Marjolein Verly1, Robin Gerrits1, Lieven Lagae2, Inge Zink1, Stefan Sunaert3, and Nathalie Rommel1
1Dept. Neurosciences, KU Leuven, Leuven, Belgium, 2Dept. Pediatrics, UZ Leuven, Leuven, Belgium, 3Dept. Translational MRI, KU Leuven, Leuven, Belgium
Synopsis
The main objective of this study was to investigate the relationship between the microstructural properties of
language-related white matter (WM) tracts and hand preference in typically
developing school-aged children. Our DTI tractography
results provide evidence for a different structural connectivity pattern of the
language connectome in left-handed children. Whereas right-handed children show a clear left-lateralized structural
language network, our group of left-handed children seems to have a more
bilateral organized language system. Those observed differences in WM
microstructure and lateralization might reflect an interaction between
handedness and the neural processing of language in children.Purpose
This study
investigates the relationship between the microstructural properties of
language-related white matter (WM) tracts and hand preference in typically
developing school-aged children. Specifically, two research questions are
formulated. First, is there a difference in WM integrity of the studied left-
and right-hemispheric WM tracts between left- and right-handed children?
Second, does handedness influence the lateralization pattern of the microstructural
properties of the studied WM tracts?
Methods
DTI imaging
was carried out in 36 right-handed (17 males; mean age = 11;09 years) and 29
left-handed (12 males; mean age = 11;06 years) typically developing children on
a 3T scanner (Philips, Best, The Netherlands), using a 32-channel head coil. To
assess structural connectivity, DTI data were acquired using a
spin-echo-echo-planar-imaging pulse sequence with 60 diffusion directions
(b=1300s/mm²) and with an isotropic resolution of 2mm. Pre- and post-processing
analyses were performed using ExploreDTI
1. Subsequently,
deterministic fiber tractography of the superior, inferior and middle
longitudinal fascicle (SLF, ILF & MdLF resp.), uncinate fascicle (UF) and extreme
capsule fiber system (ECFS) was performed in both hemispheres, using the robust
ROI definition protocols of Catani
2, Wakana
3 or Makris
4
on a whole brain fiber tractography data set. Next, the SLF was divided
into an anterior, longitudinal (arcuate fascicle) and posterior segment
2.
The white matter organization of each tract, measured by the mean fractional
anisotropy (FA), was compared between age-, gender- and IQ-matched left-handed
and right-handed children using dependent samples t-tests (N
pairs = 29). A
lateralization index (LI) was calculated for each tract by using the following
formula:
(FA
left hemisphere - FA
right hemisphere) / (FA
left hemisphere + FA
right hemisphere). A single t-test was carried out for both groups separately to detect
whether the LI differs significantly from zero, which indicates FA-asymmetry. Equivalent
non-parametric tests were used when one or more of the parametric test’s
assumptions were violated. The significance threshold was set at ɑ < 0.05
and the Benjamini-Hochberg procedure (FDR = 0.10) was applied to correct for
multiple comparisons.
Results
In all children, the SLF, ILF, MdLF, UF and ECFS could be reconstructed
in both hemispheres. In contrast, reconstruction of the left-hemispheric
longitudinal segment (AF) of the SLF, revealed no detectable left-hemispheric AF
in 17% (5/29) of the left-handed children. However, in all right-handed
children the left AF could be reconstructed. The left-hemispheric AF was
significantly more absent in left-handed children compared to right-handed
children (two-tailed Fisher’s exact test, p = 0.014). For the anterior and
posterior segments, no significant differences in the presence versus absence ratios
were observed between left- and right-handed children. Success rates are
presented in Table 1.
The only significant group difference in white matter structure
was found in the left anterior SLF-segment. Specifically, the mean FA was significantly
higher in the left-handed group compared to the right-handed group (Hedge’s g*
= 0.79, p = 0.006, Benjamini-Hochberg corrected).
Despite a large inter-subject
heterogeneity in the LI of FA, our results of the single t-test analyses suggested
a clear effect of handedness on LI (Table 2). In right-handed children, the
mean FA of all studied tracts (except the ECFS) and all SLF-segments differed significantly
from zero after applying the Benjamini-Hochberg correction. More precisely, the
mean FA of the anterior SLF-segment was lateralized to the right hemisphere, whereas
all other tracts had a significantly higher mean FA in the left hemisphere. In
contrast, in left-handed children, none of the studied WM tracts showed a clear left- or right-hemispheric lateralization.
Discussion
Our tractography results provide evidence for a different structural connectivity
pattern of the language connectome in left-handed children. Handedness seems to
have a major effect on the lateralization pattern of the language related white
matter tracts. Whereas right-handed children show a clear left-lateralized
structural language network, our group of left-handed children seems to have a
more bilateral organized language system. Those observed differences in WM
microstructure and lateralization might reflect an interaction between
handedness and the neural processing of language in children. However, further
structural and functional imaging studies are needed to disentangle the
mysteries of the left-handed brain and its relation to language processing.
Acknowledgements
We are deeply grateful to our healthy volunteers for their willingness to participate in this study.References
1) Leemans et al (2009), 17th Annual Meeting of
Proc. Intl Soc.Mag.Reson.Med., Hawaii, USA. 2) Catani, Jones DK & Ffytche DH. Perisylvian
Language Networks of the Human Brain. Ann. of Neurol. 2005; 57: 8-16.
3) Makris N, Preti MG, Asami T, et al. Human
middle longitudinal fascicle: variations in patterns of anatomical connections.
Brain Struct Funct. 2013; 218: 951-968.
4) Wakana S, Panzenboeck M, Fallon J, et al. Reproducibility of quantitative tractography methods applied to cerebral
white matter. Neuroimage. 2007; 36(3): 630-644.