Karina J. Kersbergen

The Neonatal Connectome During Preterm Brain Development

The human connectome is the result of an elaborate developmental trajectory. Acquiring diffusion-weighted imaging and resting-state fMRI, we studied connectome formation during the preterm phase of macroscopic connectome genesis. In total, 27 neonates were scanned at week 30 and/or week 40 gestational age (GA). Examining the architecture of the neonatal anatomical brain network revealed a clear presence of a small-world modular organization before term birth. Analysis of neonatal functional connectivity (FC) showed the early formation of resting-state networks, suggesting that functional networks are present in the preterm brain, albeit being in an immature state. Moreover, structural and FC patterns of the neonatal brain network showed strong overlap with connectome architecture of the adult brain (85 and 81%, respectively). Analysis of brain development between week 30 and week 40 GA revealed clear developmental effects in neonatal connectome architecture, including a significant increase in white matter microstructure (P < 0.01), small-world topology (P < 0.01) and interhemispheric FC (P < 0.01). Computational analysis further showed that developmental changes involved an increase in integration capacity of the connectivity network as a whole. Taken together, we conclude that hallmark organizational structures of the human connectome are present before term birth and subject to early development.

Neonatal Cerebral Sinovenous Thrombosis From Symptom to Outcome

Background and Purpose— Cerebral sinovenous thrombosis is a rare disease with severe neurological sequelae. The aim of this retrospective multicenter study was to investigate the clinical course, possible risk factors, and outcome of a cohort of neonatal patients with sinovenous thrombosis and, second, to estimate the incidence in The Netherlands. Methods— From January 1999 to March 2009, a review of all neonatal patients with sinovenous thrombosis from 6 tertiary neonatal intensive care units was performed. Population characteristics, clinical presentation, (prothrombotic) risk factors, neuroimaging, interventions, and neurodevelopment were evaluated. An estimated incidence was calculated based on the Netherlands Perinatal Registry. Results— Fifty-two neonates were included (39 boys) with a median gestational age of 39 weeks (range, 30 to 42 weeks; 5 preterm). An assisted or complicated delivery occurred in 32 of 52. Presenting symptoms developed at a median postnatal age of 1.5 days (range, 0 to 28 days) and consisted mainly of seizures (29 of 52). All sinovenous thrombosis cases were confirmed with MRI/MR venography. Multisinus thrombosis was most common followed by superior sagittal sinus thrombosis. FII G20210A mutation was present in 2 of 18 tested neonates (11%). Anticoagulation therapy (in 22 of 52) did not result in hemorrhagic complications. At follow-up (median age, 19 months; range, 3 to 72 months), moderate to severe neurological sequelae were present in 38%. The mortality was 10 of 52 (19%). A variable, although high yearly incidence of 1.4 to 12 per 100 000 term newborns was found. Conclusions— Neonatal sinovenous thrombosis is a multifactorial disease. The estimated incidence in The Netherlands seems higher than reported elsewhere.

Brain tissue volumes in preterm infants: prematurity, perinatal risk factors and neurodevelopmental outcome: A systematic review

Objective: To evaluate the clinical value of neonatal brain tissue segmentation in preterm infants according to the literature. Methods: A structured literature search was undertaken in MEDLINE/Pubmed. This included all publications on volumetric brain tissue assessment in preterm infants at term-equivalent age (TEA) compared to brain tissue volumes of term-born infants, related to perinatal risk factors or related to neurodevelopmental outcome. Results: Sixteen prospective cohort studies, described in 30 articles, fulfilled the criteria. Preterm infants displayed total and regional brain tissue alterations compared to healthy, term-born controls. These alterations seemed more prominent with decreasing gestational age. White matter injury, intraventricular haemorrhage, postnatal corticosteroid therapy, intra-uterine growth retardation and chronic lung disease were frequently associated with volume changes. Associations between volume alterations at TEA and neurodevelopmental outcome in early childhood were shown in a few studies. Conclusions: Preterm birth is associated with brain tissue volume alterations that become more pronounced in the presence of perinatal risk factors and white matter injury. Moreover, associations between volumetric alterations as early as TEA and long-term neurodevelopmental impairments are scarce.

Anticoagulation Therapy and Imaging in Neonates With a Unilateral Thalamic Hemorrhage Due to Cerebral Sinovenous Thrombosis

Background and Purpose— Cerebral sinovenous thrombosis is a rare disorder with a high risk of an adverse neurodevelopmental outcome. Until now, anticoagulation therapy has been restricted to neonates without an associated parenchymal hemorrhage. In this study, we describe sequential neuroimaging findings and use of anticoagulation therapy in newborn infants with a unilateral thalamic hemorrhage due to cerebral sinovenous thrombosis. Methods— Ten neonates with a unilateral thalamic hemorrhage and cerebral sinovenous thrombosis were studied. Diagnosis was suspected using cranial ultrasound and confirmed with MRI/MR venography. Eight infants had a repeat MRI at 3 to 7 months. Neurodevelopmental outcome was assessed from 3 months until 5 years. Results— One infant died. Seven infants were treated with low-molecular-weight heparin. No side affects were noted. MRI showed involvement of multiple sinuses, additional intraventricular hemorrhage, and white matter lesions in all infants. Recanalization was present on the repeat MRI at 3 months in all infants. Treatment was delayed in one infant and anticoagulation was started only after extension of the thalamic hemorrhage. He required a ventriculoperitoneal drain for posthemorrhagic ventricular dilatation and developed cerebral visual impairment and global delay. Two other infants showed global delay and one of them also developed postneonatal epilepsy. Mild asymmetry in tone was present in 4 children. Conclusions— Cerebral sinovenous thrombosis was found in 10 neonates with unilateral thalamic hemorrhage. Diagnosis was suspected on cranial ultrasound and confirmed with MRI/MR venography. Treatment with low-molecular-weight heparin in newborn infants with a thalamic hemorrhage due to cerebral sinovenous thrombosis appears to be safe and should be considered. Long-term follow-up will be needed to assess cognitive outcome.

Evaluation of automatic neonatal brain segmentation algorithms:the NeoBrainS12 challenge

A number of algorithms for brain segmentation in preterm born infants have been published, but a reliable comparison of their performance is lacking. The NeoBrainS12 study (http://neobrains12.isi.uu.nl), providing three different image sets of preterm born infants, was set up to provide such a comparison. These sets are (i) axial scans acquired at 40 weeks corrected age, (ii) coronal scans acquired at 30 weeks corrected age and (iii) coronal scans acquired at 40 weeks corrected age. Each of these three sets consists of three T1- and T2-weighted MR images of the brain acquired with a 3T MRI scanner. The task was to segment cortical grey matter, non-myelinated and myelinated white matter, brainstem, basal ganglia and thalami, cerebellum, and cerebrospinal fluid in the ventricles and in the extracerebral space separately. Any team could upload the results and all segmentations were evaluated in the same way. This paper presents the results of eight participating teams. The results demonstrate that the participating methods were able to segment all tissue classes well, except myelinated white matter.

Automatic Segmentation of Eight Tissue Classes in Neonatal Brain MRI

Purpose Volumetric measurements of neonatal brain tissues may be used as a biomarker for later neurodevelopmental outcome. We propose an automatic method for probabilistic brain segmentation in neonatal MRIs. Materials and Methods In an IRB-approved study axial T1- and T2-weighted MR images were acquired at term-equivalent age for a preterm cohort of 108 neonates. A method for automatic probabilistic segmentation of the images into eight cerebral tissue classes was developed: cortical and central grey matter, unmyelinated and myelinated white matter, cerebrospinal fluid in the ventricles and in the extra cerebral space, brainstem and cerebellum. Segmentation is based on supervised pixel classification using intensity values and spatial positions of the image voxels. The method was trained and evaluated using leave-one-out experiments on seven images, for which an expert had set a reference standard manually. Subsequently, the method was applied to the remaining 101 scans, and the resulting segmentations were evaluated visually by three experts. Finally, volumes of the eight segmented tissue classes were determined for each patient. Results The Dice similarity coefficients of the segmented tissue classes, except myelinated white matter, ranged from 0.75 to 0.92. Myelinated white matter was difficult to segment and the achieved Dice coefficient was 0.47. Visual analysis of the results demonstrated accurate segmentations of the eight tissue classes. The probabilistic segmentation method produced volumes that compared favorably with the reference standard. Conclusion The proposed method provides accurate segmentation of neonatal brain MR images into all given tissue classes, except myelinated white matter. This is the one of the first methods that distinguishes cerebrospinal fluid in the ventricles from cerebrospinal fluid in the extracerebral space. This method might be helpful in predicting neurodevelopmental outcome and useful for evaluating neuroprotective clinical trials in neonates.

On development of functional brain connectivity in the young brain

Our brain is a complex network of structurally and functionally interconnected regions, shaped to efficiently process and integrate information. The development from a brain equipped with basic functionalities to an efficient network facilitating complex behavior starts during gestation and continues into adulthood. Resting-state functional MRI (rs-fMRI) enables the examination of developmental aspects of functional connectivity (FC) and functional brain networks. This review will discuss changes observed in the developing brain on the level of network FC from a gestational age of 20 weeks onwards. We discuss findings of resting-state fMRI studies showing that functional network development starts during gestation, creating a foundation for each of the resting-state networks (RSNs) to be established. Visual and sensorimotor areas are reported to develop first, with other networks, at different rates, increasing both in network connectivity and size over time. Reaching childhood, marked fine-tuning and specialization takes place in the regions necessary for higher-order cognitive functions.

Regional changes in brain perfusion during brain maturation measured non-invasively with Arterial Spin Labeling MRI in neonates.

PURPOSE The purpose of this study was to evaluate if non-invasive Arterial Spin Labeling MR imaging can be used to assess changes in brain perfusion with age which reflect neonatal brain development. For this purpose regional perfusion values obtained with ASL MR imaging were evaluated as a function of postmenstrual age. MATERIALS AND METHODS Pulsed ASL imaging was performed in 33 neonates with a postmenstrual age from 30 to 53 weeks. Whole brain cerebral blood flow (wbCBF), CBF in the basal ganglia and thalamus (BGT-CBF), in the occipital cortex (OC-CBF) and the frontal cortex (FC-CBF) were measured. Regional CBF values were expressed quantitatively (in ml/100 g min) and relative as a percentage of the wbCBF. RESULTS Mean wbCBF increased significantly from 7±2 ml/100 g min (mean±sd) at 31±2 weeks postmenstrual age to 12±3 ml/100 g min at term-equivalent age (TEA) and 29±9 ml/100 g min at 52±1 weeks postmenstrual age. Relative regional CBF was highest in the BGT at all time-points. Relative OC-and FC-CBF increased significantly from 31±2 weeks postmentrual age to TEA. A significant difference in relative BGT-CBF and OC-CBF was shown between infants at 31±2 weeks postmenstrual age and infants scanned at 52±1 weeks postmenstrual age. Relative perfusion in the BGT measured at TEA was significant different compared to 52±1 weeks postmenstrual age. CONCLUSION In conclusion, regional differences in CBF and changes with postmenstrual age could be detected with ASL in neonates. This suggests that ASL can be used as a non-invasive tool to investigate brain maturation in neonates.

Microstructural brain development between 30 and 40 weeks corrected age in a longitudinal cohort of extremely preterm infants

Diffusion tensor imaging (DTI) is frequently used to assess brain development in preterm infants. This study investigates maturational changes in diffusivity measures in 122 regions of the brain between 30 and 40 weeks postmenstrual age (PMA) using the neonatal atlas of Oishi and colleagues (Oishi et al., 2011). Forty infants without cerebral injury and with normal neurodevelopmental outcome were selected from a cohort of preterm infants (gestational age<28 weeks), scanned longitudinally at 30 and 40 weeks PMA. Fractional anisotropy (FA) changed significantly in 84 brain regions, with the largest increase in the central brain regions; by contrast, the cortical brain regions showed a decrease in FA. Mean, radial and axial diffusivity all showed a clear decrease in the majority of brain regions. This study provides longitudinal reference diffusivity values in a cohort of extremely preterm infants, showing a central to peripheral and posterior to anterior directed gradient, in line with our current understanding of brain maturation, and adding to this knowledge. This study further elucidates brain maturation in preterm infants during the last 10 weeks prior to term equivalent age. The presented values can be used as a reference for assessing brain development in other cohorts, when investigating the effects of brain injury in this vulnerable period, and to evaluate the effect of future neuroprotective strategies.

Hydrocortisone treatment for bronchopulmonary dysplasia and brain volumes in preterm infants.

OBJECTIVE To assess whether there was an adverse effect on brain growth after hydrocortisone (HC) treatment for bronchopulmonary dysplasia (BPD) in a large cohort of infants without dexamethasone exposure. STUDY DESIGN Infants who received HC for BPD between 2005 and 2011 and underwent magnetic resonance imaging at term-equivalent age were included. Control infants born in Geneva (2005-2006) and Utrecht (2007-2011) were matched to the infants treated with HC according to segmentation method, sex, and gestational age. Infants with overt parenchymal pathology were excluded. Multivariable analysis was used to determine if there was a difference in brain volumes between the 2 groups. RESULTS Seventy-three infants treated with HC and 73 matched controls were included. Mean gestational age was 26.7 weeks, and mean birth weight was 906 g. After correction for gestational age, postmenstrual age at time of scanning, the presence of intraventricular hemorrhage, and birth weight z-score, no differences were found between infants treated with HC and controls in total brain tissue or cerebellar volumes. CONCLUSIONS In the absence of associated parenchymal brain injury, no reduction in brain tissue or cerebellar volumes could be found at term-equivalent age between infants with or without treatment with HC for BPD.