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Original Contribution

White Matter Damage Relates to Oxygen Saturation in Children With Sickle Cell Anemia Without Silent Cerebral Infarcts

Jamie M. Kawadler, Fenella J. Kirkham, Jonathan D. Clayden, Matthew J. Hollocks, Emma L. Seymour, Rosanna Edey, Paul Telfer, Andrew Robins, Olu Wilkey, Simon Barker, Tim C.S. Cox, Chris A. Clark
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https://doi.org/10.1161/STROKEAHA.115.008721
Stroke. 2015;46:1793-1799
Originally published May 12, 2015
Jamie M. Kawadler
From the Developmental Imaging and Biophysics Section (J.M.K., J.D.C., C.A.C.), Clinical Neurosciences Section (F.J.K.), and Cognitive Neuroscience and Neuropsychiatry Section (E.L.S., R.E.), UCL Institute of Child Health, London, United Kingdom; Department of Clinical Neuroscience, University of Cambridge, Cambridge, United Kingdom (M.J.H.); Department of Paediatric Haematology, Barts and The London Hospital NHS Trust, London, United Kingdom (P.T.); Department of Paediatrics, Whittington Hospital NHS Trust, London, United Kingdom (A.R.); Department of Paediatrics, North Middlesex University Hospital NHS Trust, London, United Kingdom (O.W.); Wessex Neurological Centre (S.B.), and Department of Child Health (F.J.K.), Southampton University Hospitals NHS Trust, Southampton, United Kingdom (S.B.); and Department of Radiology, Great Ormond Street Hospital, London, United Kingdom (T.C.S.C.).
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Fenella J. Kirkham
From the Developmental Imaging and Biophysics Section (J.M.K., J.D.C., C.A.C.), Clinical Neurosciences Section (F.J.K.), and Cognitive Neuroscience and Neuropsychiatry Section (E.L.S., R.E.), UCL Institute of Child Health, London, United Kingdom; Department of Clinical Neuroscience, University of Cambridge, Cambridge, United Kingdom (M.J.H.); Department of Paediatric Haematology, Barts and The London Hospital NHS Trust, London, United Kingdom (P.T.); Department of Paediatrics, Whittington Hospital NHS Trust, London, United Kingdom (A.R.); Department of Paediatrics, North Middlesex University Hospital NHS Trust, London, United Kingdom (O.W.); Wessex Neurological Centre (S.B.), and Department of Child Health (F.J.K.), Southampton University Hospitals NHS Trust, Southampton, United Kingdom (S.B.); and Department of Radiology, Great Ormond Street Hospital, London, United Kingdom (T.C.S.C.).
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Jonathan D. Clayden
From the Developmental Imaging and Biophysics Section (J.M.K., J.D.C., C.A.C.), Clinical Neurosciences Section (F.J.K.), and Cognitive Neuroscience and Neuropsychiatry Section (E.L.S., R.E.), UCL Institute of Child Health, London, United Kingdom; Department of Clinical Neuroscience, University of Cambridge, Cambridge, United Kingdom (M.J.H.); Department of Paediatric Haematology, Barts and The London Hospital NHS Trust, London, United Kingdom (P.T.); Department of Paediatrics, Whittington Hospital NHS Trust, London, United Kingdom (A.R.); Department of Paediatrics, North Middlesex University Hospital NHS Trust, London, United Kingdom (O.W.); Wessex Neurological Centre (S.B.), and Department of Child Health (F.J.K.), Southampton University Hospitals NHS Trust, Southampton, United Kingdom (S.B.); and Department of Radiology, Great Ormond Street Hospital, London, United Kingdom (T.C.S.C.).
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Matthew J. Hollocks
From the Developmental Imaging and Biophysics Section (J.M.K., J.D.C., C.A.C.), Clinical Neurosciences Section (F.J.K.), and Cognitive Neuroscience and Neuropsychiatry Section (E.L.S., R.E.), UCL Institute of Child Health, London, United Kingdom; Department of Clinical Neuroscience, University of Cambridge, Cambridge, United Kingdom (M.J.H.); Department of Paediatric Haematology, Barts and The London Hospital NHS Trust, London, United Kingdom (P.T.); Department of Paediatrics, Whittington Hospital NHS Trust, London, United Kingdom (A.R.); Department of Paediatrics, North Middlesex University Hospital NHS Trust, London, United Kingdom (O.W.); Wessex Neurological Centre (S.B.), and Department of Child Health (F.J.K.), Southampton University Hospitals NHS Trust, Southampton, United Kingdom (S.B.); and Department of Radiology, Great Ormond Street Hospital, London, United Kingdom (T.C.S.C.).
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Emma L. Seymour
From the Developmental Imaging and Biophysics Section (J.M.K., J.D.C., C.A.C.), Clinical Neurosciences Section (F.J.K.), and Cognitive Neuroscience and Neuropsychiatry Section (E.L.S., R.E.), UCL Institute of Child Health, London, United Kingdom; Department of Clinical Neuroscience, University of Cambridge, Cambridge, United Kingdom (M.J.H.); Department of Paediatric Haematology, Barts and The London Hospital NHS Trust, London, United Kingdom (P.T.); Department of Paediatrics, Whittington Hospital NHS Trust, London, United Kingdom (A.R.); Department of Paediatrics, North Middlesex University Hospital NHS Trust, London, United Kingdom (O.W.); Wessex Neurological Centre (S.B.), and Department of Child Health (F.J.K.), Southampton University Hospitals NHS Trust, Southampton, United Kingdom (S.B.); and Department of Radiology, Great Ormond Street Hospital, London, United Kingdom (T.C.S.C.).
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Rosanna Edey
From the Developmental Imaging and Biophysics Section (J.M.K., J.D.C., C.A.C.), Clinical Neurosciences Section (F.J.K.), and Cognitive Neuroscience and Neuropsychiatry Section (E.L.S., R.E.), UCL Institute of Child Health, London, United Kingdom; Department of Clinical Neuroscience, University of Cambridge, Cambridge, United Kingdom (M.J.H.); Department of Paediatric Haematology, Barts and The London Hospital NHS Trust, London, United Kingdom (P.T.); Department of Paediatrics, Whittington Hospital NHS Trust, London, United Kingdom (A.R.); Department of Paediatrics, North Middlesex University Hospital NHS Trust, London, United Kingdom (O.W.); Wessex Neurological Centre (S.B.), and Department of Child Health (F.J.K.), Southampton University Hospitals NHS Trust, Southampton, United Kingdom (S.B.); and Department of Radiology, Great Ormond Street Hospital, London, United Kingdom (T.C.S.C.).
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Paul Telfer
From the Developmental Imaging and Biophysics Section (J.M.K., J.D.C., C.A.C.), Clinical Neurosciences Section (F.J.K.), and Cognitive Neuroscience and Neuropsychiatry Section (E.L.S., R.E.), UCL Institute of Child Health, London, United Kingdom; Department of Clinical Neuroscience, University of Cambridge, Cambridge, United Kingdom (M.J.H.); Department of Paediatric Haematology, Barts and The London Hospital NHS Trust, London, United Kingdom (P.T.); Department of Paediatrics, Whittington Hospital NHS Trust, London, United Kingdom (A.R.); Department of Paediatrics, North Middlesex University Hospital NHS Trust, London, United Kingdom (O.W.); Wessex Neurological Centre (S.B.), and Department of Child Health (F.J.K.), Southampton University Hospitals NHS Trust, Southampton, United Kingdom (S.B.); and Department of Radiology, Great Ormond Street Hospital, London, United Kingdom (T.C.S.C.).
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Andrew Robins
From the Developmental Imaging and Biophysics Section (J.M.K., J.D.C., C.A.C.), Clinical Neurosciences Section (F.J.K.), and Cognitive Neuroscience and Neuropsychiatry Section (E.L.S., R.E.), UCL Institute of Child Health, London, United Kingdom; Department of Clinical Neuroscience, University of Cambridge, Cambridge, United Kingdom (M.J.H.); Department of Paediatric Haematology, Barts and The London Hospital NHS Trust, London, United Kingdom (P.T.); Department of Paediatrics, Whittington Hospital NHS Trust, London, United Kingdom (A.R.); Department of Paediatrics, North Middlesex University Hospital NHS Trust, London, United Kingdom (O.W.); Wessex Neurological Centre (S.B.), and Department of Child Health (F.J.K.), Southampton University Hospitals NHS Trust, Southampton, United Kingdom (S.B.); and Department of Radiology, Great Ormond Street Hospital, London, United Kingdom (T.C.S.C.).
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Olu Wilkey
From the Developmental Imaging and Biophysics Section (J.M.K., J.D.C., C.A.C.), Clinical Neurosciences Section (F.J.K.), and Cognitive Neuroscience and Neuropsychiatry Section (E.L.S., R.E.), UCL Institute of Child Health, London, United Kingdom; Department of Clinical Neuroscience, University of Cambridge, Cambridge, United Kingdom (M.J.H.); Department of Paediatric Haematology, Barts and The London Hospital NHS Trust, London, United Kingdom (P.T.); Department of Paediatrics, Whittington Hospital NHS Trust, London, United Kingdom (A.R.); Department of Paediatrics, North Middlesex University Hospital NHS Trust, London, United Kingdom (O.W.); Wessex Neurological Centre (S.B.), and Department of Child Health (F.J.K.), Southampton University Hospitals NHS Trust, Southampton, United Kingdom (S.B.); and Department of Radiology, Great Ormond Street Hospital, London, United Kingdom (T.C.S.C.).
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Simon Barker
From the Developmental Imaging and Biophysics Section (J.M.K., J.D.C., C.A.C.), Clinical Neurosciences Section (F.J.K.), and Cognitive Neuroscience and Neuropsychiatry Section (E.L.S., R.E.), UCL Institute of Child Health, London, United Kingdom; Department of Clinical Neuroscience, University of Cambridge, Cambridge, United Kingdom (M.J.H.); Department of Paediatric Haematology, Barts and The London Hospital NHS Trust, London, United Kingdom (P.T.); Department of Paediatrics, Whittington Hospital NHS Trust, London, United Kingdom (A.R.); Department of Paediatrics, North Middlesex University Hospital NHS Trust, London, United Kingdom (O.W.); Wessex Neurological Centre (S.B.), and Department of Child Health (F.J.K.), Southampton University Hospitals NHS Trust, Southampton, United Kingdom (S.B.); and Department of Radiology, Great Ormond Street Hospital, London, United Kingdom (T.C.S.C.).
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Tim C.S. Cox
From the Developmental Imaging and Biophysics Section (J.M.K., J.D.C., C.A.C.), Clinical Neurosciences Section (F.J.K.), and Cognitive Neuroscience and Neuropsychiatry Section (E.L.S., R.E.), UCL Institute of Child Health, London, United Kingdom; Department of Clinical Neuroscience, University of Cambridge, Cambridge, United Kingdom (M.J.H.); Department of Paediatric Haematology, Barts and The London Hospital NHS Trust, London, United Kingdom (P.T.); Department of Paediatrics, Whittington Hospital NHS Trust, London, United Kingdom (A.R.); Department of Paediatrics, North Middlesex University Hospital NHS Trust, London, United Kingdom (O.W.); Wessex Neurological Centre (S.B.), and Department of Child Health (F.J.K.), Southampton University Hospitals NHS Trust, Southampton, United Kingdom (S.B.); and Department of Radiology, Great Ormond Street Hospital, London, United Kingdom (T.C.S.C.).
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Chris A. Clark
From the Developmental Imaging and Biophysics Section (J.M.K., J.D.C., C.A.C.), Clinical Neurosciences Section (F.J.K.), and Cognitive Neuroscience and Neuropsychiatry Section (E.L.S., R.E.), UCL Institute of Child Health, London, United Kingdom; Department of Clinical Neuroscience, University of Cambridge, Cambridge, United Kingdom (M.J.H.); Department of Paediatric Haematology, Barts and The London Hospital NHS Trust, London, United Kingdom (P.T.); Department of Paediatrics, Whittington Hospital NHS Trust, London, United Kingdom (A.R.); Department of Paediatrics, North Middlesex University Hospital NHS Trust, London, United Kingdom (O.W.); Wessex Neurological Centre (S.B.), and Department of Child Health (F.J.K.), Southampton University Hospitals NHS Trust, Southampton, United Kingdom (S.B.); and Department of Radiology, Great Ormond Street Hospital, London, United Kingdom (T.C.S.C.).
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Abstract

Background and Purpose—Sickle cell anemia is associated with compromised oxygen-carrying capability of hemoglobin and a high incidence of overt and silent stroke. However, in children with no evidence of cerebral infarction, there are changes in brain morphometry relative to healthy controls, which may be related to chronic anemia and oxygen desaturation.

Methods—A whole-brain tract-based spatial statistics analysis was carried out in 25 children with sickle cell anemia with no evidence of abnormality on T2-weighted magnetic resonance imaging (13 male, age range: 8–18 years) and 14 age- and race-matched controls (7 male, age range: 10–19 years) to determine the extent of white matter injury. The hypotheses that white matter damage is related to daytime peripheral oxygen saturation and steady-state hemoglobin were tested.

Results—Fractional anisotropy was found to be significantly lower in patients in the subcortical white matter (corticospinal tract and cerebellum), whereas mean diffusivity and radial diffusivity were higher in patients in widespread areas. There was a significant negative relationship between radial diffusivity and oxygen saturation (P<0.05) in the anterior corpus callosum and a trend-level negative relationship between radial diffusivity and hemoglobin (P<0.1) in the midbody of the corpus callosum.

Conclusions—These data show widespread white matter abnormalities in a sample of asymptomatic children with sickle cell anemia, and provides for the first time direct evidence of a relationship between brain microstructure and markers of disease severity (eg, peripheral oxygen saturation and steady-state hemoglobin). This study suggests that diffusion tensor imaging metrics may serve as a biomarker for future trials of reducing hypoxic exposure.

  • diffusion
  • pediatrics
  • sickle cell anemia

Introduction

Sickle cell anemia (SCA) is a genetic condition affecting the oxygen-carrying capability of hemoglobin. Cerebral injury is common, with well-documented incidence of overt stroke in 10% of children,1 silent cerebral infarction (SCI) in ≤35% of patients,2 and tissue atrophy.3 Ischemic insults can have devastating effects on cognitive abilities, including intelligence4 and executive functioning.5 Children with SCA with no evidence of infarction on conventional magnetic resonance imaging (MRI) still show reduction in intelligence quotient (IQ) compared with healthy age- and race-matched controls6,7; therefore, one can assume there may be abnormalities in the brain beyond the detection of conventional MRI methods and that the presence of discrete lesions alone may not describe total brain injury.

The mechanisms for white matter injury in SCA are unclear. Cerebral hemodynamics are often abnormal, increasing the risk of ischemia in the territories of stenosed large vessels and the borderzones between them.8,9 The risk of tissue injury is also increased by chronic anemia1 and low daytime and nocturnal oxygen saturation.10,11 Low oxygen saturation has been linked not only to lower IQ12 and poorer performance on executive function tasks13 in SCA but also has been reported in children with obstructive sleep apnea experiencing similar nocturnal oxygen desaturation.14 The disruption to breathing, and subsequent oxygen desaturation, has been shown to interfere with synaptic plasticity and consequently various cognitive functions.15 However, in children with SCA, there are no data on any direct link between brain structure, oxygen saturation, and hemoglobin.

Advanced neuroimaging techniques have shown structural differences between children with SCA and healthy controls. A voxel-based morphometry study showed decreased white matter density in the arterial borderzone distribution corresponding to disease severity,16 and smaller gray matter volume was found in children with no evidence of SCI but low IQ.17 There is evidence of cortical thinning in the frontal lobes18 and posterior medial surfaces of both hemispheres,19 and volumetric deficits of subcortical structures.20

In those patients with SCA without SCI, a complete picture of the extent of white matter injury is still unclear. Diffusion tensor imaging (DTI) provides information about white matter microstructure in normal-appearing white matter on conventional T2-weighted MRI. Fractional anisotropy (FA) represents directional dependence of water diffusion, reflecting coherence, and structural organization of underlying fibers. Other commonly used parameters from DTI are mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD). These parameters reflect the nature of water diffusion changes relating to when there is loss of structure, such as axonal damage or demyelination (ie, degeneration of microstructural cell barriers).

The technique known as tract-based spatial statistics (TBSS)21 is a whole-brain voxel-wise analysis that registers white matter, rather than the whole brain, between subjects resulting in improved registration, reduced partial volume effects, and no smoothing limitations. There are few diffusion data in SCA. TBSS was used22 to compare 2 groups of children with SCA, some of whom had mild gliosis although none had SCI. Increases in diffusivity and anisotropy reduction in the body of the corpus callosum (CC) were found only in patients with mild gliosis, whereas anisotropy reduction in the centrum semiovale was found in the no-SCI group; however, results were not significant at the 95% confidence level.

A recent study compared patients with SCA (age range: 11–45 years) and a matched control group.23 This study used various regions of interests across the brain, finding reduced FA in widespread areas. However, a significant proportion of the patient group (6 of 16 patients) had SCI present, a wide age range of patients was not controlled for, and there was no correction for multiple comparisons, potentially augmenting the results. Both studies did not include relationships between white matter and any physiological measures.

The objective of this study was to investigate differences in white matter structural integrity in children with SCA and controls. This study only compared those with SCA and no evidence of abnormalities on T2-weighted MRI to elucidate differences in only the normal-appearing white matter. We hypothesized first that there is structural damage, detectable by using a whole-brain voxel-wise white matter analysis, and second that the degree of damage is related to reduced daytime oxygen saturation and steady-state hemoglobin.

Materials and Methods

Participants

Children and adolescents with SCA aged 8 to 18 years from 3 London sites (Whittington Hospital, North Middlesex Hospital, and Royal London Hospital) were recruited alongside sibling and familial, age- and race-matched controls. Ethical permission was granted by Southampton Research Ethics Committee and fully informed assent/consent was obtained from each participant and his or her parent/guardian.

Physiological Measures

From the medical records, peripheral oxygen saturation measurements were collected within 3 years of the date of the MRI scan at regular clinic visits when the patient was generally well, including a measurement taken on the day of MRI during a 5-minute period from a pulse oximeter (Masimo Pronto-7 Pulse CO-Oximeter). Patients had between 3 and 9 measurements (median 4), and the average oxygen saturation was used in subsequent analyses. Steady-state hemoglobin was recorded from the closest available full blood count to MRI date from patient’s medical records.

Neuropsychological Variables

A measure of full-scale IQ was obtained using the Wechsler Abbreviated Scale of Intelligence (WASI; 2-subtest), reporting scaled scores (mean of 100, SD of 15). For measures of executive function, 5 tests were acquired from the Delis–Kaplan Executive Functioning System test battery: Tower test (Tower) which measures strategic planning and rule learning, Trailmaking Test Visual Scanning condition (Scanning) which measures visuomotor processing speed/attention, Trailmaking Test number-letter switching condition (switching) which measures cognitive flexibility (ie, multitasking/simultaneous processing), Verbal Fluency letter condition which measures systematic retrieval of lexical items, and color-word interference which measures verbal inhibition. For all Delis–Kaplan Executive Functioning System tests, scaled scores are reported (mean of 10 and SD of 3). The Behavior Rating Inventory of Executive Function (BRIEF)—parent form was obtained for children <16 years, yields a global executive composite that represents the child’s overall executive function behaviors. BRIEF-scaled scores are reported (mean of 50 and SD of 10), where higher scores represent more dysfunction. Demographics are reported in Table.

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Table.

Demographics

MRI Acquisition

MR data were acquired in all subjects on a 1.5T Siemens Magnetom Avanto (Siemens, Erlangen, Germany) with 40 mT/m gradients and a 32-channel receive headcoil. For lesion diagnosis, we acquired a T2-weighted turbo spin echo sequence (repetition time=4920 ms; echo time=101 ms, voxel size=0.7×0.6×4.0 mm). Two independent experienced neuroradiologists (S.B. and T.C.S.C.) read all subjects’ T2-weighted MRI blinded to disease status. The DTI protocol consisted of a diffusion-weighted echo planar imaging sequence (repetition time=7300 ms; echo time=81 ms; voxel size=2.5 mm isotropic) with 60 unique gradient directions (b=1000 s/mm2) and 3 interleaved b=0 images.

DTI Preprocessing

All scans were visually inspected for abnormalities because of motion, or other artifacts. The DTI data were preprocessed using TractoR version 2.324 and FMRIB Software Library version 5.0.21 Within each subject, a reference b=0 volume was brain extracted, and diffusion-weighted volumes were registered to this volume to correct for eddy current distortions. A diffusion tensor was derived at each voxel using a standard least-squares process to provide a voxel-wise calculation of FA, MD, AD and RD.

TBSS Whole-Brain Analysis

Voxel-wise statistical analysis of FA data was carried out using TBSS. Each subject’s FA image was aligned to every other one and the most representative image was identified as the target image, which was then affine-aligned to Montreal Neurological Institute standard space. All subjects’ FA data were transformed to standard space by combining nonlinear registration to the representative target FA image and affine transform to standard space. A mean FA skeleton (threshold at FA=0.2) was created by restricting to voxels with the highest FA at the center of the major white matter tracts. Each participant’s FA data were projected onto the mean skeleton to allow for voxel-wise cross-subject statistics. In a similar manner, MD, AD, and RD data were projected onto the skeleton, and these data were used for voxel-wise permutation-based analysis. Age and sex were included as covariates in the TBSS analyses, which included structural comparisons between patient and control groups, and correlations with oxygen saturation and hemoglobin in the patient group only. Results were corrected for multiple comparisons using threshold-free cluster enhancement.

Results

Forty-three patients with homozygous SCA (HbSS) and 18 controls, including 12 siblings, were initially scanned. Thirty-one patients with SCA had no abnormality on T2-weighted MRI, whereas 12 patients with SCA were excluded because of presence of SCI. Ten subjects (6 patients and 4 controls) were excluded because of poor quality DTI data (ie, dental brace artifact, head motion, and poor quality data). The final data set used for DTI analysis included 25 children and adolescents with SCA without SCI and 14 age- and race-matched controls. Figure 1 shows a graphical representation of excluded subjects and Table describes demographics of the final data set.

Figure 1.
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Figure 1.

Flow chart detailing the process of subject exclusion from analysis. DTI indicates diffusion tensor imaging; and SCI, silent cerebral infarction.

In the patient group, 2 children were undergoing regular transfusion treatment (abnormal transcranial Doppler ultrasound, top-up for painful crises), 2 additional children had transfusions within 3 months before scan, 3 children were on hydroxycarbamide treatment, and 17 children were receiving no treatment.

Physiological Measures

Oxygen saturation was available for all patients and 5 controls, and hemoglobin was available for all patients; patients had lower hemoglobin oxygen saturation and hemoglobin than published norms of healthy non-SCA children (Table).25

Neuropsychological Variables

There were no significant differences between the patient and control groups about age, sex, IQ, or any executive function measures (Table 1). Mean IQ and Delis–Kaplan Executive Functioning System scores (except switching) were lower in patients, and BRIEF scores were higher in patients, but these differences were not statistically significant (Figure 2).

Figure 2.
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Figure 2.

Results of neuropsychological testing. Patients scored lower on Wechsler Abbreviated Scale of Intelligence (WASI) full-scale intelligence quotient (IQ; left) and higher on Behavior Rating Inventory of Executive Function (BRIEF) global executive composite (second from left), but differences were not statistically significant. On the Delis–Kaplan Executive Functioning System (D-KEFS) measures, patients scored lower on all tests except switching; differences were not statistically significant.

In the control group, 8 had sickle cell trait (HbAS) and 6 had normal hemoglobin genotype (HbAA). Between HbAS and HbAA, there was no significant difference in mean IQ score (HbAS=109.6, HbAA=106.5, t=−0.480, P=0.640), mean scanning score (HbAS=9.8, HbAA=10.3, t=0.413, P=0.690), mean switching score (HbAS=7.9, HbAA=8.0, t=0.064, P=0.952), mean verbal fluency score (HbAS=10.75, HbAA=10.00, t=−0.464, P=0.651), and mean color-word interference score (HbAS=8.38, HbAA=9.33, t=0.563, P=0.584). Children with HbAS had significantly better Tower scores than HbAA (HbAS=11.1, HbAA=8.2, t=−3.605, P=0.004). Between 7 HbAS and 5 HbAA subjects, there were no differences in BRIEF global executive composite score (HbAS=48.71, HbAA=54.60, t=0.931, P=0.374).

Whole-Brain TBSS Comparison of Lesion Negative SCA and Controls

Results of the TBSS analysis comparing patients and controls are shown in Figure 3. After controlling for the effects of age and sex, FA was significantly lower in patients than in controls (P<0.05) in the cerebral peduncles and cerebellum. Widespread increases in MD were found. Across frontal and parietal lobes, genu of the CC, and subcortical structures and cerebellum, patients had significantly higher MD than controls (P<0.05). RD was significantly higher in patients than controls in the frontal and parietal lobes, and bilaterally in the internal capsule, anterior thalamic radiations, corticospinal tract and cerebellum (P<0.05). No significant structural differences were found between patients and controls for AD (Figure 3). There were no differences between controls with HbAA and those with HbAS. In exploratory regressions comparing FA and diffusivity measures with age, there were no obvious differences in correlations between patients with SCA and controls with age (data not shown).

Figure 3.
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Figure 3.

Whole-brain tract-based spatial statistics results. Top, Fractional anisotropy (FA)—purple voxels indicate areas in which patients with sickle cell anemia (SCA) had significantly lower FA than controls. Middle, Mean diffusivity (MD)—blue voxels indicate areas in which patients with SCA had significantly higher MD than controls. Bottom, Radial diffusivity (RD)—red voxels indicate areas in which patients with SCA had significantly higher RD than controls. All results were significant at P<0.05 (threshold-free cluster enhancement–corrected) and overlaid on the group white matter skeleton (green) and the study-specific mean FA template. The inhomogeneity of clusters (patchiness) of results in these maps is probably because of significance thresholding effects.

Whole-Brain TBSS Correlation With Oxygen Saturation and Hemoglobin

Results of the TBSS analysis testing correlations between DTI parameters and oxygen saturation and hemoglobin are shown in Figure 4. In the patient group, a significant negative correlation was found between RD and daytime oxygen saturation in a cluster in the genu of the CC (P<0.05). A trend-level negative correlation was found between RD and hemoglobin in the midbody and posterior parts of the CC (P<0.1; Figure 4).

Figure 4.
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Figure 4.

Tract-based spatial statistics correlations with daytime oxygen saturation and steady-state hemoglobin in patients only. Top, Blue voxels indicate areas in which radial diffusivity (RD) significantly negatively correlated with daytime peripheral oxygen saturation (P<0.05). Bottom, Red voxels indicate areas in which RD negatively correlated with hemoglobin (P<0.1). All results were threshold-free cluster enhancement–corrected and overlaid on the group white matter skeleton (green) and the study-specific mean fractional anisotropy template.

Discussion

This is the first diffusion MRI study in children with SCA with no evidence of MRI abnormalities to link brain microstructure with physiological markers of disease severity. Oxygen saturation was found to correlate significantly with RD in the anterior CC and a trend-level correlation between steady-state hemoglobin and RD in the midbody of the CC. This study also confirmed the presence of widespread white matter abnormalities. FA was found to be significantly lower in patients, mainly in cerebellar white matter, and MD and RD significantly higher in patients in widespread regions.

The sample of children with SCA with no SCI showed no differences compared with the control group in terms of IQ and 6 measures of executive function. We can conclude that differences in microstructural white matter were not because of underlying differences in cognitive ability in these domains.

This study is in line with findings of decreased white matter density,16 anisotropy reductions and increases in diffusivity in patients with SCA.22 This study, however, found more widespread and statistically significant differences between SCA patients with no SCI compared with controls in FA and diffusivity measures.

There were statistically significant differences in RD, but not AD. AD is thought to reflect structural coherence of axons, whereas RD is thought to reflect axon density and membrane permeability.26 Reduced myelination can be represented by elevated RD, without a change in AD.27 The observed diffusion parameter changes could be because of larger axon diameter, lower packing density, or increased membrane permeability,28 although in view of the pathology literature suggesting that SCA is associated with acute demyelination29 as well as ischemic stroke, we suggest that axonal loss and demyelination are more likely explanations.

Link With Oxygen Saturation and Hemoglobin

Acute silent cerebral ischemic events occur relatively frequently,30 particularly in relation to acute, severe anemia,31 and may or may not be visible later on clinical sequences. Our data confirm that oxygen desaturation also renders the brain at continual risk for hypoxic-ischemic injury.32 In diffusion data, high RD could be because of myelin loss and axonal damage, and is likely to be related to the cycle of hypoxia, endothelial inflammation, and tissue injury in children with SCA without SCI.

In this study, there was a significant negative correlation between oxygen saturation and RD in the anterior CC and a negative trend-level correlation between hemoglobin and RD in the midbody of the CC. Although oxygen saturation and hemoglobin are correlated,33 1 study found that only a small proportion of variance in steady-state oxygen desaturation was explained by chronic anemia.34 It is probable that oxygen desaturation has a more vital role than hemoglobin in white matter viability of frontal lobe white matter.

Neuropsychology

The results from this sample indicate no significant differences in IQ between children with SCA without SCI compared with controls, or that IQ of patients was outside the normal range, in contrast to previous reports.7,35 A meta-analysis6 of cognitive studies in SCA showed a small effect size in IQ measures, with patients ≈4 to 5 points lower than controls. Performance IQ, made up from perceptual organization and processing speed and not given by the 2-subtest WASI, has been associated with cerebral blood flow36 and basal ganglia volume18 and may also be associated with white matter integrity.

No information about socioeconomic status was available for these subjects, although 10 of 14 controls (71%) were siblings of patients, and all were of the same ethnic background. It is unlikely these factors are so different between patient and control groups to mediate a statistically significant effect on white matter microstructure.

White matter microstructure may be indicative of future cognitive difficulties in general measures such as academic achievement, as 1 study reported 27% of children with SCA without SCI experienced poor academic achievement compared with only 6% of healthy siblings.37 With this sample, future work is needed to investigate academic performance longitudinally to elucidate any mediating effects of oxygen desaturation and white matter microstructure.

Implications for Treatment

This study establishes a link between daytime oxygen saturation and white matter microstructural abnormality, which may be potentially ameliorated with interventions to reduce hypoxic exposure, most practically overnight.38 These DTI metrics may serve as biomarkers for future randomized controlled trials in SCA to investigate white matter microstructure before and after a period of overnight respiratory support.

Sources of Funding

J.M. Kawadler was funded by UCL Grand Challenges.

Disclosures

None.

  • Received January 8, 2015.
  • Revision received April 13, 2015.
  • Accepted April 14, 2015.
  • © 2015 American Heart Association, Inc.

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July 2015, Volume 46, Issue 7
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    White Matter Damage Relates to Oxygen Saturation in Children With Sickle Cell Anemia Without Silent Cerebral Infarcts
    Jamie M. Kawadler, Fenella J. Kirkham, Jonathan D. Clayden, Matthew J. Hollocks, Emma L. Seymour, Rosanna Edey, Paul Telfer, Andrew Robins, Olu Wilkey, Simon Barker, Tim C.S. Cox and Chris A. Clark
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    White Matter Damage Relates to Oxygen Saturation in Children With Sickle Cell Anemia Without Silent Cerebral Infarcts
    Jamie M. Kawadler, Fenella J. Kirkham, Jonathan D. Clayden, Matthew J. Hollocks, Emma L. Seymour, Rosanna Edey, Paul Telfer, Andrew Robins, Olu Wilkey, Simon Barker, Tim C.S. Cox and Chris A. Clark
    Stroke. 2015;46:1793-1799, originally published May 12, 2015
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