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Detection of the arcuate fasciculus in congenital amusia depends on the tractography algorithm

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Standard

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.

In: Frontiers in Psychology, Vol. 6, 2015, p. 9.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Harvard

Chen, JL, Kumar, S, Williamson, VJ, Scholz, J, Griffiths, TD & Stewart, L 2015, 'Detection of the arcuate fasciculus in congenital amusia depends on the tractography algorithm', Frontiers in Psychology, vol. 6, pp. 9. https://doi.org/10.3389/fpsyg.2015.00009

APA

Chen, J. L., Kumar, S., Williamson, V. J., Scholz, J., Griffiths, T. D., & Stewart, L. (2015). Detection of the arcuate fasciculus in congenital amusia depends on the tractography algorithm. Frontiers in Psychology, 6, 9. https://doi.org/10.3389/fpsyg.2015.00009

CBE

Chen JL, Kumar S, Williamson VJ, Scholz J, Griffiths TD, Stewart L. 2015. Detection of the arcuate fasciculus in congenital amusia depends on the tractography algorithm. Frontiers in Psychology. 6:9. https://doi.org/10.3389/fpsyg.2015.00009

MLA

Vancouver

Chen JL, Kumar S, Williamson VJ, Scholz J, Griffiths TD, Stewart L. Detection of the arcuate fasciculus in congenital amusia depends on the tractography algorithm. Frontiers in Psychology. 2015;6:9. https://doi.org/10.3389/fpsyg.2015.00009

Author

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. In: Frontiers in Psychology. 2015 ; Vol. 6. pp. 9.

Bibtex

@article{e691f789556e45af99f0ec5a2f7f459f,
title = "Detection of the arcuate fasciculus in congenital amusia depends on the tractography algorithm",
abstract = "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.",
author = "Chen, {Joyce L} and Sukhbinder Kumar and Williamson, {Victoria J} and Jan Scholz and Griffiths, {Timothy D} and Lauren Stewart",
year = "2015",
doi = "10.3389/fpsyg.2015.00009",
language = "English",
volume = "6",
pages = "9",
journal = "Frontiers in Psychology",
issn = "1664-1078",
publisher = "Frontiers Media S.A",

}

RIS

TY - JOUR

T1 - Detection of the arcuate fasciculus in congenital amusia depends on the tractography algorithm

AU - Chen, Joyce L

AU - Kumar, Sukhbinder

AU - Williamson, Victoria J

AU - Scholz, Jan

AU - Griffiths, Timothy D

AU - Stewart, Lauren

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

U2 - 10.3389/fpsyg.2015.00009

DO - 10.3389/fpsyg.2015.00009

M3 - Journal article

C2 - 25653637

VL - 6

SP - 9

JO - Frontiers in Psychology

JF - Frontiers in Psychology

SN - 1664-1078

ER -