Synopsis
Preterm birth is a leading cause of cognitive
impairment in childhood and is associated with cerebral gray and white matter
abnormalities. Using the resting-state fMRI imaging analysis, we tested the
hypothesis that preterm birth might to some extent affect the thalamo-cortical
connections particularly in the thalamo-SM and thalamo-SA projections. Reduced
thalamo-SM and increased thalamo-SA connectivity were found in the preterm newborns,
and preterm with punctate white matter lesions (PWMLs) exhibited a more sever trend
in the thalamo-SA projection.Introduction
Preterm birth (gestation age, GA
< 37 weeks) now accounts for over 80% around the world, and an estimated
14.9 million babies were born prematurely
1. With the advances in neonatal intensive care, mortality has
decreased significantly but prevalence of cerebral palsy and cognitive impairments
in survivors increased
2. The third trimester of gestation is a critical development period
for the fetus, the brain undergoes a complex but higly programmed sequence of
maturation
3. Rapid development of neurons, synapses, axons, and myelin sheath
occure during this period, and a concomitant growth of thalamocortical axons
are burgeoning. Thalamic neurons are commonly affected in preterm infants particularly
in newoborns with white matter lesions
4. Both morphometric and DTI studies have identified diminished volume
of thalamus, altered white matter tracts and reduced fractional anisotropy (FA)
in the thalamocortical projections in premature infants or children
5, 6. However, the function thalamocortical connectivity in preterm
newborns remains unclear.
Purpose
The aim of this study is to
examine the development of the functional thalamocortical connectivity in the
preterm without visible lessions (preterm) and preterm with punctate white
matter lesions (PWMLs), and test the hypothesis that
the thalamocortical connectivity is altered in the preterm especially in preterm
with punctate white matter lesions (PWMLs).
Methods
PWMLs were defined as preterm brain with focal
white matter areas of increased signal intensity on T1 and decreased signal
intensity on T2 (< 5 mm). Both preterm infants without visible lesion (preterm)
and full-term infants (GA, 37 ~ 42weeks) have no overt abnormal signal in the
conventional MRI.
Functional images were acquired from a
T2*-weighted EPI sequence (TR/TE: 2000ms/30ms, FOV = 220×220mm2,
matrix size = 64×64, 33 slices, thickness 3.0 mm, resolution: 3.4×3.4×3.0 mm3).
After preprocessing (SPM8), the frame-wise
displacement (FD) was controlled to be < 0.5 mm in order to further reduce
the effect of motion. Volumes with FD > 0.5 mm were removed and subjects
with at least 151 continuous volumes were included in our analysis.
Six well recognized networks were selected in
a single group ICA framework using GIFT. Specifically, the auditory,
cerebellar, default mode network (DMN), salience (SA), sensorimotor (SM) and medial
visual network, and more detail descriptions referent to Fig 1. Spatial mean
network maps were threshold with Z > 1.5 (Fig 1). Thalamus mask was defined
based on the AAL template (197 voxels). Thalamus parcellation was carried out
using partial correlation between the mean time series of each network and that
of each voxel in the thalamus controlling for time series from other networks. Then,
thalamus cluster was labelled with the mean partial correlation showing the
greatest. Partial correlations between each defined thalamus cluster and the cortices
were reconstructed controlling for other thalamus clusters7. Considering
different postmenstrual age (PMA), we added PMA as covariate in the two sample T
test. We also attempted to examine the longitudinal thalamocortical connections
by further subdividing each group with a more narrow PMA range, specifically preterm
(<35 weeks, 35 ~ 36 weeks, 37 ~ 39 weeks), full-term (37 ~ 40 weeks, >40
weeks).
Results
and Discussion
The result of thalamus parcellation was shown
in Fig 2. The right portion exhibited the histogram of voxel number in each network.
Relatively greater number of voxels located in the SM and cerebella in
full-term, while voxels in SA was larger in preterm newborns.
In the reconstruction map of thalamocortical
projections (Fig 3), the preterm and PWMLs exhibited limited thalamo-SM
connections, while the full-term topography showed more network-like profile, and
there seemed no difference between the preterm and PWMLs. Of note, the thalamo-SA
connectivity was significantly higher in the 2 preterm groups, and the PWMLs
showed a more severe and elevated trend. Not very significant thalamo-cerebellar
differences between groups were found. In the two sample T test adding the PMA
as covariate, thalamo-SM connections presented limited variance between preterm
and full-term groups, while thalamo-SA connections still demonstrated
significant differences (Fig 4).
In the longitudinal analysis (Fig 5), most
thalamocortical projection topography showed obvious development along time.
However, in PMA range between 37 and 39 weeks, both preterm groups showed
delayed development in the thalamo-SM connections than full-term newborns of corresponding
PMA range, and PWMLs manifested a more delayed development than the preterm. Intriguing,
the connection in thalamo-SA became gradual decreasing along time in PWMLs.
Conclusion
Preterm birth might affect the thalamocortical
connectivity development particularly in the thalamo-SM and thalamo-SA projections.
Reduced
thalamo-SM and increased thalamo-SA connectivity were found in the preterm newborns,
and preterm with punctate white matter lesions (PWMLs) exhibited a more sever trend
in the thalamo-SA projection.
Acknowledgements
This work is supported by the National Natural
Science Foundation of China under Grant Nos. 61431013, 81470816, 61131003,
81271549. The authors have stated that they had no interests which might be
perceived as posing a conflict or bias.References
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