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The developing brain is most vulnerable during the last 3 mo of fetal life and at term age when neuronal proliferation, neuronal migration, white matter myelinisation, glial cell migration, and cortical folding are at their maximum ages (1,2,3). Any disturbance around birth in the delivery of blood or oxygen to the brain tissue can have a deleterious effect leading to hypoxic-ischemic encephalopathy (HIE) (4,5), perinatal arterial ischemic stroke (PAIS) (6) mainly in term infants, and periventricular leukomalacia (7) especially in preterm infants, or other brain injuries, which are known to be related to adverse neurodevelopmental outcome (8,9,10). Therefore, a sensitive assessment of the perfusion and oxygenation status of the brain tissue is important to monitor the neonate’s brain. As well, it could provide invaluable insight into the effect of neuroprotective agents. Unfortunately, the gold-standards to evaluate brain hemodynamics, oxygen-15 positron emission tomography (PET) and Xenon clearance, are invasive and therefore not feasible in neonates on a routine basis (11,12). Although, noninvasive techniques like Doppler flow measurements (13) and near-infrared spectroscopy (NIRS) (14) have been used as alternatives, these techniques have their own limitations. Given current commercial device and sensor combinations, NIRS only provides localized information (i.e., depending on sensor position) and samples at an average depth of 2 cm (15). Limitations of the Doppler technique in assessing flow are it’s angle dependency and, particularly in the (preterm) neonatal population, small vessel size limits the method to the assessment of indices of flow rather than actual flow. In addition, it does not actually measure tissue perfusion (e.g., in ml/100g/min).

Advances in Magnetic Resonance Imaging (MRI) have brought forward techniques which allow noninvasive evaluation of brain hemodynamics. More recently, these techniques have made their transition to the neonatal population. This review provides an overview of cerebral hemodynamics and how they are measured by noninvasive techniques, summarizes potential clinical applications, and ends with suggestions for future research.

Cerebral Hemodynamics

The delivery of oxygen and other nutrients to the brain tissue is essential for the brain tissue to survive. The delivery and consumption of oxygen and nutrients can be defined by four different hemodynamics parameters: the cerebral blood flow (CBF), the oxygen extraction fraction (OEF), the oxygen saturation (SO2), and the cerebral metabolic rate of oxygen (CMRO2). The different MRI techniques to measure CBF, OEF, SO2, and CMRO2 will be discussed separately.

Cerebral Blood Flow

Phase-contrast magnetic resonance angiography (PC-MRA) and arterial spin labeling (ASL) are the two noninvasive MRI-techniques available to estimate CBF. The advantage of PC-MRA as compared with ASL is the velocity with whom the images can be acquired. The disadvantage is its lack of spatial information and the post processing time required to segment conventional brain images in order to obtain a perfusion value in ml/100 g/min. Arterial spin labeling, on the other hand, does provide perfusion measurements at the brain tissue level which can be obtained with limited post processing. However, ASL is limited in signal-to-noise ratio (SNR).

In PC-MRA two flow-sensitive datasets are acquired with opposite flow-encoding gradients. The flowing protons, or spins, in the blood thereby yield a net phase shift in between the acquisition of both datasets while stationary spins (e.g., tissue) do not gain a net phase shift. The magnitude of this phase shift is directly proportional to the velocity of the spins and can be expressed in cm/s. Multiplication of a vessel’s cross-sectional surface area (π∙r2) by the average blood velocity (in cm/s) in the same vessel, yields the actual quantity of blood (in ml/min) being transported by that vessel. Subsequently, blood flow toward the brain can be obtained by adding up the blood flow in the main feeding arteries: both internal carotid arteries and either both vertebral arteries or the basilar artery. The final step is calculating CBF (in ml/100 ml/min) by dividing total blood flow by total brain volume derived from segmentation of anatomical MR images. Division by brain density (i.e., 1.06 g/ml in neonates) (16) provides brain perfusion in more commonly reported units of ml/100 g/min. Blood flow can be measured with PC-MRA in less than a minute, in order to obtain brain perfusion one should take another few minutes for anatomical MR images into account.

The second technique, ASL is a subtraction technique where a perfusion weighted image is obtained by subtraction of a control image and a labeled image. In the labeled image, the blood signal has been inverted during the preparation phase. This is done by applying radiofrequency pulses in the neck region. The acquisition of the actual image starts at a certain delay after labeling (i.e., postlabel delay), which allows the inverted spins to reach the brain tissue through the vasculature. The difference in signal between the control and labeled images is proportional to the CBF. Each control-label pair yields a signal difference of only 1–2%, therefore, multiple control-label sets (i.e., dynamics) are acquired to increase the SNR. By averaging the signal of multiple dynamics the SNR is increased as the noise goes down with the square root of the number of dynamics. However, one needs to keep in mind that this works at the expense of a longer imaging time. The signal difference of the subtracted image can be quantified using a general kinetic model which accounts for the size of the labeled bolus, the decay of the label, the efficiency of the labeling, and the proton exchange rate between blood and tissue (17). The proton exchange rate can be considered a single constant. However, the size and decay of the label depend on the acquisition (e.g., label duration and postlabel delay), patient characteristics (i.e., the longitudinal relaxation rate or spin-lattice relaxation time of blood (T1b) which depends on age and hematocrit (hct)), and the flow velocity of blood in the neck which affects label efficiency. Two research groups have measured the T1b in neonates and found it to be higher and more variable in neonates compared with adults; mean 1.8 s range with reported rages of 1.4–2 s and 1.4-2.3s respectively (18,19). For comparison, adults have a typical T1b of ~1.6 s (20). These variations in neonatal T1b arise from the more variable hematocrit observed in infancy. More importantly, assuming an incorrect T1b can introduce perfusion errors ranging from −17 to 30% (19). In addition, the label efficiency is more likely to vary in neonates and also depends on which labeling technique is being used. In general, two ASL techniques are used in neonates; pulsed ASL (PASL) and pseudocontinuous ASL (pCASL). With both techniques perfusion images can be acquired in ~3 min. In PASL a thick slab (10 cm) of arterial hydrogen protons is inverted proximal to the imaging plane at a single time point using a short radiofrequency pulse (5–20 ms), Figure 1a . In pCASL a train of discrete radiofrequency pulses is applied for a certain (label) duration (e.g., 1–2 s) to label the protons in the neck region just proximal to the brain, Figure 1b (21). Although pCASL has a higher SNR compared with PASL, its inversion efficiency is dependent on the blood’s velocity (22), which is known to be quite variable in neonates (23). A comparative study between PASL and pCASL in neonates demonstrated a strong correlation between the CBF values, but, the image quality score of pCASL images was higher than PASL images (24). Figure 1c shows example perfusion images obtained with PASL and pCASL. The following models are used to quantify (in ml/100 g/min) PASL and pCASL images, respectively;

Figure 1
figure 1

Pulsed and pseudocontinuous ASL. (a) Labeling and imaging planes of PASL; the labeling slab of PASL is around 10 cm and covers the neck region. (b) Labeling and imaging planes of pCASL; the labeling plane of pCASL is a thin slab just proximal of the brain on which a train of radiofrequency pulses is applied to label a pile of blood. (c) T2-weighted images. (d) Perfusion-weighted images obtained with PASL. (e) Perfusion-weighted images obtained with pCASL. The images in c, d, and e are of the same infant. ASL, arterial spin labeling; PASL, pulsed ASL; pCASL, pseudocontinuous ASL.

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With λ being the blood-brain partition coefficient, SI-the signal intensity, α-the inversion time, and TI-the inversion time. From the authors’ experience, a postlabel delay of 1.5–2.0 s gives reliable perfusion images. In terms of the T1b we would recommend to estimate its value based on hematocrit or adopt a value of 1.8 s (18,19). The λ can be set at 1.1 ml/g based on previous literature (25). No work has been published on the inversion efficiency in neonatal ASL imaging yet, we recommend 95% for PASL imaging and a conservative 85% for pCASL imaging based on its dependency of blood velocity.

Apart from these two noninvasive MRI techniques to measure CBF, the CBF can also be measured at the tissue level with the use of gadolinium-based contrast agents which causes magnetic susceptibility effects and thereby a signal drop when the contrast bolus passes through the tissue. Despite the technique being invasive as it requires the administration of a contrast agent, the contrast agents have also been related to nephrogenic systemic fibrosis in patients with renal impairment (26). This is in particular of importance in neonates due to their immature renal function. The advantage of gadolinium-based perfusion-weighted imaging over ASL is the fact that the contrast bolus induces larger signal changes as compared with the labeled spins in ASL imaging. The reliability of perfusion images is further increased in children due to their higher heart rate and faster circulation times which narrow the contrast bolus (27).

The SO2 and the OEF

The techniques to measure the cerebral SO2 in neonates can be roughly divided into two groups (1); the susceptometry-based measurements (28) and (2) the T2-based measurements (29,30,31,32,33). The T2-based measurements rely on the transverse (or spin-spin) relaxation time of blood (T2b) and are T2-relaxation-under-spin-tagging (29,30,31), T2-prepared tissue relaxation with inversion recovery (T2-TRIR) (32) and T2-prepared blood imaging of oxygen saturation (T2-BIOS) (33). The OEF is the difference between the arterial oxygen saturation-SaO2, obtained by pulse oximetry, and the venous oxygen saturation-SvO2, obtained in the sagittal sinus.

Susceptometry-based measurements, rely on the relative magnetic susceptibility difference between intravascular blood and surrounding tissue (34). As deoxygenated hemoglobin is paramagnetic, the extent to which the local magnetic field is disturbed depends on the blood oxygenation level. Intravascular protons sense a slightly larger magnetic field, which results in a susceptibility difference between intravascular and extravascular protons. The shifts in magnetic field can be quantified by measuring the phases of the MRI signal, and thereby the oxygenation level of blood can be quantified. In more or less a minute time the SvO2 can be measured in the sagittal sinus using SBM.

In the T2-based measurements the transverse relaxation rate of pure blood (T2b) is measured. The T2 has a known relation with oxygenation (Y) and Hct, therefore the T2b can be converted into SO2 by means of a calibration plot obtained through in vitro measurements on adult and neonatal blood (29,35). The difference in T2-relaxation-under-spin-tagging (~80 s, T2-TRIR (~90 s) and T2-BIOS (~270 s) lies in the approach used to isolate the signal coming from blood. Both T2-relaxation-under-spin-tagging and T2-TRIR target the sagittal sinus and thus obtain venous T2b, and thus Yv. Consequently, from Yv the OEF can be calculated when the arterial oxygenation (Ya) is known.

In T2-relaxation-under-spin-tagging the blood is magnetically labeled and isolated using a similar principle of control minus label image as is used in ASL MRI. Hereby contamination by signal from surrounding tissue and cerebrospinal fluid is avoided (30). Instead, the T2-TRIR uses an image saturation module to suppress signal from tissue types other than blood. The inflowing blood has not been suppressed previously and will be the only source of signal ( Figure 2 ). The T2-BIOS technique (33) on the other hand isolates the blood signal by exploiting Intravoxel incoherent motion imaging (36,37). This way blood in arterial, capillary, and venous vessels is targeted and an overall T2b of a mixed vascular compartment is obtained. In theory, this mixed compartment is comparable to the compartment that is being measured by NIRS. The advantage of the T2-BIOS over NIRS is that it also provides a SO2 estimate of the deeper gray and white matter.

Figure 2
figure 2

The T2-TRIR sequence. (a) The image shows the planning of the T2-TRIR sequence. The T2-TRIR sequence incorporates a whole-brain T2 preparation scheme (white stripes) while the imaging plane (yellow) receives a presaturation pulse. This way the signal from all tissue within the imaging plane is suppressed and only T2-prepared inflowing blood in the sagittal sinus is depicted (see panel b). An automatic region-of-interest is than chosen within the sagittal sinus and from the signal intensities within this area the T2 of blood can be obtained (see panel c).

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The CMRO2 (in µmol/100 g/min) is the actual tissue consumption of oxygen and can be defined as the OEF times the CBF, while accounting for the oxygen carrying capacity of blood (i.e., Hb-bound O2 and O2 dissolved in plasma; Ca) (31,32).

Multimodality Studies

Several studies have demonstrated associations between hemodynamic parameters assessed by different modalities ( Table 1 ). This cross-validates the different techniques and strengthens confidence in their use a measure of cerebral hemodynamics.

Table 1 Multimodality studies

CBF measured by PC-MRA correlated positively with CBF values obtained by Doppler ultrasound. Nevertheless, limits-of-agreement were wide (−78 to +68), most markedly at higher CBF (38). NIRS-SO2 has been found to have a strong correlation with both whole brain and frontal CBF (33,39,40). Interestingly, the group of Massaro et al. did not find a strong relation between NIRS-SO2 and CBF during the second week after HIE (41). However, in this study, spot NIRS measurements instead of continuous NIRS tracings were analyzed and the measurements were not necessarily obtained in close proximity to MR imaging.

A good relation was found between NIRS-SO2 and MRI-SO2/Yv measured by either T2-TRIR, T2-BIOS or susceptometry-based measurements (33,39). A cross-validation of the T2-TRIR and T2-BIOS technique found a moderate relation (33). Overall, we could say that the different measurements relate to each other, which brings support for their further evaluation in clinical research studies.

Clinical Applications

Thus far, the main focus in terms of clinical applications has been on brain maturation in preterm infants, infants with PAIS, with HIE, and infants with congenital heart disease (CHD). The results of these studies are summarized in Table 2 .

Table 2 MRI measurements of hemodynamic parameters

Brain Maturation

Two studies evaluated CBF using PC-MRA and both of them found an increase in CBF with postconceptional age (42,43). In the study of Benders et al., the CBF ranged from 11 to 48 ml/min/kg body weight in infants ranging from 30 to 51 wk postconceptional age (42). Varela et al. found CBF to vary from 24–56 ml/100 g/min brain tissue in infants with a postconceptional of 30–95 wk (43). Moreover, in this last study, a steep rise in CBF was noticed in between 47 and 62 wk of postconceptional age (38). A study performed using ASL (44) found a similar increase in CBF with age; from 7 –29 ml/100 g/min in infants ranging from 29 –50 wk postconceptional age. In their study, CBF was highest in the deep gray matter. Similarly, Miranda et al. found a significant higher perfusion in the basal ganglia than in the cortical gray matter of term neonates and preterm neonates at term-equivalent age and it was hypothesized that these regional differences were caused by developmental processes (45). The increase in CBF with postconceptional age reflects brain maturation and is consistent with previously performed positron emission tomography and xenon-enhanced computed tomography studies (Xe-CT) (46,47,48,49,50,51). For an overview of these earlier found values, see Table 3 . Figure 3 shows ASL images of a preterm infant imaged at preterm age and at term-equivalent age, the increase in perfusion with gestational age can be appreciated on these images. As well, it can be noted that the perfusion is higher in the occipital than in the frontal cortex. This is related to brain development and is similar to the results found in diffusion-tensor imaging studies and studies on cortical folding.

Table 3 Non-MRI measurements of hemodynamic parameters
Figure 3
figure 3

Brain maturation. Images of an infant born at preterm age (30 wk postconceptional age). (a) T2-weighted images and PASL images obtained at 31 wk postconceptional age, the brain perfusion is shown in ml/100g/min (see color bar). (b) T2-weighted images and PASL images obtained at a postconceptional age of 38 wk. Note that the color bar has a higher scale than in a, this was necessary because the perfusion was increased as compared with the images obtained at preterm age. ASL, arterial spin labeling; PASL, pulsed ASL.

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T2-based measurements of venous oxygenation (Yv) found mean values of 64 and 59% in infants with a postconceptional age of 33–40 wk and 26–48 wk respectively (32,52). The mean CMRO2 values found in these studies were 38 and 30 μmol/100 g/min. Interestingly, both studies found an increase in the CMRO2 with both postconceptional and postnatal age. Similar to the CBF measurements, the CMRO2 measurements obtained by the newly developed noninvasive MRI techniques are in a similar order of magnitude as the values found earlier in positron emission tomography and NIRS studies ( Table 3 ) (48,49,50,53).

Perinatal Arterial Ischemic Stroke

A study performed using PC-MRA demonstrated a higher blood flow in the ipsilateral ICA during the acute phase after unilateral PAIS. This increased blood flow toward the affected side disappeared after 3 mo and no relation was found between this asymmetry in blood flow and stroke size (54). When using ASL, an increased CBF was found in one out of four patients. The remaining three patients demonstrated a decreased CBF in the stroke center, however with increased CBF in the periphery of the stroke region (55). Similar perfusion patterns were described in a second ASL MRI study (56). In this study, one patient presented with hyperperfusion, whereas the remaining three presented with hypoperfusion and only one of them had hyperperfusion in the periphery of the stroke area. As compared with the PC-MRA study, perfusion at follow-up was comparable between the affected and unaffected side. It can be concluded that hyperperfusion can occur at certain time intervals after stroke in neonates. Depending of the location of this phenomenon, it could be comparable to “luxury perfusion” described in adult stroke. It has been suggested that the luxury perfusion represents physiologic transient reperfusion via recanalization and/or collateral flow, which might be a marker for tissue survival and protective for hemorrhagic transformation (57,58,59). Figure 4 , panel a shows ASL images of an infant with PAIS.

Figure 4
figure 4

Perinatal arterial ischemic stroke and hypoxic-ischemic encephalopathy. (a) T2-weighted images and PASL images of an infant with PAIS in the territory of the right middle cerebral artery (MCA). On the T2-weighted images tissue loss is seen within the right MCA area. Within this same area, a lower perfusion is seen on the PASL (images. b) T2-weighted images and PASL images of an infant with HIE. The brain tissue of this infant demonstrated a profound hyperperfusion; this is in particular noticeable on the scale of the color bar, which had to be increased up to 100 ml/100 g/min. ASL, arterial spin labeling; HIE, hypoxic-ischemic encephalopathy; PAIS, perinatal arterial ischemic stroke; PASL, pulsed ASL.

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Hypoxic-ischemic Encephalopathy

Two studies found a higher perfusion in the deep gray matter of the infants with HIE and poor outcome; De Vis et al. reported 63 vs. 28 ml/100 g/min with a 85% sensitivity and 100% specificity for adverse outcome at a cut-off of 51 ml/100 g/min (60). Shi et al. did not quantify perfusion, but found significant higher signal intensity in the gray matter and basal ganglia of infants with HIE (61). Pienaar et al. found a negative correlation between the apparent-diffusion-coefficient and CBF in nine neonates with clinical and imaging evidence of ischemia, which suggests that cerebral tissue damage is associated with hyperperfusion (62). A single study described the evolution of perfusion during the first week after the hypoxic-ischemic event. Initial hypoperfusion on day 1 was followed by hyperperfusion in brain areas that subsequently exhibited brain injury on conventional images (63). Another study evaluated the brain tissue perfusion in the second week after the hypoxic-ischemic event and found global and regional CBF to be still higher in infants with HIE (64). Among the infants with HIE, infants with injury on MR imaging had a lower CBF in the thalamus. This was attributed to pseudonormalization of CBF and low metabolic demand after progression to irreversible brain injury (41). Figure 4b shows ASL images of an infant with HIE.

Thus far, only one paper described MRI-based measurements of venous oxygenation (Yv) and CMRO2 in infants with HIE (32). In this study, the Yv in infants with HIE was found to be higher than in controls (66% vs. 50%), suggesting lower oxygen consumption caused by tissue injury. No significant differences in CBF and CMRO2 were found, possibly due to the smaller sample size. Derangements in oxygen consumption in neonates with HIE, measured by magnetic resonance spectroscopy, have been found to be related to adverse neurodevelopmental outcome (65).

Congenital Heart Disease

Neonates with CHD can be a particular difficult group in which to perform ASL perfusion measurements. This is because vascular shunts between the pulmonary and arterial circulation can decrease the body circulation time of labeled blood. Goff et al. demonstrated that the amount of negative voxels in neonates with CHD increases when the CBF is decreased, thus potentially introducing errors in the CBF measurements (66). A way to decrease the number of negative perfusion voxels is by restricting the labeling volume (67). In infants with CHD a decreased CBF and a smaller change in CBF under hypercarbia circumstances was shown to relate to periventricular leukomalacia (68). Nagaraj et al. found lower global and regional (basal ganglia) CBF in infants with CHD compared with controls. Within the group of infants with CHD, infants with cyanotic CHD had lower CBF in the basal ganglia, thalami, and occipital white matter compared with infants with acyanotic CHD (69). Susceptometry-based CMRO2 measurements were performed in neonates with CHD but have thus far not been compared with measurements in control neonates (39).

Future Research

Thus far, the reported (disease) populations are small and heterogeneous. There is a need for larger sample sizes and robust normative data in terms of postconceptional and postnatal age. In this regard, neonatal hemodynamic imaging could benefit from (inter)national collaborations in which patients with specific diseases are pooled. Multicentre studies could also help to resolve particular research questions. In PAIS, studies should be performed to investigate the relation between the different perfusion patterns (over time) and outcome. In addition, imaging of the SO2 or OEF on a voxel-by-voxel basis with MRI sequences such as quixotic (70) (as has been proposed in adults), combined with DWI could potentially identify the penumbra and thus could predict outcome. In neonates with HIE, the course of the brain perfusion beyond the first week after the event is unclear. As well, the profit of oxygen metabolism measurements and their relation with outcome should be investigated further. Hemodynamic evaluation of infants with CHD, both before and after surgery, should be compared with hemodynamic measurements performed in healthy controls. In general, the number of clinical conditions in which hemodynamic imaging have been used is relatively limited and should be increased. Clinicians and researchers should be convinced to include these forms of imaging in their protocol, this way, larger amounts of data could be obtained making it easier to draw conclusions. From a technical point of view, we should strive for a standardized readily interpretable and accessible imaging protocol.

Efforts should be undertaken to apply sequences with minimum motion-sensitivity. In general, shorter sequences equal less motion artefacts. Furthermore, it is recommended to apply background suppression in ASL. As well, 3D-readouts, single shot imaging methods or stack-of spiral acquisitions could be used (17). Furthermore, further investigation need to be performed to assess if pCASL does indeed perform better than PASL, as this investigation was thus far only performed in neonates with HIE and in nonrandom order. Furthermore, the actual labeling efficiency in pCASL should be investigated. More specifically, for neonates with CHD an optimal imaging protocol could reduce the number of negative perfusion voxels and thereby semistandardize perfusion weighted imaging in this patient group. In this respect, it would be interesting to evaluate the performance of the different sequences. In addition, voxel-by-voxel methods, specifically for the oxygenation measurements, should be developed and improved to provide full brain coverage with sufficient SNR. Making the sequences themselves more robust would convince clinical researchers and even clinicians more to investigate the additional clinical value of those sequences and to even apply them in clinical care.

Conclusion

The three main noninvasive MRI techniques that are currently available to the neonatal population to image cerebral hemodynamics are PC-MRA, ASL, and T2-based and susceptometry-based measurements of (venous) oxygenation. Thus far, ASL during the first week of life in infants with HIE is most studied and has direct evidence of clinical application. A higher CBF on day 1–7 predicts worse outcome and can be used to direct care and provide prognostic information in relation with the clinical findings. For most other conditions we can conclude that the power lies in the numbers. These hemodynamic tools clearly have some additional value, but we need to increase the numbers, standardize and optimize the research and imaging protocols to draw unequivocal conclusions that can be beneficial on an individual basis in daily clinical care.

Statement of Financial Support

No financial support was obtained for this study.

Disclosure

The authors have no conflict of interest to disclose.