Daniel Cromb1, Siân J Wilson1, Alexandra Bonthrone1, Andrew Chew1, Christopher Kelly1, Manu Kumar2, Paul Cawley1, Ralica Dimitrova1, Kuberan Pushparajah3, John Simpson3, Mary Rutherford1, David Edwards1, Joseph V Hajnal1, Jonathan O'Muircheartaigh1, and Serena J Counsell1
1Centre for the Developing Brain, King's College London, London, United Kingdom, 2GKT Medical School, King's College London, London, United Kingdom, 3Department of Cardiovascular Imaging, School of Biomedical Engineering & Imaging Science, King's College London, London, United Kingdom
Synopsis
Keywords: Neuro, Pediatric, Cortex
Motivation: Congenital heart disease (CHD) is common and associated with impaired early brain development.
Goal(s): To assess whether preoperative cortical Gyrification Index (GI) in infants with CHD deviates from the normal trajectory.
Approach: GI trajectories were normatively-modelled using reference control MRI data from 320 healthy infants, enabling calculation of GI Z-scores for the whole brain and frontal, occipital, parietal, temporal, cingulate and insular cortices for 130 infants with CHD, after accounting for sex, postmenstrual age at scan and days since birth at scan.
Results: Mean GI Z-scores were significantly lower for the whole brain and all cortical regions in infants with CHD (All PFDR<0.018)
Impact: Global and regional brain gyrification is reduced in infants with
critical or severe CHD in the neonatal period, prior to cardiac surgery, and
these individualised measures of cortical folding are significantly associated
with cerebral oxygen delivery in the neonatal period.
Introduction
Congenital heart disease (CHD) is common and is associated
with impaired early brain development and adverse neurodevelopmental outcomes.
Previous neuroimaging studies have identified altered cortical development and
reduced cerebral oxygen delivery (CDO2) in infants with
CHD1,2. However, these studies were limited by small cohorts and used traditional case-control comparison
approaches. Normative modelling involves mapping individual datapoints
from a reference distribution, derived from a control cohort, allowing the
characterization and assessment of deviations from this typically developing population in
individual subjects.
This study
aimed to test the hypothesis that gyrification index (GI) in infants with CHD deviates from the
normal trajectory, by calculating cortical GI Z-scores in
individuals with CHD and quantifying how much each individual GI measurement
deviates from the control population mean; and explore how GI Z-scores
related to CDO2 in infants with CHD.Methods
Infants with CHD were prospectively recruited between 2015
and 2022 as part of the Congenital Heart Disease Imaging Programme at
St. Thomas' Hospital, London. Each infant was allocated to one of three
diagnostic categories based on the hemodynamic impact of the underlying cardiac
diagnosis, using the sequential segmental approach: (1) abnormal streaming of
blood; (2) left-sided heart lesions; or (3) right-sided heart lesions. Control
infants were scanned as part of the developing human connectome project (dHCP).
Informed, written consent was acquired prior to MRI (Ethical approval CHD:07/H0707/105&21/WA/0075; dHCP:14/LO/1169). Imaging was performed on a
Philips 3T MRI scanner.
Structural (T2-weighted) multi-slice turbo spin-echo scans
were acquired in two stacks (axial and sagittal planes) (TR/TE=12,000/156ms;
flip-angle=90°; slice thickness=1.6mm; slice overlap=0.8mm; in-plane
resolution=0.8×0.8mm; SENSE factor=2.11/2.58 [axial/sagittal]). These stacks
were reconstructed using a dedicated algorithm to correct motion and integrate
data from both acquired stacks (reconstructed voxel size=0.5mm3)3,4. Structural data were processed with the dHCP pipeline5 and cortical surfaces were
used to derive mean GI values for the whole brain and frontal, occipital,
parietal, temporal, cingulate and insular cortices6,7 (Figure 1).
Typical brain GI trajectories were normatively-modelled, after accounting for sex, postmenstrual age at scan and days since birth at
scan, using reference control MRI data acquired for the dHCP8. This enabled calculation of
GI Z-scores for the whole brain and for all cortical regions for each infant with
CHD, quantifying the degree of atypicality for cortical
gyrification.
Quantitative flow imaging was performed using velocity-sensitised phase
contrast imaging, with a single-slice T1-weighted fast-field-echo sequence
(Field of view=100×100mm2;
resolution=0.6×0.6×4.0mm2;
TR/TE=6.4/4.3ms; flip angle=10°;20 repetitions; maximal encoding
velocity=140cm/s; scan time=71s. Cerebral blood flow (CBF) was calculated by
summing phase-contrast derived flows through the left and right internal
carotid and basilar arteries. Haemoglobin (Hb) levels were measured as part of
routine clinical care in CHD participants. Pre-ductal arterial oxygen
saturation (SaO2) was measured during the scan. CDO2 was
calculated using: CDO2 = SaO2 x [Hb] x 1.36 x [CBF]
A T-test was used to compare GI Z-scores between infants
with CHD and control infants. Pearson's correlation coefficient was calculated
to determine the relationship between brain GI z-scores and CDO2.
Benjamini & Hochberg False Discovery Rate (PFDR) was applied to correct for
multiple comparisons. PFDR
values<0.05 were considered significant.Results
Cortical GI measurements were obtained for 130 infants with CHD
[59 male; median age at birth=38.43 (37.57-38.86) weeks, median age at scan=
39.00 (38.43-39.71) weeks] and 320 healthy infants [158 male; median age at
birth=40.29 (39.29-41.00) weeks; median age at scan=41.50 (40.43-43.00) weeks].
Mean GI Z-scores were significantly lower for the whole brain and all cortical
regions in infants with CHD (All PFDR<0.018) (Figure 2, Figure 3). Cerebral blood
flow data were obtained in 111 infants with CHD. CDO2 [mean
(±SD)=1640 (±1436-2043) ml O2/min)] was significantly positively
correlated with brain GI Z-score (R2=0.06, p=0.008), after
accounting for infant sex, postmenstrual age at scan and days since
birth at scan
(Figure
4).Conclusion
Global and regional brain gyrification is reduced
in infants with CHD in the neonatal period before cardiac surgery, with the
temporal lobe and the insular showing the greatest reduction compared to
healthy infants. On average, whole brain GIs are half a standard deviation
lower than would be expected when compared to typical development.
Individualised
measures of cortical folding are significantly associated with cerebral oxygen
delivery in the early neonatal period. To our knowledge, this is the first use
of a normative modelling approach to assess cortical gyrification indices in
individual infants with CHD. Strategies to improve cerebral oxygen delivery may
help correct the altered trajectory of impaired brain development found in this
population. Further studies with longitudinal analysis are required to
determine whether preoperative neuroimaging findings relate to
neurodevelopmental outcomes in later childhood and beyond.Acknowledgements
We thank the families who participated in this study. We also
thank our research radiologists, our research radiographers, and our neonatal
scanning team at the Centre for the Developing Brain at King's College London.
In addition, we thank the staff from the St Thomas’ Hospital Neonatal Intensive
Care Unit; the Evelina London Children’s Hospital Fetal and Paediatric
Cardiology Departments and the Evelina London Paediatric Intensive Care Unit. This
research was funded by the Medical Research Council UK (MR/ L011530/1;
MR/V002465/1), the British Heart Foundation (FS/15/ 55/31649) and Action
Medical Research (GN2630). The normative sample was collected as part of the
Developing Human Connectome Project, funded by the European Research Council
under the European Union’s Seventh Framework Program (FP7/20072013)/European
Research Council grant agreement no. 319456. This research was also supported
by the Wellcome Engineering and Physical Sciences Research Council Centre for
Medical Engineering at King’s College London (WT 203148/Z/16/Z), Medical
Research Council UK strategic grant (MR/K006355/1), Medical Research Council UK
Centre grant (MR/N026063/1) and by the National Institute for Health Research
(NIHR) Biomedical Research Centre based at Guy’s and St Thomas’ NHS Foundation
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