Xianjun Li1, Yuli Zhang1, Mengxuan Li1, Miaomiao Wang1, Congcong Liu1, Chao Jin1, Xiaocheng Wei1, and Jian Yang1
1Department of Radiology, the First Affiliated Hospital of Xi’an Jiaotong University, Xi'an, China
Synopsis
Human
brain exhibits structural and functional asymmetries. How the left-lateralization
in white matter changes with age from newborns through childhood is not fully
investigated. In this work, development of the left-lateralization from birth
to 13 years is revealed by using tract-based spatial statistics with dynamic age-specific
brain templates. Structural left-lateralization with larger fractional
anisotropy in motor-related and language-related white matter is already
present in newborns. The involvement of corticospinal tract, superior
longitudinal fasciculus and uncinate fasciculus into regions with left-lateralization
appears at different age. This may be associated with the development of fine
motor and language during the early childhood.
INTRODUCTION
Though
left and right hemispheres share similar anatomy, the human brain demonstrates structural
and functional asymmetries [1, 2]. Structural
left-lateralization may be the basis for specific functions, such as the language
lateralization and the right handedness [3, 4]. Characterization
of the left-lateralization and its development are essential for understanding how
the asymmetry arises and abnormal patterns of brain asymmetries in dyslexia,
autism, etc [4, 5]. However,
how the left-lateralization in white matter microstructure changes with age
from newborns through childhood is not fully investigated.
In
this work, fractional anisotropy (FA) derived from diffusion kurtosis imaging
(DKI) is used to characterize the white matter microstructural integrity. Development
of the left-lateralization in children with age from 0 (newborns) to 13 years
is revealed by using tract-based spatial statistics (TBSS) with dynamic age-specific
brain templates.METHODS
This
study is approved by the local institutional review board. Informed written
consents were obtained from parents of children.
Term
children (gestational age ≥ 37 weeks) with age from 0
to 13 years were included in this work. Children with history of asphyxia,
hypoxic ischemic encephalopathy, central nervous system infection, epilepsy,
developmental delay and/or other diseases that may affect brain development
were excluded.
DKI
was performed on a 3T MRI scanner (Signa HDxt; GE Healthcare; Milwaukee,
Wisconsin, USA) with an 8-channel head coil.
The single shot echo planar imaging sequence for DKI was performed by
using the following parameters: b values=0, 500, 1000, 2000, 2500 s/mm2;
18 gradient directions; Repetition time/Echo time =11000/91.7 ms; voxel size=
1.41 × 1.41 × 4 mm3.
DKI post-processing was performed by using an optimized
workflow [6],
including the eddy current correction, the artifact rejection, the tensor
estimation, and the computation of the derived metrics. To normalize the FA
images, age-specific brain templates were created for each age group by using a
group-wise template creation method [7] (as shown
in Figure 1). In this work, the enrolled children were divided into 7
groups: ≤28 days, 28
days-6 months, 6-12 months, 1-2 years, 2-3 years, 3-6 years, 6-13 years.
For
each age group, comparisons between left and right hemispheres were performed
by using TBSS [8]. To test skeleton
voxels on the left hemispheres versus those on the right, symmetric FA skeleton
maps were created for each group. All the individual FA images were projected
onto the corresponding symmetric FA skeleton. Then all the images were
left-right flipped to generate the flipped images. Comparison between left and
right hemispheres can be performed by subtracting the flipped images from the original
FA images. Tests in TBSS are considered significant at P<0.05 after the family-wise error rate correction and the
threshold-free cluster enhancement.RESULTS
This
study enrolls 51 children with age of ≤28 days (35
males), 37 children with age of 28 days-6 months (25 males), 32 children with
age of 6-12 months (21 males), 43 children with age of 1-2 years (29 males), 29
children with age of 2-3 years (19 males), 48 children with age of 3-6 years (27
males), and 113 children with age of 6-13 years (78 males).
Regions
with left-lateralization vary across different age groups (as shown in Figure
2). On newborns, left-lateralization with larger FA can be found on the
corticospinal tract (CST) in the cerebral peduncle and the posterior limb of
the internal capsule segments. Meanwhile, larger FA is observed on the inferior
longitudinal fasciculus (ILF) and/or inferior fronto-occipital fasciculus
(IFOF). On children older than 28 days, regions with left-lateralization
involve the CST in the centrum semiovale segment. On the children older than 6
months, regions with left-lateralization involve more areas of the parieto-temporal
superior longitudinal fasciculus (SLF). On children older than 2 years, fronto-parietal
SLF and uncinate fasciculus (UF) are involved. Note that larger FA in the left
frontal IFOF can also be found on children older than 3 years.DISCUSSION
In
the researches on correlation between structural and functional asymmetry, motor
and language related white matter tracts have been focused [1, 3]. Even on
the preterm neonates, microstructural asymmetries have been found in the
parieto-temporal SLF and the CST at the cerebral peduncle segment [3]. Similar
to this finding, brains of the term newborns exhibit left- lateralization in
this current work. These support the hypothesis that prenatal but non-genetic developmental
factors determine the structural and functional laterality [9]. Furthermore,
results here also demonstrate that the left-lateralization varies with age. Involvement
of the centrum semiovale segment of CST in the left-lateralization may be
related to development of the fine motor ability in the early childhood. From 2
years on, more areas in the left fronto-parietal SLF and UF demonstrate larger
FA than the right hemisphere. This suggests that the age of 2 years is an
important milestone age for children to learn language [10].CONCLUDION
Results
in this study suggest that structural left-lateralization in motor-related and language-related
white matter is already present in newborns. The spatial distribution of white
matter tracts with left-lateralization varies with age during the early
childhood.Acknowledgements
This
study was supported by the National Natural Science Foundation of China
(81901823, 81771810, and 81971581), National Key Research and Development
Program of China (2016YFC0100300), the 2011 New Century Excellent Talent
Support Plan of the Ministry of Education of China (NCET-11-0438), the Project Funded
by China Postdoctoral Science Foundation (2019M653659), and the Natural Science
Basic Research Plan in Shaanxi Province of China (2019JQ-198).References
[1] Boukadi M, Marcotte K, Bedetti C, Houde JC, Desautels A, Deslauriers-Gauthier S, et al. Test-retest reliability of diffusion measures extracted along white matter language fiber bundles using HARDI-based tractography. Frontiers in Neuroscience 2019;12:1055.
[2] Dehaene-Lambertz G, Dehaene S, Hertz-Pannier L. Functional neuroimaging of speech perception in infants. Science 2002;298(5600):2013-2015.
[3] Liu Y, Baleriaux D, Kavec M, Metens T, Absil J, Denolin V, et al. Structural asymmetries in motor and language networks in a population of healthy preterm neonates at term equivalent age: a diffusion tensor imaging and probabilistic tractography study. NeuroImage 2010;51(2):783-788.
[4] Lee CY, Tabesh A, Nesland T, Jensen JH, Helpern JA, Spampinato MV, et al. Human brain asymmetry in microstructural connectivity demonstrated by diffusional kurtosis imaging. Brain Research 2014;1588:73-80.
[5] Dubois J, Hertz-Pannier L, Cachia A, Mangin JF, Le Bihan D, Dehaene-Lambertz G. Structural asymmetries in the infant language and sensori-motor networks. Cerebral Cortex 2009;19(2):414-423.
[6] Li X, Yang J, Gao J, Luo X, Zhou Z, Hu Y, et al. A robust post-processing workflow for datasets with motion artifacts in diffusion kurtosis imaging. PLoS One 2014;9(4):e94592.
[7] Li X, Gao J, Wang M, Wan M, Yang J. Rapid and reliable tract-based spatial statistics pipeline for diffusion tensor imaging in the neonatal brain: applications to the white matter development and lesions. Magnetic Resonance Imaging 2016;34(9):1314-1321.
[8] Smith SM, Jenkinson M, Johansen-Berg H, Rueckert D, Nichols TE, Mackay CE, et al. Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. NeuroImage 2006;31(4):1487-1505.
[9] Steinmetz H. Structure, functional and cerebral asymmetry: in vivo morphometry of the planum temporale. Neuroscience and Biobehavioral Reviews 1996;20(4):587-591.
[10] Ferguson B, Graf E, Waxman SR. When veps cry: Two-year-olds efficiently learn novel words from linguistic contexts alone. Language Learning and Development 2018;14(1):1-12.