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Abstract

Background and Purpose—

Spreading depolarizations (SDs) may contribute to delayed cerebral ischemia after subarachnoid hemorrhage (SAH). We tested whether SD-inhibitor valproate reduces brain injury in an SAH rat model with and without experimental SD induction.

Methods—

Rats were randomized in a 2×2 design and pretreated with valproate (200 mg/kg) or vehicle for 4 weeks. SAH was induced by endovascular puncture of the right internal carotid bifurcation. One day post-SAH, brain tissue damage was measured with T2-weighted magnetic resonance imaging, followed by cortical application of 1 mol/L KCl (to induce SDs) or NaCl (no SDs). Magnetic resonance imaging was repeated on day 3 followed by histology to confirm neuronal death. Neurological function was measured with an inclined slope test.

Results—

In the groups with KCl application, lesion growth between days 1 and 3 was 57±73 mm3 in the valproate-treated versus 237±232 mm3 in the vehicle-treated group. In the groups without SD induction, lesion growth in the valproate- and vehicle-treated groups was 8±20 mm3 versus 27±52 mm3. On fitting a 2-way analysis of variance model, we found a significant interaction effect between treatment and KCl/NaCl application of 161 mm3 (P=0.04). Number and duration of SDs, mortality, and neurological function were not statistically significantly different between groups. Lesion growth on magnetic resonance imaging correlated to histological infarct volume (Spearman’s rho =0.83; P=0.0004), with areas of lesion growth exhibiting reduced neuronal death compared with primary lesions.

Conclusions—

In our rat SAH model, valproate treatment significantly reduced brain lesion growth after KCl application. Future studies are needed to confirm that this protective effect is based on SD inhibition.

Introduction

Delayed cerebral ischemia (DCI) is a common and feared complication after subarachnoid hemorrhage (SAH), which occurs in approximately one third of patients.1 The mechanisms that are involved in DCI development are largely unknown. Spreading depolarizations (SDs) have been suggested to be associated with DCI in experimental and clinical SAH studies.2
SDs are waves of depolarizations of neurons and glial cells that spread across brain tissue at a speed of 2 to 6 mm/min.3 SD is the underlying mechanism of a migraine aura, but may also be associated with other brain diseases. In migraine aura, the tissue recovers from the electrolyte imbalance caused by SDs, presumably through temporary hyperperfusion.4 However, after an acute ischemic brain insult, such as SAH, SDs may cause permanent tissue injury arising from spreading ischemia because of an inverse hemodynamic response to SD combined with an increased metabolic demand.2,5 In a small study of SAH patients who needed surgery for their ruptured aneurysm, SDs were recorded by electrocorticography and seemed associated with the development of DCI.5 Inhibition of SD is, therefore, a potential therapeutic approach to prevent brain injury after SAH.
Multiple drugs, including antiepileptic drugs and migraine prophylactics, have SD-inhibiting properties.6 For SAH patients, nimodipine is the only established drug for the clinical prevention of DCI.1 Although the mechanism of action of nimodipine has not been elucidated, it has shown to be effective in inhibiting SDs in animal studies.7,8 Valproate is another effective SD-inhibiting drug.911 Intraperitoneal injection of valproate was found to decrease lesion size after ischemic stroke in a rat model,12 where SDs have been shown to contribute to lesion growth.13,14 Valproate treatment has also been shown to improve the outcome in a mouse model with SAH induced by subarachnoid blood injection.15 However, the mechanisms through which valproate may reduce brain injury after SAH remains unknown.
We recently developed a rat model for SD-induced delayed brain injury after SAH.16 The aim of our study was to investigate whether valproate inhibits post-SAH lesion growth after SAH with and without experimental induction of SDs.

Methods

Study Design

This study was performed in accordance with guidelines of the European Communities Council Directive and approved by the Animal Experiments Committee of the University Medical Center Utrecht. Data reporting is in compliance with the Animal Research: Reporting of In Vivo Experiments guidelines (ARRIVE; http://www.nc3rs.org.uk/arrive-guidelines). Adult male Wistar rats of 200 to 250 g (Charles River, Sulzfeld, Germany) were housed in a 12-hour light, 12-hour dark cycle and had access to standard laboratory chow and water ad libitum. A sample size of 16 to 17 animals per group was a priori calculated based on the Chi-square test with a hypothesized valproate-induced lesion reduction from 300 (±75) mm3 to 200 (±75) mm3 and 35% mortality before day 3, based on previous research from our group.17 Rats were randomized in a 2×2 design with randomization through an electronically generated list by an independent person with allocation concealment. Animals were treated daily, starting 4 weeks before SAH induction, with 0.2 mL/100 g of 100 mg/mL intraperitoneally administered sodium valproate (200 mg/kg; valproate groups) or saline (with a similar osmolarity and pH as valproate; vehicle groups). Four weeks after treatment onset, SAH was induced in all animals, followed by cortical application of KCl—to induce SDs—(KCl groups) or application of saline—which does not induce SDs—(NaCl groups). The treatment was continued until 2 days after SAH. This resulted in the following groups: valproate–KCl group (N=17); vehicle–KCl group (N=16); valproate–NaCl group (N=17), and vehicle–NaCl group (N=16). Rats were excluded if their body weight dropped below 280 g after pretreatment and in case no SAH was present on postmortem investigation. Data from the vehicle groups have also been used for an earlier study.16

Subarachnoid Hemorrhage Model

Rats were anesthetized, endotracheally intubated, and mechanically ventilated with 2% isoflurane in air/O2 (4/1). Core temperature was maintained at 37.5°C using a temperature-controlled heating pad. SAH was induced by intracranial endovascular perforation as described previously.18 In brief, a stump was created from the right external carotid artery, through which a sharpened 3-0 prolene suture was advanced into the right internal carotid artery to perforate the intracranial bifurcation at the base of the middle and anterior cerebral arteries. After SAH induction, the suture was withdrawn, and temporary clips on the common carotid artery were removed to enable reperfusion, after which anesthesia was ended.

Induction and Recording of Spreading Depolarizations

One day after SAH (and after the first magnetic resonance imaging [MRI] session, see below), a 2-mm burr hole was drilled in the skull at 2 mm anterior to lambda and 2 mm right of the sagittal suture, and the underlying dura was opened. In addition, the skull was indented with a drill at 1 and 2 mm anterior of the burr hole. A small amount of mineral oil was placed in the indents, and a glass fiber probe was placed at each indent, connected to a laser-Doppler flowmetry (LDF) device, which continuously measured cerebral blood flow (CBF) for 1 hour. A cotton ball soaked with saline was placed in the burr hole. After 10 minutes, the ball was replaced by a cotton ball soaked in 1.0 mol/L KCl to induce SDs (KCl groups) or in saline (NaCl groups). LDF recording was continued for 50 minutes. Number of SDs, estimated from distinct, propagating, transient increases or decreases in LDF, were scored by an observer who was not present during LDF recording and blinded to group assignments. We also measured the total duration of the LDF response to SD by visually scoring the duration of all flow transients We have previously shown that the KCL application did not induce MRI-identifiable lesions in rats without SAH.16

Sensorimotor Function Test

In subgroups of rats (N=10 [group valproate–KCl], 12 [group valproate–NaCl], 10 [group vehicle–KCl], and 12 [group vehicle–NaCl]), we daily assessed functional status with an inclination test.19 This test assesses a rat’s ability to keep from sliding down a triplex plane with increasing horizontal angle, scored by the maximum angle before a rat slid down. The inclination test is a relatively simple and easily applicable test, which we have used in a previous study in rats after SAH.20

MRI of Brain Lesions and Perfusion

On days 1 and 3 post-SAH, rats were endotracheally intubated and mechanically ventilated with 2% isoflurane in air/O2 (4/1) for MRI on a 4.7-T/40 cm magnetic resonance system. The MRI protocol included T2-weighted multiecho MRI and a flow-sensitive alternating inversion recovery (ITS-FAIR)20 protocol with a 2-shot gradient-echo echo planar imaging acquisition for perfusion measurement (see online-only Data Supplement).
T2 maps were calculated from a nonlinear least squares fitting routine. Images were registered to a reference T2-weighted image using Oxford Centre for Functional MRI of the Brain (FMRIB’s) Linear Image Registration Tool (FLIRT).21 In this reference image, regions of interest encompassing the ipsilateral and contralateral sensorimotor cortex and striatum were drawn (by a blinded observer) for cortical and subcortical perfusion measurements. Lesion regions, characterized by clear T2-hyperintensity, were drawn using FMRIB Software Library (FSL) software by 2 independent observers who were blinded to group assignment. The intersection of both sets of lesion regions was taken for further lesion size analyses. We subdivided lesion regions in ipsilateral and contralateral cortical and subcortical regions for additional analysis. A cortical tissue volume of 3×3×2 mm3 below the burr hole was excluded from lesion volume calculation to prevent inclusion of tissue that was directly affected by KCL application. Lesion growth was calculated as the difference between lesion volumes on days 3 and 1 post-SAH. CBF was measured in the ipsilateral and contralateral cortical and subcortical regions after registering the CBF images to the T2-weighted reference image.20 Cortical CBF was expressed as percentage of the CBF value in the unaffected subcortical area contralateral to the side of SAH induction.

SAH Severity Scoring

Surviving rats were euthanized on day 3 post-SAH, after MRI, by an intraperitoneal overdose of pentobarbital. Brains were perfusion-fixed with 4% paraformaldehyde and removed from the skull. Pictures were taken from the base of the brain. To score SAH severity, ventral brain images were segmented into 6 segments, followed by SAH severity scoring between 0 (no subarachnoid blood) and 18 (large SAH) according to Sugawara et al.22

Histology of Tissue Damage

Extracted brains were stored in phosphate-buffered saline with 0.5 g/L sodium azide. A randomly chosen cohort of brains were used for a separate microthrombi study and was unavailable for histological analysis. From the remaining brains, we selected brain samples from rats (group valproate–KCl, N=6; group valproate–NaCl, N=0; group vehicle–-KCl, N=4; group vehicle–NaCl, N=5) with the following patterns of lesion development after SAH: MRI-detectable lesions on days 1 and 3; MRI-detectable lesions only on day 3; and no MRI-detectable lesions on days 1 and 3 post-SAH. Brains were cryoprotected by immersion in 15% sucrose for 48 hours followed by immersion in 30% sucrose solutions for another 48 hours. Coronal sections (30 μm) were serially cut on a freezing microtome, followed by a combined Nissl or Luxol fast blue stain.23 Images of complete serial coronal sections were acquired using digital microscopy. Severity analysis was done on 20× images of 4 or 5 selected regions of interest, characterized by (1) T2 hyperintensity on post-SAH days 1 and 3 (early lesion); (2) T2 hyperintensity only on post-SAH day 3 (delayed injury); or (3) no T2 hyperintensities. Presence of neuronal injury/death, identified by pyknotic cell staining patterns, was scored for each quadrant of each regions of interest on a scale ranging from 0 to 4 (ie, least to greatest severity) by an observer blinded to group assignment.16 Total infarct volume was determined using area annotations (μm2) in NDP view (Nanozoomer Digital Pathology software by Hamamatsu [Hamamatsu City, Japan]) by a second blinded observer.

Outcome Measures

The primary outcome measure (lesion growth) was defined as tissue with a lesion on day 3 where no lesion was seen on day 1 post-SAH. Other outcome measures were sensorimotor function score and mortality. Mortality was determined between pre-SAH and 1 day post-SAH, before SD induction, and between days 1 and 3 post-SAH, after SD induction.

Statistics

To assess the effect of SD (KCl versus NaCl) and pretreatment (valproate versus vehicle) on lesion growth, we used a 2-way analysis of variance. The interaction between medical treatment and NaCl/KCl was of particular interest to us because it captures the difference in pretreatment effect between the NaCl and KCl groups. We observed considerable skewedness of the distribution of the lesion growth and possibly also heteroskedasticity between the 4 groups. To account for this, we used the robust Huber-White sandwich estimator for the standard errors. We computed this estimator by fitting a generalized estimating equations model in SPSS with the robust option and independent correlation structure.24,25 Inclination test scores were analyzed with the same statistical model. Difference in mortality between days 1 and 3 between valproate–KCl versus vehicle–KCl and valproate–NaCl versus vehicle–NaCl groups was analyzed with a Fisher exact test. Spearman’s Rho was calculated to measure correlation between lesion sizes as scored by the 2 observers; between MRI-based and histological lesion volumes; and between T2-hyperintensity and neuronal injury severity scores. Number of SDs and total duration of the SD-induced LDF change were statistically compared between the KCl groups with an unpaired Student’s t test. Cortical CBF values from MRI measurement on day 1 were compared between treatment groups and between ipsilateral and contralateral sides with a 2-way analysis of variance. Values are shown as mean±standard deviation. A P value <0.05 was considered statistically significant.

Results

Four rats were excluded because of significant loss of body weight (N=1) or absence of subarachnoid blood (N=3), resulting in the following final group sizes: valproate–KCl group (N=15); vehicle–KCl group (N=16); valproate–NaCl group (N=16), and vehicle–NaCl group (N=15). SAH severity of surviving rats at day 3 was moderate, with group scores of 11±2 (valproate–KCl), 12±3 (vehicle–KCl), 10±3 (valproate–NaCl), and 12±3 (vehicle–NaCl) and no statistically significant differences between groups.

Spreading Depolarizations

In the rats with experimental SD induction, we measured 4.1±2.9 (valproate–KCl group) and 5.0±2.7 SDs (vehicle–KCl group; P=0.54) during 50 minute recording after KCL application (Figure 1). The average total duration of LDF change was 642±571 s in the valproate–KCl group and 1158±508 s in the vehicle–KCl group (P=0.09). No spontaneous SDs were recorded after cortical saline application in the NaCl groups. Figure 1 shows typical LDF recordings after cortical KCl or NaCl application.
Figure 1. Laser-Doppler flowmetry (LDF) recordings. One rat from the valproate–KCl group showing transient flow increases on both probes typical of spreading depolarization (SD). In the NaCl groups, no pattern of transient increases or decreases were seen.

Brain Lesion Development

MRI revealed lesions with prolonged tissue T2 in ipsilateral and contralateral cortical and subcortical areas, which expanded between days 1 and 3 after SAH (Figure 2). Delineated lesions volumes, identified as hyperintense tissue in ipsilateral and contralateral cortical and subcortical areas on T2-weighted magnetic resonance images, correlated between raters with Rho=0.96 (P<10–5). In the groups with SD induction, lesion growth from day 1 to day 3 post-SAH was 57±73 mm3 in the valproate group as compared with 237±232 mm3 in the vehicle-treated group (Figure 3A). In the groups without experimental SD induction, lesion growth was 8±20 mm3 in the valproate group and 27±52 mm3 in the vehicle-treated group. On fitting a 2-way analysis of variance model, we found a significant interaction effect between treatment and KCL/NaCL application of 161 mm3 (P=0.04). Analysis of subregions within the lesion territory revealed that statistically significant effects for treatment (P=0.004), NaCl/KCl (P<0.001), and their interaction (P=0.021) were only detectable in the ipsilateral cortical lesion subregion and not in the other lesion subregions (Table).
Table. Change in Lesion Volume (mm3; Mean±Standard Deviation) in Cortical and Subcortical Subregions of the Total Lesion in the Ipsilateral and Contralateral Hemisphere, Between Days 1 and 3 After SAH in the Different Experimental Groups
 Valproate–KClVehicle–KClValproate–NaClVehicle–NaClP Value (Treatment)P Value (SD)P Value (Treatment×SD)
Cortical, ipsilateral44±56141±949±2122±420.004<0.0010.021
Subcortical, ipsilateral8±1546±740±12±40.1140.0630.135
Cortical, contralateral8±1849±981±15±120.1920.1520.246
Subcortical, contralateral0±37±160±00±10.1690.1650.171
P values were calculated with 2-way ANOVA with factors treatment (valproate vs vehicle) and SD (KCl vs NaCl). ANOVA indicates analysis of variance; SAH, subarachnoid hemorrhage; and SD, spreading depolarization.
Figure 2. Lesion incidence maps. Voxel-based representations of fraction of rats with lesioned tissue identified on multislice T2 maps at days 1 and 3 after subarachnoid hemorrhage (SAH), in the KCl groups with valproate or vehicle treatment, projected over a rat brain T2 template. The red rectangle overlaid on the rat brain T2 template (top row) is the area below NaCl/KCL application, which was excluded from analysis. There was significantly less lesion growth in the valproate-treated group than in the vehicle-treated group.
Figure 3. Outcome measures. A, Lesion growth. Change in lesion volume between days 1 and 3 after subarachnoid hemorrhage (SAH) in the different experimental groups. *P<0.05 vs vehicle–KCl. B, Sensorimotor function change. Relative change in inclination test score (mean slope angle at which rats slid down) between days 1 and 3 after SAH in the different experimental groups. C, Mortality. Percentage of surviving animals between pre-SAH and day 1 post-SAH (before cortical KCl/NaCl application) and between days 1 and 3 post-SAH (after cortical KCl/NaCl application) in the valproate–KCl (N=15), vehicle–KCl (N=16), valproate–NaCl (N=16), and vehicle–NaCl (N=15) groups.

Cerebral Blood Flow

On day 1 after SAH, before KCl/NaCl application, cortical CBF values were 134±91% (of reference) in the ipsilateral and 131±86% in the contralateral hemisphere in the vehicle-treated animals. In valproate-treated animals, ipsilateral and contralateral CBF values were 111±39% and 96±30%, respectively. There was a significant main effect of treatment on cortical CBF; CBF was lower in valproate-treated rats (P=0.04). There was no significant main effect of hemispheric side (P=0.51), and no significant interaction effect between treatment and hemispheric side (P=0.69).

Sensorimotor Function

Sensorimotor function expressed by the inclination test score was significantly reduced at 1 (valproate–KCl group 33±7; vehicle–KCl 38±7; valproate–NaCl 38±10; vehicle–NaCl 40±6) and 3 days after SAH (valproate–KCl group 34±6; vehicle–KCl 35±7; valproate–NaCl 36±6; vehicle–NaCl 39±6) as compared with before SAH (valproate–KCl group 46±4; vehicle–KCl 49±3; valproate–NaCl 45±6; vehicle–NaCl 46±3; P<10–4 in all groups). There were no significant group differences in the inclination test score change between days 1 and 3 (Figure 3B).

Mortality

Figure 3C shows survival in the experimental groups. Between days 1 and 3 post-SAH, none of the 11 rats in the valproate-treated group died after KCL application, whereas 3 of 11 rats had died in the vehicle-treated group (P=0.21). In the NaCl groups, 4 out of 11 rats that had died in the valproate-treated group and 1 out of 14 rats in the vehicle-treated group (P=0.13).

Histology

Histological assessment of neuronal death with Nissl staining showed that lesioned tissue, as identified with T2-weighted MRI on day 1 post-SAH (early lesion), had pyknotic staining patterns with shrunken or absent nuclei and reduced Luxol fast blue staining, indicative of demyelination, when the rats were euthanized at day 3 post-SAH (Figure 4; neuronal injury severity score 3±1). In regions where tissue lesions were identified with T2-weighted MRI only at day 3 (lesion growth), the histological degree of injury was generally less severe (neuronal injury severity score 2±1). Neuronal injury was absent in all regions identified as nonlesioned with T2-weighted MRI at day 3 (neuronal injury severity score 0±0). The neuronal injury severity score was significantly correlated with absent, late, or early presence of T2 lesions (Spearman’s rho =0.91; P=2×10–24). Histologically measured infarct volumes were significantly correlated with T2-based lesion volumes (Spearman’s rho =0.83; P=0.0004), confirming infarction in MRI-identified lesion areas.
Figure 4. Histology. Data from a rat from the valproate–KCl group and a rat from the vehicle–KCl group. For each rat, the upper left image shows a T2 map of a coronal slice with 4 regions of interest. The lower left image shows the corresponding histological section with Nissl and Luxol fast blue staining, from which 40× magnifications of the 4 regions of interest are shown. Shrunken, pyknotic nuclei, indicating neuronal damage or death, were clearly observed in tissue with magnetic resonance imaging (MRI)–detectable injury at day 1 (region 4) and to lesser extent in tissue with later lesion manifestation (ie, after spreading depolarization [SD] induction; region 2). No lesions were detected on the MRI and histology sections of the displayed rat from the valproate–KCl group. Scale bars: 100 μm.

Discussion

In our randomized, vehicle-controlled rat SAH study, treatment with valproate reduced lesion growth after KCL application to induce SDs. This protective effect was not found in absence of experimental SD induction. We previously reported that experimental SD induction with cortically applied KCl advances lesion growth after SAH in rats.16
The mechanism leading to SDs after clinical SAH is unknown, but it may be related to hemolysis products, such as potassium.26 In animal studies, many drugs have been shown to influence occurrence, frequency, or duration of SDs through modification of the induction threshold, refractory period, or even SD amplitude or length.6 We chose valproate as an SD-inhibiting treatment because, after sufficient pretreatment, this drug has proven to be an effective inhibitor of SD.911 One earlier study also reported beneficial effects of valproate treatment after SAH.15 In that randomized, vehicle-controlled study, valproate administration decreased the number of degenerating neurons and improved neurobehavioral outcome after SAH in mice. However, that study involved a prechiasmatic blood injection model of SAH, without development of delayed injury.27 Furthermore, a potential SD-inhibiting mechanism was not investigated.
An advantage of valproate for the translation of our results to clinical practice is the long experience with the drug as a therapy in different patient populations. Valproate is prescribed for prevention of epilepsy, migraine, manic episodes, and neurogenic pain in humans.28 Although the exact pharmacological action of valproate is unknown, it probably acts through multiple mechanisms.28 Our hypothesis was that valproate directly inhibits the effect of SDs on lesion growth.6 However, the difference in number and duration of SDs was not statistically significant between the groups. Therefore, valproate may also have indirectly mitigated the effect of SDs through its anti-excitotoxic properties28 or by influencing (acute) hemodynamics—we did measure a significant treatment effect on cortical CBF before SD induction. We accounted for the effects of valproate early after SAH by selecting lesion growth after day 1 as our outcome measure. Although the effect of valproate on lesion growth was only significantly present in the KCl group, and most pronounced in the cortex ipsilateral to KCL application, an effect through CBF modulation cannot be excluded. Furthermore, one could rationalize that measurement of systemic parameters, such as blood pressure, would have been beneficial to ascertain the efficacy of valproate treatment, but because we performed survival experiments, we opted to leave out such invasive procedures.
Our study has several limitations. First, valproate was administered as pretreatment, starting 4 weeks before SAH induction. Future studies should test the potential of valproate, or other SD inhibiting drugs, to reduce delayed brain injury when administered acutely after SAH. Second, we did not detect spontaneous SDs, which may be explained by the relatively short recording time limited to 2 cortical regions. SDs were induced by cortical application of 1 mol/L KCl close to the lesion site, which may have directly affected lesion development in addition to the SD-induced pathophysiological effects. We accounted for this by excluding underlying cortical tissue from lesion volume calculations. With the current design, we cannot exclude effects of perforation-induced focal ischemia on lesion volume; the magnitude of this effect could be established in future experiments by application of KCl to the hemisphere contralateral to the perforation. Third, despite the observed difference in delayed brain injury between the valproate- and vehicle-treated groups, we did not measure significant differences in (changes in) sensorimotor function scores. This may be explained by lack of sensitivity of the inclination test to measure potential subtle effects on neurological function on top of the effect of the SAH and the limited sample size (only a subset of rats was tested). Fourth, the final time point of our study was at 3 days after SAH. This may be too early to represent DCI in SAH patients. Nevertheless, our model in rats—which have higher metabolism than humans—clearly demonstrates development of delayed brain injury in relation to SDs, which was the target for our therapeutic intervention. Finally, the induced brain lesions are likely to be in part because of direct effects on CBF after endovascular puncture, leading to early ischemic injury. This may explain why a relatively large part of the lesion is present in the ipsilateral hemisphere. To assess the effects of valproate treatment on delayed brain injury, and minimize the influence of direct ischemic injury, we used lesion growth after day 1 post-SAH as our outcome measure.

Conclusions

In conclusion, we found that pretreatment with valproate, a clinically prescribed drug, decreases delayed brain injury in a rat model of SAH with experimental SD induction after KCL application., Future studies are needed to confirm that this protective effect is based on SD induction and to investigate the therapeutic potential of SD-inhibiting drugs in the prevention of DCI in humans.

Acknowledgments

We thank Wouter Mol for his biotechnical support and Christian Lanier for his contribution to the histological analyses.

Supplemental Material

File (str_stroke-2016-014738d_supp1.pdf)

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History

Received: 17 July 2016
Revision received: 13 November 2016
Accepted: 22 November 2016
Published online: 27 December 2016
Published in print: February 2017

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Keywords

  1. cortical spreading depression
  2. experimental models
  3. MRI
  4. subarachnoid hemorrhage
  5. valproic acid

Subjects

Authors

Affiliations

Arend M. Hamming, MD
From the Departments of Neurology (A.M.H., H.J.A.v.O., M.D.F., A.M.J.M.v.d.M., M.J.H.W.), Human Genetics (A.M.J.M.v.d.M.), Medical Statistics (E.v.Z.), Leiden University Medical Center, Leiden, The Netherlands; Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands (A.M.H., A.v.d.T., U.S.R., R.M.D.); and Department of Neurology and Neurotherapeutics, University of Texas Southwestern Medical Centre, Dallas (L.M., K.P., A.M.S.).
Annette van der Toorn, PhD
From the Departments of Neurology (A.M.H., H.J.A.v.O., M.D.F., A.M.J.M.v.d.M., M.J.H.W.), Human Genetics (A.M.J.M.v.d.M.), Medical Statistics (E.v.Z.), Leiden University Medical Center, Leiden, The Netherlands; Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands (A.M.H., A.v.d.T., U.S.R., R.M.D.); and Department of Neurology and Neurotherapeutics, University of Texas Southwestern Medical Centre, Dallas (L.M., K.P., A.M.S.).
Umesh S. Rudrapatna, PhD
From the Departments of Neurology (A.M.H., H.J.A.v.O., M.D.F., A.M.J.M.v.d.M., M.J.H.W.), Human Genetics (A.M.J.M.v.d.M.), Medical Statistics (E.v.Z.), Leiden University Medical Center, Leiden, The Netherlands; Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands (A.M.H., A.v.d.T., U.S.R., R.M.D.); and Department of Neurology and Neurotherapeutics, University of Texas Southwestern Medical Centre, Dallas (L.M., K.P., A.M.S.).
Lisha Ma, MD
From the Departments of Neurology (A.M.H., H.J.A.v.O., M.D.F., A.M.J.M.v.d.M., M.J.H.W.), Human Genetics (A.M.J.M.v.d.M.), Medical Statistics (E.v.Z.), Leiden University Medical Center, Leiden, The Netherlands; Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands (A.M.H., A.v.d.T., U.S.R., R.M.D.); and Department of Neurology and Neurotherapeutics, University of Texas Southwestern Medical Centre, Dallas (L.M., K.P., A.M.S.).
Hine J.A. van Os, MSc
From the Departments of Neurology (A.M.H., H.J.A.v.O., M.D.F., A.M.J.M.v.d.M., M.J.H.W.), Human Genetics (A.M.J.M.v.d.M.), Medical Statistics (E.v.Z.), Leiden University Medical Center, Leiden, The Netherlands; Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands (A.M.H., A.v.d.T., U.S.R., R.M.D.); and Department of Neurology and Neurotherapeutics, University of Texas Southwestern Medical Centre, Dallas (L.M., K.P., A.M.S.).
Michel D. Ferrari, MD, PhD
From the Departments of Neurology (A.M.H., H.J.A.v.O., M.D.F., A.M.J.M.v.d.M., M.J.H.W.), Human Genetics (A.M.J.M.v.d.M.), Medical Statistics (E.v.Z.), Leiden University Medical Center, Leiden, The Netherlands; Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands (A.M.H., A.v.d.T., U.S.R., R.M.D.); and Department of Neurology and Neurotherapeutics, University of Texas Southwestern Medical Centre, Dallas (L.M., K.P., A.M.S.).
Arn M.J.M. van den Maagdenberg, PhD
From the Departments of Neurology (A.M.H., H.J.A.v.O., M.D.F., A.M.J.M.v.d.M., M.J.H.W.), Human Genetics (A.M.J.M.v.d.M.), Medical Statistics (E.v.Z.), Leiden University Medical Center, Leiden, The Netherlands; Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands (A.M.H., A.v.d.T., U.S.R., R.M.D.); and Department of Neurology and Neurotherapeutics, University of Texas Southwestern Medical Centre, Dallas (L.M., K.P., A.M.S.).
Erik van Zwet, PhD
From the Departments of Neurology (A.M.H., H.J.A.v.O., M.D.F., A.M.J.M.v.d.M., M.J.H.W.), Human Genetics (A.M.J.M.v.d.M.), Medical Statistics (E.v.Z.), Leiden University Medical Center, Leiden, The Netherlands; Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands (A.M.H., A.v.d.T., U.S.R., R.M.D.); and Department of Neurology and Neurotherapeutics, University of Texas Southwestern Medical Centre, Dallas (L.M., K.P., A.M.S.).
Katherine Poinsatte, BA
From the Departments of Neurology (A.M.H., H.J.A.v.O., M.D.F., A.M.J.M.v.d.M., M.J.H.W.), Human Genetics (A.M.J.M.v.d.M.), Medical Statistics (E.v.Z.), Leiden University Medical Center, Leiden, The Netherlands; Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands (A.M.H., A.v.d.T., U.S.R., R.M.D.); and Department of Neurology and Neurotherapeutics, University of Texas Southwestern Medical Centre, Dallas (L.M., K.P., A.M.S.).
Ann M. Stowe, PhD
From the Departments of Neurology (A.M.H., H.J.A.v.O., M.D.F., A.M.J.M.v.d.M., M.J.H.W.), Human Genetics (A.M.J.M.v.d.M.), Medical Statistics (E.v.Z.), Leiden University Medical Center, Leiden, The Netherlands; Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands (A.M.H., A.v.d.T., U.S.R., R.M.D.); and Department of Neurology and Neurotherapeutics, University of Texas Southwestern Medical Centre, Dallas (L.M., K.P., A.M.S.).
Rick M. Dijkhuizen, PhD
From the Departments of Neurology (A.M.H., H.J.A.v.O., M.D.F., A.M.J.M.v.d.M., M.J.H.W.), Human Genetics (A.M.J.M.v.d.M.), Medical Statistics (E.v.Z.), Leiden University Medical Center, Leiden, The Netherlands; Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands (A.M.H., A.v.d.T., U.S.R., R.M.D.); and Department of Neurology and Neurotherapeutics, University of Texas Southwestern Medical Centre, Dallas (L.M., K.P., A.M.S.).
Marieke J.H. Wermer, MD, PhD
From the Departments of Neurology (A.M.H., H.J.A.v.O., M.D.F., A.M.J.M.v.d.M., M.J.H.W.), Human Genetics (A.M.J.M.v.d.M.), Medical Statistics (E.v.Z.), Leiden University Medical Center, Leiden, The Netherlands; Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands (A.M.H., A.v.d.T., U.S.R., R.M.D.); and Department of Neurology and Neurotherapeutics, University of Texas Southwestern Medical Centre, Dallas (L.M., K.P., A.M.S.).

Notes

The online-only Data Supplement is available with this article at http://stroke.ahajournals.org/lookup/suppl/doi:10.1161/STROKEAHA.116.014738/-/DC1.
Correspondence to Marieke J.H. Wermer, MD, PhD, Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands. E-mail [email protected]

Disclosures

None.

Sources of Funding

Netherlands Organization for Scientific Research (Nederlandse organisatie voor gezondheidsonderzoek en zorginnovatie [ZonMW] Veni grant), the Netherlands Heart Foundation (2011T055), and the Netherlands Brain Foundation (project 2011(1)-102) (Dr Wermer). This work was partly supported by the Utrecht University High Potential Program (Dr Dijkhuizen) and the EU Marie Curie IAPP Program “BRAINPATH” (nr 612360; Dr van den Maagdenberg) and the American Heart Association 14SDG18410020 (Dr Stowe).

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  9. Valproic Acid Reduces Vasospasm through Modulation of Akt Phosphorylation and Attenuates Neuronal Apoptosis in Subarachnoid Hemorrhage Rats, International Journal of Molecular Sciences, 22, 11, (5975), (2021).https://doi.org/10.3390/ijms22115975
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Valproate Reduces Delayed Brain Injury in a Rat Model of Subarachnoid Hemorrhage
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