging (MRI) allows researchers to virtually dissect white matter fiber pathways in the brain in vivo. This, for example, allows us to characterize and quantify how fiber tracts differ across populations in health and disease, and change as a function of t...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4300860/ https://www.ncbi.nlm.nih.gov/pubmed/25653637 http://dx.doi.org/10.3389/fpsyg.2015.00009 |
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author | Chen, Joyce L. Kumar, Sukhbinder Williamson, Victoria J. Scholz, Jan Griffiths, Timothy D. Stewart, Lauren |
author_facet | Chen, Joyce L. Kumar, Sukhbinder Williamson, Victoria J. Scholz, Jan Griffiths, Timothy D. Stewart, Lauren |
author_sort | Chen, Joyce L. |
collection | PubMed |
description | The advent of diffusion magnetic resonance imaging (MRI) allows researchers to virtually dissect white matter fiber pathways in the brain in vivo. This, for example, allows us to characterize and quantify how fiber tracts differ across populations in health and disease, and change as a function of training. Based on diffusion MRI, prior literature reports the absence of the arcuate fasciculus (AF) in some control individuals and as well in those with congenital amusia. The complete absence of such a major anatomical tract is surprising given the subtle impairments that characterize amusia. Thus, we hypothesize that failure to detect the AF in this population may relate to the tracking algorithm used, and is not necessarily reflective of their phenotype. Diffusion data in control and amusic individuals were analyzed using three different tracking algorithms: deterministic and probabilistic, the latter either modeling two or one fiber populations. Across the three algorithms, we replicate prior findings of a left greater than right AF volume, but do not find group differences or an interaction. We detect the AF in all individuals using the probabilistic 2-fiber model, however, tracking failed in some control and amusic individuals when deterministic tractography was applied. These findings show that the ability to detect the AF in our sample is dependent on the type of tractography algorithm. This raises the question of whether failure to detect the AF in prior studies may be unrelated to the underlying anatomy or phenotype. |
format | Online Article Text |
id | pubmed-4300860 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-43008602015-02-04 Detection of the arcuate fasciculus in congenital amusia depends on the tractography algorithm Chen, Joyce L. Kumar, Sukhbinder Williamson, Victoria J. Scholz, Jan Griffiths, Timothy D. Stewart, Lauren Front Psychol Psychology The advent of diffusion magnetic resonance imaging (MRI) allows researchers to virtually dissect white matter fiber pathways in the brain in vivo. This, for example, allows us to characterize and quantify how fiber tracts differ across populations in health and disease, and change as a function of training. Based on diffusion MRI, prior literature reports the absence of the arcuate fasciculus (AF) in some control individuals and as well in those with congenital amusia. The complete absence of such a major anatomical tract is surprising given the subtle impairments that characterize amusia. Thus, we hypothesize that failure to detect the AF in this population may relate to the tracking algorithm used, and is not necessarily reflective of their phenotype. Diffusion data in control and amusic individuals were analyzed using three different tracking algorithms: deterministic and probabilistic, the latter either modeling two or one fiber populations. Across the three algorithms, we replicate prior findings of a left greater than right AF volume, but do not find group differences or an interaction. We detect the AF in all individuals using the probabilistic 2-fiber model, however, tracking failed in some control and amusic individuals when deterministic tractography was applied. These findings show that the ability to detect the AF in our sample is dependent on the type of tractography algorithm. This raises the question of whether failure to detect the AF in prior studies may be unrelated to the underlying anatomy or phenotype. Frontiers Media S.A. 2015-01-21 /pmc/articles/PMC4300860/ /pubmed/25653637 http://dx.doi.org/10.3389/fpsyg.2015.00009 Text en Copyright © 2015 Chen, Kumar, Williamson, Scholz, Griffiths and Stewart. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Chen, Joyce L. Kumar, Sukhbinder Williamson, Victoria J. Scholz, Jan Griffiths, Timothy D. Stewart, Lauren Detection of the arcuate fasciculus in congenital amusia depends on the tractography algorithm |
title | Detection of the arcuate fasciculus in congenital amusia depends on the tractography algorithm |
title_full | Detection of the arcuate fasciculus in congenital amusia depends on the tractography algorithm |
title_fullStr | Detection of the arcuate fasciculus in congenital amusia depends on the tractography algorithm |
title_full_unstemmed | Detection of the arcuate fasciculus in congenital amusia depends on the tractography algorithm |
title_short | Detection of the arcuate fasciculus in congenital amusia depends on the tractography algorithm |
title_sort | detection of the arcuate fasciculus in congenital amusia depends on the tractography algorithm |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4300860/ https://www.ncbi.nlm.nih.gov/pubmed/25653637 http://dx.doi.org/10.3389/fpsyg.2015.00009 |
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