Detection of the arcuate fasciculus in congenital amusia depends on the tractography algorithm
The advent of diffusion magnetic resonance imaging allows researchers to virtually dissect white matter fibre pathways in the brain in vivo. This, for example, allows us to characterize and quantify how fibre tracts differ across populations in health and disease, and change as a function of trainin...
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doaj-a6587e2c8472437da27b89569a6d8f1a2020-11-24T22:30:28ZengFrontiers Media S.A.Frontiers in Psychology1664-10782015-01-01610.3389/fpsyg.2015.00009117633Detection of the arcuate fasciculus in congenital amusia depends on the tractography algorithmJoyce L Chen0Sukhbinder eKumar1Sukhbinder eKumar2Victoria J Williamson3Jan eScholz4Timothy D Griffiths5Timothy D Griffiths6Lauren eStewart7Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Sunnybrook Research InstituteUniversity of Newcastle upon TyneWellcome Trust Centre for NeuroimagingUniversity of SheffieldMouse Imaging Centre, The Hospital for Sick ChildrenUniversity of Newcastle upon TyneWellcome Trust Centre for NeuroimagingGoldsmiths, University of LondonThe advent of diffusion magnetic resonance imaging allows researchers to virtually dissect white matter fibre pathways in the brain in vivo. This, for example, allows us to characterize and quantify how fibre 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 fibre 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-fibre 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.http://journal.frontiersin.org/Journal/10.3389/fpsyg.2015.00009/fullDiffusion Magnetic Resonance ImagingtractographyArcuate FasciculusCongenital Amusiadeterministicprobabilisitic |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Joyce L Chen Sukhbinder eKumar Sukhbinder eKumar Victoria J Williamson Jan eScholz Timothy D Griffiths Timothy D Griffiths Lauren eStewart |
spellingShingle |
Joyce L Chen Sukhbinder eKumar Sukhbinder eKumar Victoria J Williamson Jan eScholz Timothy D Griffiths Timothy D Griffiths Lauren eStewart Detection of the arcuate fasciculus in congenital amusia depends on the tractography algorithm Frontiers in Psychology Diffusion Magnetic Resonance Imaging tractography Arcuate Fasciculus Congenital Amusia deterministic probabilisitic |
author_facet |
Joyce L Chen Sukhbinder eKumar Sukhbinder eKumar Victoria J Williamson Jan eScholz Timothy D Griffiths Timothy D Griffiths Lauren eStewart |
author_sort |
Joyce L Chen |
title |
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_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_sort |
detection of the arcuate fasciculus in congenital amusia depends on the tractography algorithm |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Psychology |
issn |
1664-1078 |
publishDate |
2015-01-01 |
description |
The advent of diffusion magnetic resonance imaging allows researchers to virtually dissect white matter fibre pathways in the brain in vivo. This, for example, allows us to characterize and quantify how fibre 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 fibre 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-fibre 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. |
topic |
Diffusion Magnetic Resonance Imaging tractography Arcuate Fasciculus Congenital Amusia deterministic probabilisitic |
url |
http://journal.frontiersin.org/Journal/10.3389/fpsyg.2015.00009/full |
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