Ruth L O'Gorman1, Flavia Wehrle2, Tobias C Wood3, Andreas Buchmann4, Beatrice Latal4, Reto Huber4, Sean Deoni5, Gareth J Barker3, and Cornelia Hagmann2
1Center for MR Research, University Children's Hospital, Zurich, Switzerland, 2Neonatology, University Hospital, Zurich, Switzerland, 3Institute of Psychiatry, King's College London, London, United Kingdom, 4Developmental Pediatrics, University Children's Hospital, Zurich, Switzerland, 5University of Colorado, Denver, CO, United States
Synopsis
Very preterm infants are at an increased risk of
neurodevelopmental impairment later in life. This study investigates cerebral
microstructural differences in 31 very preterm children and adolescents relative
to their term-born peers, using quantitative MR relaxometry. The very preterm
group showed significantly increased T1 in the caudate and thalamus and
decreased T1 in insula and amygdala/hippocampus, but no significant differences
in caudate, thalamus, or total brain volume. These results highlight the
vulnerability of basal ganglia, thalamic and cortical structures to neonatal
brain injury and underscore the role that quantitative relaxometry may play in
evaluating microstructural changes associated with prematurity.Purpose
Very preterm infants are at an increased risk of cognitive, motor, and
behavioural impairments resulting from diffuse white matter injury and
accompanying axonal deficits involving the thalamus, basal ganglia, cerebral
cortex, brainstem and cerebellum
1. Neuroimaging studies have
demonstrated that poor functional outcome in very preterm infants is related to
reduced thalamic and basal ganglia volumes
2,3, which appear to
persist into childhood and adolescence
4. However, it is currently
not known whether these volumetric deficits are associated with microstructural
changes in tissue integrity. Quantitative relaxometry enables the assessment of
subtle changes in tissue integrity associated with alterations in the MR
relaxation times T1 and T2, and may provide greater sensitivity to
microstructural alterations than volumetric methods. The purpose of this study
was to investigate differences in cerebral microstructure in very preterm children and adolescents in comparison to
their term-born peers, using quantitative MR relaxometry.
Methods
Participant
Group: Very pre-term group: Thirty one
children and adolescents (mean age 12, range 10-16) born ≤ 32 weeks of gestation, with
no evidence of periventricular leukomalacia or haemorrhagic infarction on
neonatal ultrasound and no diagnosis of cerebral palsy or developmental delay
at the routine follow-up assessment between the ages of four and eight years.
Controls: thirty-one term-born children and adolescents, with no history of perinatal
complications, and
no evidence of any neurodevelopmental illness (e.g., ADHD). Control participants
were group matched to the very preterm participants with regard to sex and age.
MRI Acquisition: MRI scans were acquired with a
3T GE MR750 scanner using an 8 channel receive-only head coil. Quantitative MR
relaxometry was performed using the driven equilibrium single pulse observation
of T1 with high-speed incorporation of RF field inhomogeneities (DESPOT1-HIFI)
method.5 The acquisition comprised a series of 3D sagittal spoiled
gradient recalled echo (SPGR) images with a range of flip angles (3, 4, 5, 6,
7, 9, 13, and 18 degrees), with echo time (TE) = 2.38 ms, repetition time (TR)
= 5.8 ms, field of view = 220x 220 mm, matrix 256x256. A sagittal inversion-recovery prepared SPGR
image volume (IR-SPGR) was also acquired (TE = 2.38 ms, TR= 5.8 ms, inversion
time = 450 ms, flip angle= 5 degrees) to allow correction for B1
inhomogeneities.
MRI
Data Analysis: The SPGR and IR-SPGR data for
each participant were linearly co-registered to correct for intra-session
motion using the FSL linear registration tool FLIRT6, and skull stripped with the BET brain extraction tool7. A B1 map was calculated for
each participant using the DESPOT1-HIFI method5, and then smoothed
with a 6mm median filter using fslmaths.
Quantitative T1 maps were then calculated from the variable flip angle SPGR
images, correcting for B1 inhomogeneities with the smoothed B1 map5.
The total intracranial volume was calculated with freesurfer8.
T1
maps for each participant were normalized for voxelwise group analysis using
the registration methods implemented in the FSL TBSS pipeline9. Each T1 map was aligned to the most
representative T1 map in the cohort, and an age-appropriate template was then
derived from the average of the normalized T1 maps. Voxelwise statistical
analysis of the T1 data was performed with FSL randomize to test for
differences in T1 between very preterm and term-born participants, controlling
for age and gender. A statistical threshold of p<0.05 was applied after
family wise error (FWE) correction for multiple comparisons using threshold
free cluster enhancement (TFCE).
Results
Very preterm
children and adolescents did not differ from their term-born peers in mean age,
gender, or total brain volume. No difference was observed in the volume of the
thalamus or caudate between very preterm children and adolescents and their
term-born peers.
Very preterm children and adolescents showed
significantly increased T1 relaxation times in the caudate and thalamus and
decreased T1 relaxation times in insula cortex and amygdala/hippocampus
(p<0.05, FWE corrected, controlling for age and gender).
Discussion
Quantitative T1 relaxometry reveals microstructural alterations in the
caudate, thalamus, and insula in very preterm children and adolescents, even in
the absence of overt volumetric differences. These results highlight the
vulnerability of basal ganglia, thalamic and cortical structures to neonatal
brain injury, in keeping with the notion of an “encephalopathy of prematurity”
1.
Quantitative relaxometry may therefore play an important role in evaluating the
subtle microstructural changes associated with prematurity.
Acknowledgements
The authors would like to acknowledge Hadwig Speckbacher for assistance with the MRI measurements and all the children and adolescents who took part in the study. Funding for the study was provided by the University Research Priority Program (URPP) Integrative Human Physiology of the University of Zurich and the Anna Mueller Grocholski Stiftung.References
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