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

Authors :
Joyce L Chen
Sukhbinder eKumar
Victoria J Williamson
Jan eScholz
Timothy D Griffiths
Lauren eStewart
Source :
Frontiers in Psychology, Vol 6 (2015)
Publication Year :
2015
Publisher :
Frontiers Media S.A., 2015.

Abstract

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.

Details

Language :
English
ISSN :
16641078
Volume :
6
Database :
Directory of Open Access Journals
Journal :
Frontiers in Psychology
Publication Type :
Academic Journal
Accession number :
edsdoj.6587e2c8472437da27b89569a6d8f1a
Document Type :
article
Full Text :
https://doi.org/10.3389/fpsyg.2015.00009