Xiang Gao1, Farida Grinberg1,2, Ezequiel Farrher1, Fei Li1, Eileen Oberwelland3,4, Irene Neuner1,5,6, Kerstin Konrad4,6,7, and N.Jon. Shah1,2,6
1Institute of Neuroscience and Medicine - 4, Forschungszentrum Juelich GmbH, Juelich, Germany, 2Department of Neurology, Faculty of Medicine, RWTH Aachen University, Aachen, Germany, 3Translational Brain Research in Psychiatry and Neurology, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, RWTH Aachen University, Aachen, Germany, 4Institute of Neuroscience and Medicine - 3, Forschungszentrum Juelich GmbH, Juelich, Germany, 5Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany, 6JARA - BRAIN, Translational Medicine, Juelich, Germany, 7Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, RWTH Aachen University, Aachen, Germany
Synopsis
We
compare changes in the white matter asymmetry index in conventional
fractional anisotropy (FA) and other diffusion kurtosis imaging (DKI)
metrics in adults and children. For some fibres, such as cingulate
gyrus, hippocampus and superior longitudinal fasciculus, other DKI
parameters show significant asymmetry where FA fails. When compared
to adults, children showed more laterality in cingulate gyrus,
superior longitudinal fasciculus and superior longitudinal fasciculus
in temporal parts, which indicate that the
degree of asymmetry in these fibres is higher during childhood.Target
audience
Neuroscientists
interested in the study
of
white matter brain asymmetry.
Purpose
The
brain hemispheres of the healthy human are asymmetric in terms of
function and structure
1.
During normal development, the degree of asymmetry varies for the
different brain areas as found, in particular, by diffusion tensor
imaging (DTI)
2.
Thus far, to explore the brain microstructural asymmetry, researchers
have mainly focused on parameters such as fractional anisotropy (FA)
using conventional DTI. The aim of this study is to investigate what
complimentary information can be obtained regarding brain
microstructural asymmetry using diffusion kurtosis imaging (DKI)
3,
a more advanced extension of DTI that allows one to assess the level
of diffusional non Gaussianity. The work has been performed on a
group of adults and a group of children. Moreover, we investigated
the differences between these two groups in order to elucidate the
change of asymmetry during development.
Methods
Healthy,
right-handed adults (N=20) and children (N=21) underwent DKI in a 3T
MRI scanner (Siemens MAGNETOM Tim-Trio). A double-refocused
diffusion-weighted spin-echo EPI sequence was used with three
b-values
= 0, 1000 and 2800 s/mm
2
and 30 gradient directions. Nonlinear coregistration to the FA map
from the John Hopkins University (JHU)
4
was carried out using in-house Matlab scripts. Evaluation of the
following DKI scalar parameters was performed with the help of the
ExploreDTI toolkit
5:
FA, MD, axial (AD) and radial diffusivities (RD), kurtosis anisotropy
(KA), mean (MK), axial (AK) and radial kurtoses (RK). Average over
anatomical regions of the DKI metrics was performed using the JHU
atlas (18 regions-of-interest (ROI) - 9 left and 9 right, forceps
major and minor were excluded). The asymmetry index (AI) was
evaluated for all DKI parameters and all anatomies as AI =
2(L-R)/(L+R). We used a one-sample t-test to examine hemispheric
differences in each group and applied Bonferroni corrections for
multiple comparisons.
Then, in
order to assess the asymmetry during development, we compared the AI
in adults and children using a two-sample t-test for those anatomical
regions where both group showed significant laterality.
Results
Leftward
(L>R) FA asymmetry in Cg and rightward (R>L) FA asymmetry in
Ch, SLF, UF and SLF_temp were observed for both adults and children
groups. Besides, rightward FA asymmetry in CST was found for children
only. In Cg, Ch and SLF the AI of AK showed values around two times
higher than AI of FA for both groups. In ATR, IFOF and ILF, FA
asymmetry was non-significant but some other parameters showed
significant laterality. However, none of the anatomic regions
exhibited asymmetries of all studied metrics simultaneously. Cg, the
fibre bundle whose FA laterality is often reported in DTI studies
6,
showed significant asymmetry of 6 parameters studied (FA, RD, AK, MK,
KA, and RK), see Table 1. A between-group comparison (Fig.1) has
shown significantly higher leftward laterality in Cg (on MK, p<0.010
and RK, p<0.017) and SLF (on MD, p<0.027 and AD, p<0.007)
and rightward laterality in SLF_temp (on AD, p<0.016, MK, p<0.019
and RK, p<0.040).
Discussion
Generally,
reports on hemispheric asymmetries are not consistent across the
literature. Our results are generally in line with earlier DTI works
reporting rightward FA asymmetry
7
in CST and leftward FA asymmetry in Cg
1
in Children but no FA asymmetry in Cg observed in adults
8.
We discuss additional information provided by diffusional kurtosis
parameters in the context of a) microstructural features underlying
asymmetry (such as those, leading to enhanced AK, RK, and MK in the
left Cg) and b) subtle microstructural changes ongoing beyond late
childhood.
Conclusion
We
have shown that DKI parameters can provide more comprehensive
information on brain asymmetry. The degree of asymmetry for some
fibres was found to be much higher for children than for adults.
Abbreviations
ATR:
Anterior thalamic radiation; CST: Corticospinal tract; Cg: Cingulum
(cingulate gyrus); Ch: Cingulum (hippocampus); IFOF: Inferior
fronto-occipital fasciculus; ILF: Inferior longitudinal fasciculus;
SLF: Superior longitudinal fasciculus; UF: Uncinate fasciculus;
SLF_temp: Superior longitudinal fasciculus in temporal part.
Acknowledgements
We thank Dr. Ivan I. Maximov, Dr. Heike Thönneßen and Laura
Amort for their valuable contributions to acquisition and post-processing of DKI data in children and adults.
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