Quantitative MR relaxometry reveals subcortical T1 differences in very preterm children and adolescents
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 cerebellum1. Neuroimaging studies have demonstrated that poor functional outcome in very preterm infants is related to reduced thalamic and basal ganglia volumes2,3, which appear to persist into childhood and adolescence4. 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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2. Abernethy et al. Caudate and Hippocampal Volumes, Intelligence, and Motor Impairment in 7-Year-Old Children Who Were Born Preterm. Pediatric Research 2004;55:884–893

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4. Kesler et al. Brain volume reductions within multiple cognitive systems in male preterm children at age twelve. J Pediatrics 2008;152(4):513–520

5. Deoni SC. High-resolution T1 mapping of the brain at 3T with driven equilibrium single pulse observation of T1 with high-speed incorporation of RF field inhomogeneities (DESPOT1-HIFI). J Magn Reson Imaging 2007;26(4):1106-11

6. Jenkinson M, et al. Improved optimization for the robust and accurate linear registration and motion correction of brain images. Neuroimage 2002;17(2):825-841

7. Smith SM. Fast Robust Automated Brain Extraction. Human Brain Mapping 2002;17(3) :143-155

8. Dale et al. Cortical surface-based analysis. I. Segmentation and surface reconstruction. Neuroimage 1999;9:179-94

9. Smith et al. Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. Neuroimage 2006;31:1487-1505

Figures

Voxelwise comparison of T1 relaxation times between preterm and term born children and adolescents. Areas showing significantly increased T1 in the preterm group are in depicted blue, while areas of decreased T1 relaxation times in preterms are depicted in yellow/red (p<0.05, FWE corrected).



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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