Abstract
Cortical spreading depolarization (SD) involves activation of NMDA receptors and elicit neurovascular unit dysfunction. NMDA cannot trigger SD in newborns, thus its effect on neurovascular function is not confounded by other aspects of SD. The present study investigated if NMDA affected hypercapnia-induced microvascular and electrophysiological responses in the cerebral cortex of newborn pigs. Anesthetized piglets were fitted with cranial windows over the parietal cortex to study hemodynamic and electrophysiological responses to graded hypercapnia before/after topically applied NMDA assessed with laser-speckle contrast imaging and recording of local field potentials (LFP)/neuronal firing, respectively. NMDA increased cortical blood flow (CoBF), suppressed LFP power in most frequency bands but evoked a 2.5 Hz δ oscillation. The CoBF response to hypercapnia was abolished after NMDA and the hypercapnia-induced biphasic changes in δ and θ LFP power were also altered. MK-801 prevented NMDA-induced increases in CoBF and the attenuation of microvascular reactivity to hypercapnia. The neuronal nitric oxide synthase (nNOS) inhibitor (N-(4 S)-4-amino-5-[aminoethyl]aminopentyl-N′-nitroguanidin) also significantly preserved the CoBF response to hypercapnia after NMDA, although it didn’t reduce NMDA-induced increases in CoBF. In conclusion, excess activation of NMDA receptors alone can elicit SD-like neurovascular unit dysfunction involving nNOS activity.
Subject terms: Neuro-vascular interactions, Blood flow, Translational research
Introduction
Spreading depolarizations (SDs) are repeatable, slowly (3–4 mm/min) propagating waves of almost complete neuronal and glial depolarization at the wavefront with simultaneous depression of cortical electrical activity (cortical spreading depression). These electrophysiological changes are accompanied by transient elevations in interstitial H+, K+, glutamate levels and by a characteristic triphasic, in intact brains dominantly hyperemic microvascular response, the latter presumably helping to meet the increased metabolic demand necessary for the recovery of transmembrane ion gradients. In various neurological disorders, such as ischemic stroke or traumatic brain injury, SDs have been shown to play critical roles in the development of cerebrocortical lesions1, therefore it is of great interest to identify the mechanisms by which SDs may contribute directly or indirectly to cortical neuronal injury.
One of the important injury mechanisms of SDs can be the induction of neurovascular unit dysfunction. SDs have been long reported to alter cortical microvascular reactivity, for instance, a single SD can abolish the normal microvascular reactivity to hypercapnia in virtually all species studied including cats2, rats3 and mice4. However, the mechanism of SD-induced microvascular dysfunction remains unclear.
N-methyl-d-aspartate (NMDA), the prototypical selective activator of the NMDA subtype of ionotropic glutamate receptors, has been shown to trigger SDs when applied topically onto the surface of the cerebral cortex in adult mice5 and rats6. In addition, functional NMDA receptors are clearly required for triggering SDs with other stimuli and also for SD propagation7,8. Interestingly, SDs cannot be elicited in neonates, despite expressing functional NMDA receptors. In the newborn pig, local application of NMDA has been shown to dilate pial arterioles and to increase cortical blood flow in a dose-dependent fashion without confounding SDs6.
In the present study, we set out to investigate the effect of topical cortical application of NMDA on the cerebrocortical microvascular response to graded hypercapnia in a neonatal piglet model using laser-speckle contrast imaging (LSCI). Using a neonatal model, we wished to assess only one aspect of SD – the NMDA receptor activation- on neurovascular unit function without the confounding features of an actual SD triggered by NMDA in adult brains. As we found a significant attenuation of CO2-reactivity after NMDA application similar to those previously observed in adult animal models following SDs, we used the NMDA-receptor inhibitor MK-801 and the selective neuronal nitric oxide synthase (nNOS) inhibitor (N-(4 S)-4-amino-5-[aminoethyl]aminopentyl-N′-nitroguanidin; AAAN) to pharmacologically characterize this effect. Furthermore, we sought to determine and describe for the first time the cortical layer-specific changes in electrical activity triggered by local NMDA application in this neonatal model recorded with multi-channel microelectrodes.
Materials and Methods
Animals and surgery
Newborn (<24 h old) male Landrace piglets (n = 31, body weight: 1.5–2 kg) were obtained from a local company (Pigmark Ltd., Co., Szeged, Hungary). The experimental procedures were approved by the National Ethical Committee on Animal Experiments (ÁTET, I.74–7/2015), and then the necessary permit to obtain the animals was issued by the National Food Chain Safety and Animal Health Directorate of Csongrád county, Hungary (permit nr: XIV./1414/2015). The procedures were performed according to the guidelines of the Scientific Committee of Animal Experimentation of the Hungarian Academy of Sciences (updated Law and Regulations on Animal Protection: 40/2013. (II. 14.) Gov. of Hungary), following the EU Directive 2010/63/EU on the protection of animals used for scientific purposes and reported in compliance with the ARRIVE guidelines.
The animals were restrained and anesthetized with intraperitoneal sodium thiopental injection (45 mg/kg; Sandoz, Kundl, Austria). The animals were placed on a servo-controlled heating pad (Blanketrol III, Cincinnati SUB-zero, Cincinnati, Ohio, USA), keeping their core temperature in the physiological range (38.5 ± 0.5 °C). The piglets were intubated through a tracheostomy then mechanically ventilated with humidified medical air occasionally supplemented with oxygen (FiO2: 0.21–0.25) with the following ventilation parameters: respiration rate (RR): 30–35/min; peak inspiratory pressure (PIP): 12–14 cmH2O. A catheter was inserted into the right femoral vein under aseptic conditions and anesthesia/analgesia was switched to intravenous morphine (100 μg/kg bolus then 10 μg/kg/h; Teva, Petach Tikva, Israel) and midazolam (250 μg/kg bolus then 250 μg/kg/h; Torrex Pharma, Vienna, Austria) as used previously9,10 along with supportive fluid therapy (0.45% NaCl, 5% glucose; 3 ml/kg/h). A second catheter was inserted into the right carotid artery for taking blood samples, monitoring the mean arterial blood pressure (MABP) and heart rate (HR). As shown previously, unilateral carotid artery occlusion does not affect cerebral blood flow (CBF) and preferable to catheterization of the femoral artery causing very severe hindlimb ischemic damage11. Blood samples (300 μl) were analyzed for pH, gases, electrolytes and metabolites with an epoc® Blood Analysis System (Epocal Inc., Ottawa, Canada). We monitored the peripheral saturation (SpO2) using pulse oximetry.
After instrumentation, the heads of the animals were fixed into a stainless steel stereotactic frame (RWD Life Science, Shenzhen, Guangdong Province, China). For the LSCI studies, we implanted a stainless steel closed cranial window (d = 1.8 cm) over the parietal cortex which was sealed with bone wax and cemented with dental acrylic12. For the electrophysiology studies, we obtained an open cranial window over the left parietal bone for electrode insertion and we also drilled two holes into the frontal bone positioning the reference and ground electrodes, respectively. The dura mater was carefully removed avoiding the blood vessels. If necessary, the smaller veins were cauterized. The location of the cranial window and the electrode insertion point was determined by stereotactic reference points (window d = 0.8 cm; measured from Bregma: anterior-posterior (AP) axis:-1.2-(−1.4) cm, medial-lateral (ML) axis: 1.1–1.3 cm). The subarachnoidal space was filled with warmed (37 °C) artificial cerebrospinal fluid (aCSF) containing 0.22 g/l KCl, 0.132 g/l MgCl2, 0.221 g/l CaCl2, 7.71 g/l NaCl, 0.402 g/l urea, 0.665 g/l dextrose and 2.066 g/l NaHCO3, and was equilibrated with a gas mixture containing 6.3% O2, 6.2% CO2, and 87.5% N2, respectively. At the end of the experiments the animals were euthanized with an overdose of pentobarbital sodium (300 mg, Release; Wirtschaftsgenossenschaft deutscher Tierärzte eG, Garbsen, Germany).
Experimental protocol
LSCI and electrophysiology studies were performed in separate animals. For the LSCI measurements the animals were divided into 4 groups (Fig. 1). Randomization was performed by coin flip between Group 1 and 2, or 3 and 4, respectively. In each group after obtaining baseline, the microvascular response to graded hypercapnia induced by mechanical ventilation with 5% and 10% CO2 for 7 min for each concentration was recorded. In Group 1 (n = 6), the graded hypercapnia was repeated after recovery time matching the NMDA-treated groups. In Group 2–4, after the first graded hypercapnia increasing concentrations (0.1 and 1 mM) of N-methyl-d-aspartate (NMDA; Sigma Aldrich, St. Louis, MO, US) dissolved in aCSF were applied topically on the cortical surface, each NMDA stimulus lasted for 7 min (Fig. 1). Between and after the NMDA applications, the cranial window was washed with aCSF for 10 min to allow CoBF and the electrical activity to return to baseline. The second graded hypercapnia was elicited 1 h after completion of the NMDA application. In Group 2 (n = 7), the effect of NMDA was studied, in Group 3 (n = 4), the cortex was locally pre-treated with the NMDA receptor antagonist MK-801 (0.1 mM dissolved in aCSF; Research Biochemicals International, Natick, MA, US) and the NMDA was also co-applied with 0.1 mM MK-801. Finally in Group 4 (n = 7), before the start of the LSCI protocol the animals were given a selective neuronal nitric oxide synthase (nNOS) inhibitor (N-(4 S)-4-amino-5-[aminoethyl]aminopentyl-N′-nitroguanidin; AAAN; Santa Cruz Biotechnology, Dallas, TX, US; dissolved in saline, 0.4 mg/kg iv)13. In each group, LSCI was recorded for additional 5 min after euthanasia to determine the biological zero.
Electrophysiology studies were performed with the same protocol as in Group 2 (n = 7). We tested if the cerebrocortical response to NMDA markedly differed in the absence of preceding graded hypercapnia in two additional animals, but we did not observe any differences (data not shown).
LSCI measurements and analysis
The brain was illuminated with near infrared polarized light (λ = 808 nm, 200 mW) with a laser diode (DL-8141-002 SANYO Electric Co., Japan). The images were recorded with a monochrome camera (PL-B741F; PixeLINK® Ottawa, Canada; 1280 × 1024 pixels) which is using a polarizer and a color filter. The raw speckle images were sampled at 1 Hz, 1 ms exposure time with 1 frame/s rate during all the vascular stimuli.
The LSCI analysis was performed offline in LabVIEW (National Instruments Co., Austin, TX, USA). The contrast maps were calculated from the raw speckle images using a 5 × 5 pixel window. In each animal we selected 4 parenchymal region of interests (ROIs; 5 × 5 pixels ~1200 µm2) over the cortical parenchyma avoiding pial vessels. The τ correlations were calculated using Eq. (1), where K(T) is each ROIs’ speckle contrast, β is the coherence factor and T is the exposure time.
1 |
For each image, the calculated 1/τ values were normalized and expressed as percentages of the baseline, and values from all 4 ROIs were averaged in each animal.
Pial arteriolar diameters were determined at selected time points where peak changes in CoBF to the applied stimuli were detected. To obtain better resolution, 30 images were averaged then the Otsu filtering method was applied to reduce noise. In each experiment, four arterioles were selected and the internal diameter of the arterioles were determined using edge detection and Euclidean distance measurement in MATLAB (Mathworks Inc., Natick, US)14. The arteriolar diameter data were normalized and expressed as percentages of the baseline, and values from all 4 arterioles were averaged in each animal.
Neurophysiological recordings
Electrophysiological recordings were taken with 16-channel, acute single shank planar silicone electrodes (l = 10 mm, base width = 50 µm) with 177 µm2 recording sites spaced 100 µm apart (A1x16-10mm-100-177-A16; Neuronexus Technologies. AnnArbor, MI, US, http://neuronexus.com/electrode-array/a1x16-10mm-100-177/). Data acquisition was performed with RHD2000 Evaluation System. The recorded signals were preamplified with a 16-channel headstage/amplifier board (RHD2132 amplifier board, Intan Technologies, Los Angeles, US) under Faraday-cage then the signals were sent through an interface cable to the interface board (RHD2000 USB interface board, Intan Technologies, Los Angeles, US). All recorded data were sampled at 20 kHz, the broad band signals were filtered with a 1-9000 Hz bandpass filter and a notch filter was also applied to eliminate the 50 Hz electrical noise. All data were analyzed off-line in MATLAB environment with implemented toolboxes (Chronux, http://chronux.org/; FMAtoolbox, http://fmatoolbox.sourceforge.net) and custom written scripts.
LFP spectral analysis
The recorded broad band signals (20 kHz) were downsampled to 1250 Hz and filtered with an infinite impulse response (IIR) 4th order Butterworth filter to generate the local field potential (LFP) and to eliminate spiking activity. After LFP generation, we decomposed the signal into the physiological frequency ranges - delta (1–4 Hz), theta (4–8 Hz), alpha (8–13 Hz), beta (13–30 Hz) – to calculate the power spectral density (PSD). We applied a 30 s window on the signals which moves onward with 1 s steps calculating the Fast Fourier Transform (FFT) of the signals using a Gaussian window. The PSDs were determined for each channels, frequency bands, conditions and animals. The calculated PSDs were summed for each frequency bands. All the PSDs were averaged and normalized to the baseline activity.
Addressing the ‘inverse problem’ of LFP, we computed the second spatial derivative, the current source density (CSD) to reveal how the different sources contribute to the mixed signal. We explored and segmented the data into 2.5 s epochs using Neuroscope15. We used the standard CSD method for the computation. All CSDs were calculated with the FMAtoolbox’s built-in function and the spectra were averaged.
Spike sorting and unit classification
Spike sorting was done with the Klusta package (https://github.com/kwikteam/klusta) that performs automatic spike sorting and clustering. Single units were detected from digitally 1–5000 Hz high-pass filtered LFP using a threshold crossing-based algorithm (Spikedetekt2; https://github.com/klusta-team/spikedetekt2). The detected spikes were automatically clustered using masked Expectation-Maximization (EM) algorithm for Gaussian mixtures which is implemented into KlustaKwik216 (https://github.com/klusta-team/klustakwik2/). Clustering was followed by manual adjustment of the clusters using phy KwikGUI software (https://github.com/kwikteam/phy) which is an improved version of KlustaViewa17. The noise, as well as multi-unit and poor quality clusters were discarded from the analysis. The putative interneurons and pyramidal cells were identified by their waveform characteristics and autocorrelograms (ACG)18–20 with the further examination of their cross-correlograms (CCG) to reveal the monosynaptic interactions with other single units19,21.
Statistical analysis
All the LSCI statistical analysis were performed in IBM SPSS Statistics 22, using two-way ANOVA with repeated measures, followed by Tukey’s post hoc test. All results show mean ± SD, respective to the baseline. p < 0.05* was considered as significant.
The electrophysiological statistical analysis was performed with IBM SPSS Statistics 22. We performed one-way ANOVA with repeated measures, followed by Bonferroni post hoc test. All results show mean ± SD, respective to the baseline. p < 0.05* and p < 0.01** were considered as significant. For the Z-score computation we used MATLAB’s statistics toolbox. Relative PSD changes were determined as significant above/below Z ≥ ± 2* and Z ≥ ± 4** with the further examination of the ANOVA results (p < 0.05*, p < 0.01**).
Results
Effects of graded hypercapnia on physiological parameters
Ventilation with 5–10% CO2 resulted in graded hypercapnia that was similar in all experimental groups both for LSCI and for electrophysiology experiments (Table 1). Graded elevations in arterial pCO2 were accompanied by the expected development of marked respiratory acidosis and a slight increase in plasma HCO3− levels, however, arterial pO2, blood oxygen saturation, MABP and HR were all maintained during graded hypercapnia. The stimulus was highly repeatable, repeated ventilation with 5-10% CO2 resulted in virtually identical changes in blood gases compared to the first application (Table 1).
Table 1.
1st stimulus | 2nd stimulus | |||||
---|---|---|---|---|---|---|
Baseline | 5% CO2 | 10% CO2 | Baseline | 5% CO2 | 10% CO2 | |
pCO2 (mmHg) | 39 ± 6 | 63 ± 11 | 91 ± 14 | 42 ± 5 | 69 ± 7 | 99 ± 9 |
pO2 (mmHg) | 69 ± 9 | 79 ± 21 | 82 ± 26 | 67 ± 12 | 77 ± 25 | 82 ± 29 |
pH | 7.51 ± 0.06 | 7.32 ± 0.07 | 7.17 ± 0.05 | 7.48 ± 0.05 | 7.29 ± 0.06 | 7.15 ± 0.05 |
HCO3−(mmol/l) | 30.5 ± 3.7 | 32.2 ± 3.9 | 33.0 ± 3.9 | 31.1 ± 3.0 | 33.2 ± 2.8 | 34.4 ± 3.2 |
BE(b) (mmol/l) | 6.9 ± 3.6 | 5.1 ± 3.8 | 3.3 ± 3.6 | 7.0 ± 3.1 | 5.6 ± 3.1 | 4.0 ± 3.5 |
SpO2 | 97 ± 2 | 95 ± 4 | 94 ± 3 | 96 ± 3 | 94 ± 4 | 94 ± 4 |
MABP (mmHg) | 62 ± 9 | 70 ± 10 | 75 ± 14 | 55 ± 8 | 67 ± 11 | 74 ± 14 |
HR (bpm) | 139 ± 18 | 147 ± 28 | 161 ± 29 | 140 ± 17 | 149 ± 25 | 168 ± 29 |
The cerebrocortical microvascular response to graded hypercapnia and NMDA
LSCI provided two-dimensional maps of cortical perfusion (Fig. 2a–c) that served to determine changes in parenchymal perfusion (Figs. 2d–g, 3a–c) and pial arteriolar diameters (Fig. 3d).
The first exposure to graded hypercapnia resulted in similar, CO2 concentration-dependent increases in CoBF in all groups (Fig. 2d–g), the peak CoBF values (Fig. 3a), the integrated hyperemic CoBF response (Fig. 3b), and the pial arteriolar diameter changes (Fig. 3d) were all similar.
Topical application of 0.1 mM NMDA resulted in a significant increase in CoBF (peak CoBF was 151 ± 14% of baseline) and pial arteriolar diameters (138 ± 31% of baseline) that peaked within 3–4 min (Figs. 2e, 3a,b,d), the elevated CoBF returned to baseline levels after perfusing the cranial window with aCSF. Repeating the stimulation with 1 mM NMDA resulted only in slightly higher elevations both in the peak (172 ± 23%) and the total CoBF responses and the arteriolar diameters (145 ± 20%), and all these changes were reversible upon removal of NMDA. Topical application of the NMDA receptor inhibitor MK-801 did not affect CoBF (Fig. 2f), however, coapplication of MK-801 with either NMDA doses completely abolished the hyperemic and the pial arteriolar response to NMDA (Fig. 3a,b,d). Systemic administration of the selective nNOS inhibitor AAAN did not affect the CoBF response to NMDA (Figs. 2g; 3a,b), however, it caused a significant reduction in the pial arteriolar dilation to NMDA (Fig. 3d).
NMDA eliminates the hypercapnia-induced cortical microvascular response
In the control group, the CoBF response to the second exposure to graded hypercapnia was virtually identical to the first stimulation (Fig. 2d), the peak and the integrated CoBF values were very similar (Fig. 3a,b), and the cerebrovascular reactivity to either CO2 concentration was fully preserved (Fig. 3c). In sharp contrast, cerebrovascular reactivity to the second exposure to graded hypercapnia was abolished in the NMDA-treated group (Figs. 2e, 3). Pre- and coapplication of MK-801 with NMDA prevented the attenuation of the CoBF response to graded hypercapnia (Figs. 2f, 3a,b), cerebrovascular reactivity was preserved (Fig. 3c). In the nNOS inhibitor treated group, the CoBF response to graded hypercapnia was attenuated but not abolished after NMDA (Figs. 2g, 3a,b), thus cerebrovascular reactivity was partially (68 ± 35%) preserved in this group (Fig. 3c).
LFP changes induced by graded hypercapnia
Induction of hypercapnia with 5% CO2 elicited first increases then decreases in LFP power, especially in the delta (δ) and theta (θ) ranges (Fig. 4a,b). Highest increases in δ were observed at cortical depths 100–400 µm and in θ at 100–600 and at 1000–1200 µm (Table 2). The subsequent reduction in power started in the deeper cortical layers (below 900 µm) gradually shifting upward. Switching to 10% CO2 further reduced LFP power both in the δ and θ ranges (Fig. 4). These depressions were largely reversed upon restoration of normocapnia, and the LFPs were not significantly different from the baseline values. LFP power in the alpha (α) and beta (β) ranges was quite small under these experimental conditions and clear hypercapnia-related changes could not be observed (data not shown). LFP changes to graded hypercapnia following the stimulation with NMDA were markedly different, most strikingly the early increases in θ LFP power did not develop (Table 2, Fig. 4b). δ LFP powers were also significantly altered (Table 2), and the pattern of LFP changes appeared to have disorganized.
Table 2.
Delta (%) | ||||||
---|---|---|---|---|---|---|
Cortical depth (µm) | 5% CO2 | 10% CO2 | 0.1 mM NMDA | 1 mM NMDA | 5% CO2 | 10% CO2 |
100 | 140.9 ± 14.3* | 58.6 ± 17.4 | 76.2 ± 10.2 | 252.1 ± 54.3** | 51.2 ± 5.1 | 50.5 ± 12.3 |
200 | 130.4 ± 9.2* | 20 ± 3.1 | 44.7 ± 5.1 | 243.6 ± 49.2** | 46.0 ± 8.2 | 22.3 ± 2.0 |
300 | 123.9 ± 23.6* | 18.7 ± 3.1 | 46.8 ± 4.1 | 187.0 ± 14.3** | 45.3 ± 10.3 | 39.5 ± 11.3 |
400 | 127.9 ± 28.7* | 46.5 ± 8.2 | 113.4 ± 11.3 | 305.0 ± 78.9** | 78.5 ± 12.3 | 68.2 ± 23.6 |
500 | 79.8 ± 13.3 | 54.3 ± 8.2 | 92.5 ± 5.1 | 191.1 ± 14.3** | 66.6 ± 11.3 | 59.6 ± 18.4 |
600 | 71.1 ± 7.2 | 44.1 ± 12.3 | 90.3 ± 7.2 | 197.7 ± 15.4** | 60.8 ± 16.4 | 50.3 ± 25.6 |
700 | 38.0 ± 3.1 | 24.1 ± 7.2 | 49.9 ± 5.1 | 160.6 ± 11.3** | 24.4 ± 2.0 | 34.8 ± 8.2 |
800 | 73.4 ± 14.3 | 60.4 ± 29.7 | 113.0 ± 10.2 | 140.9 ± 18.4* | 82.1 ± 8.2 | 77.0 ± 5.1 |
900 | 52.1 ± 5.1 | 46.1 ± 10.2 | 67.3 ± 3.1 | 66.7 ± 10.2 | 97.9 ± 21.5 | 65.6 ± 13.3 |
1000 | 29.7 ± 4.1 | 26.6 ± 6.1 | 37.7 ± 1.0 | 54.2 ± 7.2 | 31.6 ± 8.2 | 31.0 ± 6.1 |
1100 | 83.0 ± 7.2 | 39.3 ± 10.2 | 103.8 ± 5.1 | 74.0 ± 19.5 | 61.7 ± 9.2 | 53.3 ± 10.2 |
1200 | 40.8 ± 6.1 | 31.5 ± 10.2 | 33.7 ± 3.1 | 40.7 ± 7.2 | 27.2 ± 4.1 | 52.1 ± 14.3 |
1300 | 65.7 ± 5.1 | 40.6 ± 8.2 | 56.4 ± 2.0 | 75.7 ± 14.3 | 42.3 ± 4.1 | 50.6 ± 7.2 |
1400 | 55.3 ± 6.1 | 41 ± 7.2 | 45.1 ± 2.0 | 80.8 ± 21.5 | 38.4 ± 3.1 | 65.3 ± 12.3 |
1500 | 52.7 ± 3.1 | 27.7 ± 2.0 | 60.1 ± 3.1 | 58.4 ± 9.2 | 45.8 ± 8.2 | 36.3 ± 8.2 |
1600 | 64.2 ± 5.1 | 35.2 ± 4.1 | 61.6 ± 7.2 | 84.0 ± 14.3 | 40.1 ± 4.1 | 34.5 ± 7.2 |
Theta (%) | ||||||
100 | 184.4 ± 14.3** | 32.1 ± 5.1 | 61.9 ± 3.1 | 59.0 ± 11.3 | 43.2 ± 4.1 | 24.7 ± 3.1 |
200 | 174.2 ± 13.3** | 22.7 ± 2.0 | 80.5 ± 6.1 | 38.1 ± 9.2 | 42.4 ± 3.1 | 21.6 ± 3.1 |
300 | 163.7 ± 14.3** | 19.1 ± 1.0 | 59.0 ± 4.1 | 51.3 ± 8.2 | 37.9 ± 3.1 | 31.5 ± 4.1 |
400 | 160.1 ± 18.4** | 24.5 ± 3.1 | 76.8 ± 6.1 | 57.7 ± 11.3 | 42.2 ± 4.1 | 30.6 ± 4.1 |
500 | 157.5 ± 14.3** | 30.3 ± 5.1 | 51.2 ± 3.1 | 42.5 ± 8.2 | 31.3 ± 3.1 | 29.1 ± 6.1 |
600 | 165.4 ± 18.4** | 21.7 ± 2.0 | 108.9 ± 9.2 | 61.7 ± 11.3 | 42.4 ± 4.1 | 31.8 ± 3.1 |
700 | 105.0 ± 15.4 | 58.5 ± 12.3 | 77.7 ± 6.1 | 67.1 ± 11.3 | 41.1 ± 3.1 | 38.4 ± 4.1 |
800 | 105.1 ± 12.3 | 19.9 ± 1.0 | 81.2 ± 6.1 | 56.8 ± 10.2 | 49.1 ± 7.2 | 40.9 ± 7.2 |
900 | 114.1 ± 11.3 | 29.9 ± 3.1 | 96.9 ± 7.2 | 57.4 ± 9.2 | 65.4 ± 4.1 | 41.9 ± 5.1 |
1000 | 167.5 ± 11.3** | 22.3 ± 2.0 | 91.9 ± 6.1 | 63.9 ± 10.2 | 53.1 ± 4.1 | 44.5 ± 8.2 |
1100 | 157.7 ± 12.3** | 19.4 ± 2.0 | 86.7 ± 7.2 | 59.1 ± 9.2 | 55.6 ± 3.1 | 50.4 ± 8.2 |
1200 | 154.0 ± 12.3** | 24.5 ± 2.0 | 100.8 ± 7.2 | 55.3 ± 9.2 | 56.9 ± 3.1 | 44.0 ± 7.2 |
1300 | 114.5 ± 15.4 | 22.3 ± 2.0 | 98.1 ± 6.1 | 54.0 ± 7.2 | 64.3 ± 4.1 | 61.9 ± 1.0 |
1400 | 109.5 ± 17.4 | 17.7 ± 1.0 | 83.9 ± 5.1 | 52.0 ± 7.2 | 59.3 ± 3.1 | 40.9 ± 6.1 |
1500 | 101.5 ± 16.4 | 19 ± 2.0 | 82.0 ± 6.1 | 45.8 ± 7.2 | 60.4 ± 4.1 | 32.4 ± 4.1 |
1600 | 104.1 ± 16.4 | 32.7 ± 3.1 | 71.3 ± 5.1 | 62.5 ± 7.2 | 56.2 ± 3.1 | 48.9 ± 6.1 |
NMDA evokes delta (δ) oscillation
NMDA (1 mM) selectively increased δ LFP power only in the upper layers (100–700 µm; Fig. 4a; Table 1) however, activity in the θ range were simultaneously suppressed (Fig. 4b). Similar suppression was observed in the α and β ranges as well (e.g. at 600 µm cortical depth reductions were 58.8 ± 1.2 and 44.9 ± 1.7% of baseline, respectively). This characteristic increase in the δ was identified as a ~2.5 Hz δ oscillation) down to 600 µm (Fig. 5a). CSD analysis identifying the contributing sinks and sources of cortical extracellular currents showed that NMDA (1 mM) altered significantly the size of the sinks and sources (Fig. 5b) causing the activation first in layer I. then layer II/III and IV. This NMDA-induced activation was δ band-limited.
Neuronal spiking in response to graded hypercapnia and NMDA
All recorded neurons (n = 149; total spike count = 152,089) fired with low frequency (~0.3–3 Hz, Fig. 6a–e). The ACGs identified major neuronal types of the parietal cortex such as interneurons (Fig. 6a), bursting (Fig. 6bde) and regular spiking pyramidal cells (Fig. 6c). CCGs helped to identify the most characteristic cell connections that were typically excitatory with 3–4 ms latency (Fig. 6g–i). We observed only a few inhibitory connections or reciprocal excitation/inhibition between the cells (Fig. 6h).
Graded hypercapnia and NMDA increased spiking activity mainly in the II/III. and IV. layers down to 900 µm. Increased firing allowed more precise identification of interneuronal connections, from the total 164 connections 71% have been associated with layer II/III including intralaminar connections as well. Under the first hypercapnia the recorded spike counts were much higher compared to baseline condition (5% CO2: 36,245 spikes, 146/149 active cells; 10% CO2: 24,043 spikes, 142/149 active cells). In the subsequent normocapnic period the spiking activity has returned almost to the baseline activity (19,443 spikes, 133/149 active cells). NMDA (1 mM) suppressed neuronal activity in ~60% of neurons, the number of active cells dropped to 73/149, but the remaining ~40% of neurons were excited that total spike count remained similar to the baseline (15,400 spikes). During the second hypercapnia, few cells remained responsive CO2 (5% CO2: 41/149 active cells, 8985 spikes; 10% CO2: 17/149 active cells, 5130 spikes).
Discussion
The major novel findings of the present study are the following: (1) Graded hypercapnia elicits repeatable, concentration-dependent increases in CoBF that was attenuated by topical application of NMDA. (2) The attenuation of the hemodynamic response to hypercapnia after NMDA was prevented fully by MK-801 and partially by AAAN indicating an exclusive role for the NMDA receptor and a significant role for nNOS activation in mediating this response. (3) The attenuated cerebrovascular response after NMDA was associated with an altered electrophysiological response to hypercapnia, more specifically, the increased PSD in the δ and θ bands of the LFP was greatly attenuated. (4) NMDA, however, was shown to elicit strong, ~2.5 Hz delta oscillations peaking at 5–700 μm from the cortical surface indicating the major cortical targets of topically applied NMDA.
The cortical microvascular response to NMDA
The newborn pig is an established translational large animal model of the term neonate, thus the study of cerebrocortical microvascular reactivity to various stimuli as well as its alterations following hypoxic/ischemic stress in this model are of great interest to investigative neonatology22,23. Accordingly, the closed cranial window/intravital microscopy technique has been used extensively to study the cerebrocortical microcirculation. NMDA-induced pial arteriolar vasodilation was indeed first described in this species24, later also confirmed in other species studied such as in rabbits25 and rats26. Based on its sensitivity to tetrodotoxin27 and nNOS inhibitors28,29, the mechanism of NMDA-induced pial arteriolar dilation has been accepted to be mediated by neuronal NO production in piglets and in most other experimental models30. The present study simultaneously confirms previous experimental findings but conflicts with the conclusions drawn in previous studies. In the present study nNOS inhibition by AAAN (0.4 mg/kg) resulted in a similar attenuation (~30–40%) of pial arteriolar dilation to NMDA to that found by Bari et al. using the nNOS inhibitor 7-nitroindazole (50 mg/kg)29. However, we now demonstrated that the attenuated arteriolar vasodilation to NMDA did not coincide with attenuated blood flow response in the underlying parenchyma, indeed the parenchymal flow response was virtually unchanged. We believe that the LSCI used in the present study to assess the cortical microvasculature gives a good estimate of the NMDA-induced microvascular response as our current results showing ~72% increase in CoBF to 1 mM NMDA are in complete agreement with our previous study displaying virtually identical increases in CoBF to this dose of NMDA using laser-Doppler flowmetry6. Our results suggest that dilation of intraparenchymal arterioles plays a more decisive role in determining the CoBF response and can compensate for the somewhat smaller pial arteriolar dilation in response to NMDA when nNOS activity is compromised. This finding is in contrast with data obtained in the adult rat, where also the CoBF response to NMDA applied was demonstrated to be critically dependent on nNOS presence and activity31, and this difference may well represent a species/age-dependent difference. Clearly, additional vasodilatory mechanisms acting perhaps predominantly on intraparenchymal vessels must play a role in mediating the observed increases in CoBF to NMDA in the piglet that can be subject to further research. One such mediator could be adenosine, as adenosine was proposed beside NO to contribute to the NMDA-induced CoBF response in the rat cerebral cortex based on microdialysis data32. In the piglet cortex, exogenous adenosine appeared to reduce the pial arteriolar response to NMDA33, this latter finding is conceivable presuming the adenosine may have had a predominant action of intraparenchymal arterioles that based on the present study can have responses largely independent of the pial vessels.
The cortical neuronal response to NMDA
The cortical microvascular response to NMDA in piglets is thought to be mediated by exclusive activation of neuronal NMDA receptors based on two lines of evidence, isolated piglet cortical vessels do not respond to NMDA34, and functional NMDA receptors are not expressed in cerebrovascular endothelial cells or microvessels isolated either from rats, humans or piglets35,36. However, recent work suggests that in mice abluminally localized endothelial NMDA receptors can contribute to functional hyperemia37,38. Unlike the painstakingly analyzed pial arteriolar response to NMDA, the changes in neuronal activity in response to topically applied NMDA were hardly tackled. Topically applied NMDA was demonstrated to elicit an SD characterized by the signature SD-related DC potential shift simultaneously with pial arteriolar changes in adult mice, and the NMDA effect was found concentration-independently linked to the evoked SD5. In a subsequent adult rat study, topical NMDA was indeed found to also elicit an SD, but the CoBF response after the SD-related hemodynamic response demonstrated additionally also an NMDA-dose dependent component6. The same experimental approach in piglets found only a dose-dependent CoBF response without any confounding SDs6. Immunohistochemistry studies in the piglet parietal cortex identified layers II/III as the major site of nNOS-immunoreactive neurons and as these superficial cortical layers were also rich in NMDA-receptor immunoreactive nerve cells33, they were accordingly assumed to be responsible for the observed effects of NMDA. Our present study is essentially the first that studied the electrophysiological response simultaneously in all cortical layers to topically applied NMDA. Our present findings identified not only the most superficial, but also much deeper cortical structures to be affected by topical NMDA. Thus, the NMDA-induced intense 2.5 Hz δ-oscillation have been found most prominent at 6–800 μm from the cortical surface suppressing LFP power in virtually all other frequency bands. NMDA also had opposing effects on neuronal firing, it suppressed or stimulated spiking in different neuronal populations. We found that after NMDA, the LFP powers were restored to baseline levels, and also no abnormal spikes were recorded during/after NMDA application suggesting that significant excitotoxic lesion to the cortex did not occur during NMDA stimulation. This notion is in accordance with previous findings showing that the neurovascular response to topical NMDA is preserved in piglets (four applications in a 5 hours period)39. These results correspond well both with the previous observations of SD-triggering and also with the tetrodotoxin-sensitive actions of topical NMDA application.
NMDA triggers SD-like suppression of the microvascular response to hypercapnia
The cortical microvascular response to graded hypercapnia has been extensively studied in the piglet, but few experiments assessed pial arteriolar diameter and CoBF changes simultaneously40. In this study40, both responses were unaltered by the general NOS inhibitor Nω-nitro-L-arginine methyl ester, indicating that NO plays minor role in the mediation of this response in the newborn pig. This NO-independence appears to be age-restricted in the pig, the pial arteriolar response to hypercapnia has also been shown to be NO-independent in newborns, but to be partially NO-dependent in juvenile (3–4 months old) pigs41,42. In the rat, the soluble guanylate cyclase inhibitor 1 H-[1,2,4]oxadiazolo[4,4,-a]quinoxalin-1-one (ODQ) had also no effect on the response to hypercapnia but to NMDA43. However, a number of rat studies emphasize the role of nNOS-derived NO in the CoBF response to hypercapnia44,45. In accordance with previous newborn pig studies, the nNOS inhibitor AAAN had no effect on the cortical microvascular response to graded hypercapnia in the present study.
The pial arteriolar response to graded hypercapnia has been known to be vulnerable to hypoxic/ischemic stress46, endothelial injury47, or seizures48 making the response a good indicator of neurovascular unit dysfunction. SDs are also known to attenuate the microvascular response to hypercapnia in adult brains2–4. In the piglet cortex bona fide SDs of course could not be generated, however, an artificially induced 3-min long cortical depolarization (elicited with topical KCl and confirmed with DC recording) did not affect the microvascular response to hypercapnia and other assessed stimuli49. In contrast, in the present study, NMDA attenuated the response to graded hypercapnia in the newborn cerebral cortex that is similar to that observed after SD in adult cortex. The microvascular alteration appears to be independent of the direct hemodynamic effect of NMDA-receptor activation but its mechanism appears to involve nNOS activity. However, generalization of our findings to the adult cerebral cortex is prevented by the apparent limitations of developmental differences that actually prevent the triggering of SD in the neonatal brain.
In the present study, we just started to decipher the connections between the well-known cerebrovascular effects of hypercapnia and NMDA and the virtually uncharted neuronal effects of these stimuli in the cerebral cortex of the newborn pig. Using multi-channel silicone probes to study LFP and unit activity changes are widely used in the literature50,51, although for instance interpretation of LFP data is difficult due to the many sources contributing to the mixed signal52,53. There is very little information available about the LFP54 or the unit activity55 of the adult pig cerebral cortex let alone of the newborn piglet. Our current findings show layer-specific and concentration-dependent effects of hypercapnia on both the LFP and unit activity that are clearly altered after NMDA. Presently, we cannot make causative statements whether alterations in the neuronal response trigger the observed changes in microvascular reactivity or perhaps vice versa, however, our results are strongly indicating that the mechanism of NMDA-induced attenuation of the microvascular response is not likely to be limited to the cerebral vasculature. NMDA has been also shown to suppress all frequency bands of the LFP (similar to an SD in adult or old rats56–58), but it also triggered a 2.5 Hz delta-oscillation. The origin of the arising delta-oscillation is still not clear, however it has been described earlier that these oscillations can be evoked by topical stimulations and different cell types can generate abnormal oscillations in the cortex as well59–62. Furthermore, spiking was also suppressed in some, but triggered in other units during NMDA. Again, we cannot determine the significance of these observations in the attenuation of microvascular response to hypercapnia, however, we can hypothesize that different components of the electrophysiological response to NMDA could be responsible for the attenuation of microvascular reactivity to hypercapnia and for the developing marked CoBF response. Clearly, further studies are warranted to identify the neuronal-vascular mechanisms selectively responsible for either effect of topically applied NMDA.
In conclusion, NMDA triggers microvascular dysfunction in the piglet cerebral cortex similar to but not confounded by SD. Understanding the mechanism of this novel observation may help to elucidate the deleterious effects of SD on the neurovascular unit.
Acknowledgements
We thank the technical and methodological support to Antal Berényi and Gábor Kozák. This work was supported by grants from the Hungarian Brain Research Program 2.0 (2017-2.1 NKP 2017 00002), the EU-funded Hungarian grant EFOP-3.6.1-16-2016-00008 and the GINOP 2.3.2 15 2016 00034. V.K. is supported by OTKA-PD128464 from the NRDI.
Author contributions
G.R. designed the project, conducted experiments, analysis and interpretation of the hemodynamic and electrophysiological data, statistical analyses, wrote the manuscript. J.N. designed the project, conducted experiments, analysis and interpretation of the hemodynamic data, reviewed the manuscript. V.T.-S. conducted animal experiments, analyzed hemodynamic, reviewed the manuscript. V.V. conducted in vivo experiments, reviewed the manuscript. V.K. conducted experiments, reviewed the manuscript. F.D.: drafted and designed the project, drafting, writing and critically revising the manuscript.
Data availability
The datasets generated during the current study are available from the corresponding author on reasonable request.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Hartings JA, et al. The continuum of spreading depolarizations in acute cortical lesion development: Examining Leão’s legacy. J. Cereb. Blood Flow Metab. 2017;37:1571–1594. doi: 10.1177/0271678X16654495. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Piper RD, Lambert GA, Duckworth JW. Cortical blood flow changes during spreading depression in cats. Am. J. Physiol. 1991;261:H96–102. doi: 10.1152/ajpheart.1991.261.1.H96. [DOI] [PubMed] [Google Scholar]
- 3.Lacombe P, Sercombe R, Correze JL, Springhetti V, Seylaz J. Spreading depression induces prolonged reduction of cortical blood flow reactivity in the rat. Exp. Neurol. 1992;117:278–286. doi: 10.1016/0014-4886(92)90137-F. [DOI] [PubMed] [Google Scholar]
- 4.Unekawa M, et al. Dynamic diameter response of intraparenchymal penetrating arteries during cortical spreading depression and elimination of vasoreactivity to hypercapnia in anesthetized mice. J. Cereb. Blood Flow Metab. 2016;37:657–670. doi: 10.1177/0271678X16636396. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Ayata C, Moskowitz MA. Cortical spreading depression confounds concentration-dependent pial arteriolar dilation during N-methyl-D-aspartate superfusion. AJP Hear. Circ. Physiol. 2006;290:H1837–H1841. doi: 10.1152/ajpheart.01102.2005. [DOI] [PubMed] [Google Scholar]
- 6.Lenti L, et al. N-methyl-D-aspartate induces cortical hyperemia through cortical spreading depression-dependent and -independent mechanisms in rats. Microcirculation. 2009;16:629–639. doi: 10.1080/10739680903131510. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Marrannes R, Willems R, De Prins E, Wauquier A. Evidence for a role of the N-methyl-d-aspartate (NMDA) receptor in cortical spreading depression in the rat. Brain Res. 1988;457:226–240. doi: 10.1016/0006-8993(88)90690-7. [DOI] [PubMed] [Google Scholar]
- 8.Lauritzen M, Hansen AJ. The effect of glutamate receptor blockade on anoxic depolarization and cortical spreading depression. J. Cereb. Blood Flow Metab. 1992;12:223–229. doi: 10.1038/jcbfm.1992.32. [DOI] [PubMed] [Google Scholar]
- 9.Nemeth J, et al. Molecular hydrogen affords neuroprotection in a translational piglet model of hypoxic-ischemic encephalopathy. J. Physiol. Pharmacol. 2016;67:677–689. [PubMed] [Google Scholar]
- 10.Kovács V, et al. Active forms of Akt and ERK are dominant in the cerebral cortex of newborn pigs that are unaffected by asphyxia. Life Sci. 2018;192:1–8. doi: 10.1016/j.lfs.2017.11.015. [DOI] [PubMed] [Google Scholar]
- 11.Laptook AR, Stonestreet BS, Oh W. The effect of carotid artery ligation on brain blood flow in newborn piglets. Brain Res. 1983;276:51–54. doi: 10.1016/0006-8993(83)90547-4. [DOI] [PubMed] [Google Scholar]
- 12.Domoki F, et al. Comparison of cerebrocortical microvascular effects of different hypoxic-ischemic insults in piglets: A laser-speckle imaging study. J. Physiol. Pharmacol. 2014;65:551–558. [PubMed] [Google Scholar]
- 13.Ji H, et al. Selective neuronal nitric oxide synthase inhibitors and the prevention of cerebral palsy. Ann. Neurol. 2009;65:209–217. doi: 10.1002/ana.21555. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Domoki F, et al. Evaluation of laser-speckle contrast image analysis techniques in the cortical microcirculation of piglets. Microvasc. Res. 2012;83:311–317. doi: 10.1016/j.mvr.2012.01.003. [DOI] [PubMed] [Google Scholar]
- 15.Hazan L, Zugaro M, Buzsáki G. Klusters, NeuroScope, NDManager: A free software suite for neurophysiological data processing and visualization. J. Neurosci. Methods. 2006;155:207–216. doi: 10.1016/j.jneumeth.2006.01.017. [DOI] [PubMed] [Google Scholar]
- 16.Kadir SN, Goodman DFM, Harris KD. High-Dimensional Cluster Analysis with the Masked EM Algorithm. Neural Comput. 2014;26:2379–2394. doi: 10.1162/NECO_a_00661. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Rossant C, et al. Spike sorting for large, dense electrode arrays. Nat. Neurosci. 2016;19:634–641. doi: 10.1038/nn.4268. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Csicsvari J, Hirase H, Czurko A. Reliability and State Dependence of Pyramidal Cell – Interneuron Synapses in the Hippocampus: an Ensemble Approach in the Behaving Rat. Neuron. 1998;21:179–189. doi: 10.1016/S0896-6273(00)80525-5. [DOI] [PubMed] [Google Scholar]
- 19.Mizuseki K, Sirota A, Pastalkova E, Buzsáki G. Theta Oscillations Provide Temporal Windows for Local Circuit Computation in the Entorhinal-Hippocampal Loop. Neuron. 2008;64:267–280. doi: 10.1016/j.neuron.2009.08.037. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Stark E, et al. Pyramidal cell-interneuron interactions underlie hippocampal ripple oscillations. Neuron. 2014;83:467–480. doi: 10.1016/j.neuron.2014.06.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Barthó P, et al. Characterization of Neocortical Principal Cells and Interneurons by Network Interactions and Extracellular Features. J. Neurophysiol. 2004;92:600–608. doi: 10.1152/jn.01170.2003. [DOI] [PubMed] [Google Scholar]
- 22.Alonso-Alconada D, et al. Brain cell death is reduced with cooling by 3.5 °C to 5 °C but increased with cooling by 8.5 °C in a piglet asphyxia model. Stroke. 2015;46:275–278. doi: 10.1161/STROKEAHA.114.007330. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Sabir H, et al. Xenon depresses aEEG background voltage activity whilst maintaining cardiovascular stability in sedated healthy newborn pigs. J. Neurol. Sci. 2016;363:140–144. doi: 10.1016/j.jns.2016.02.051. [DOI] [PubMed] [Google Scholar]
- 24.Busija DW, Leffler CW. Dilator effects of amino acid neurotransmitters on piglet pial arterioles. Am. J. Physiol. Circ. Physiol. 1989;257:H1200–H1203. doi: 10.1152/ajpheart.1989.257.4.H1200. [DOI] [PubMed] [Google Scholar]
- 25.Faraci FM, Breese KR. Nitric oxide mediates vasodilatation in response to activation of N- methyl-D-aspartate receptors in brain. Circ. Res. 1993;72:476–480. doi: 10.1161/01.RES.72.2.476. [DOI] [PubMed] [Google Scholar]
- 26.Mayhan WG, Didion SP. Acute Effects of Ethanol on Responses of Cerebral Arterioles. Stroke. 1995;26:2097–2102. doi: 10.1161/01.STR.26.11.2097. [DOI] [PubMed] [Google Scholar]
- 27.Leffler CW, Parfenova H, Fedinec AL, Tcheranova D, Basuroy S. Contributions of astrocytes and CO to pial arteriolar dilation to glutamate in newborn pigs. Am. J. Physiol. Circ. Physiol. 2006;291:H2897–H2904. doi: 10.1152/ajpheart.00722.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Meng W, Tobin JR, Busija DW. Glutamate-Induced Cerebral Vasodilation Is Mediated by Nitric Oxide Through N-Methyl-D-Aspartate Receptors. Stroke. 1995;26:857–863. doi: 10.1161/01.STR.26.5.857. [DOI] [PubMed] [Google Scholar]
- 29.Bari F, Errico RA, Louis TM, Busija DW. Interaction between ATP-sensitive K+ channels and nitric oxide on pial arterioles in piglets. J. Cereb. Blood Flow Metab. 1996;16:1158–1164. doi: 10.1097/00004647-199611000-00010. [DOI] [PubMed] [Google Scholar]
- 30.Busija DW, Bari F, Domoki F, Louis T. Mechanisms Involved in the Cerebrovascular Dilator Effects of N- methyl-D-aspartate in Cerebral Cortex. Brain Res. Rev. 2007;56:89–100. doi: 10.1016/j.brainresrev.2007.05.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Girouard H, et al. NMDA receptor activation increases free radical production through Nitric Oxide and NOX2. J. Neurosci. 2009;29:2545–2552. doi: 10.1523/JNEUROSCI.0133-09.2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Kaiser MG, During MJ. Combining laser doppler flowmetry with microdialysis: a novel approach to investigate the coupling of regional cerebral blood flow to neuronal activity. J. Neurosci. Methods. 1995;60:165–173. doi: 10.1016/0165-0270(95)00008-I. [DOI] [PubMed] [Google Scholar]
- 33.Bari F, Thore CR, Louis TM, Busija DW. Inhibitory effects of hypoxia and adenosine on N-methyl-D-aspartate-induced pial arteriolar dilation in piglets. Brain Res. 1998;780:237–244. doi: 10.1016/S0006-8993(97)01196-7. [DOI] [PubMed] [Google Scholar]
- 34.Simandle SA, et al. Piglet pial arteries respond to N-methyl-D-aspartate in vivo but not in vitro. Microvasc. Res. 2005;70:76–83. doi: 10.1016/j.mvr.2005.04.007. [DOI] [PubMed] [Google Scholar]
- 35.Morley P, et al. Evidence that Functional Glutamate Receptors are not Expressed on Rat or Human Cerebromicrovascular Endothelial Cells. J. Cereb. Blood Flow Metab. 1998;18:396–406. doi: 10.1097/00004647-199804000-00008. [DOI] [PubMed] [Google Scholar]
- 36.Domoki F, Kis B, Gáspár T, Bari F, Busija DW. Cerebromicrovascular endothelial cells are resistant to L-glutamate. Am. J. Physiol. Integr. Comp. Physiol. 2008;295:R1099–R1108. doi: 10.1152/ajpregu.90430.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Lu L, et al. Astrocytes drive cortical vasodilatory signaling by activating endothelial NMDA receptors. J. Cereb. Blood Flow Metab. 2019;39:481–496. doi: 10.1177/0271678X17734100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Hogan-Cann AD, Lu P, Anderson CM. Endothelial NMDA receptors mediate activitydependent brain hemodynamic responses in mice. Proc. Natl. Acad. Sci. USA. 2019;116:10229–10231. doi: 10.1073/pnas.1902647116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Busija D. W., Meng W., Bari F., McGough P. S., Errico R. A., Tobin J. R., Louis T. M. Effects of ischemia on cerebrovascular responses to N-methyl-D-aspartate in piglets. American Journal of Physiology-Heart and Circulatory Physiology. 1996;270(4):H1225–H1230. doi: 10.1152/ajpheart.1996.270.4.H1225. [DOI] [PubMed] [Google Scholar]
- 40.Domoki F, Zimmermann A, Tóth-Szűki V, Busija DW, Bari F. Acetazolamide induces indomethacin and ischaemia-sensitive pial arteriolar vasodilation in the piglet. Acta Paediatr. 2008;97:280–284. doi: 10.1111/j.1651-2227.2007.00615.x. [DOI] [PubMed] [Google Scholar]
- 41.Willis AP, Leffler CW. NO and prostanoids: Age dependence of hypercapnia- and histamine- induced dilations of pig pial arterioles. Am. J. Physiol. - Hear. Circ. Physiol. 1999;277:299–307. doi: 10.1152/ajpheart.1999.277.1.H299. [DOI] [PubMed] [Google Scholar]
- 42.Willis AP, Leffler CW. Endothelial NO and prostanoid involvement in newborn and juvenile pig pial arteriolar vasomotor responses. Am. J. Physiol. - Hear. Circ. Physiol. 2001;281:2366–2377. doi: 10.1152/ajpheart.2001.281.6.H2366. [DOI] [PubMed] [Google Scholar]
- 43.Rosenblum WI, Wei EP, Kontos HA. Dilation of rat brain arterioles by hypercapnia in vivo can occur even after blockade of guanylate cyclase by ODQ. Eur. J. Pharmacol. 2002;448:201–206. doi: 10.1016/S0014-2999(02)01935-0. [DOI] [PubMed] [Google Scholar]
- 44.Iadecola C. Does nitric oxide mediate the increases in cerebral blood flow elicited by hypercapnia? Proc. Natl. Acad. Sci. USA. 1992;89:3913–3916. doi: 10.1073/pnas.89.9.3913. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Wang Q, Pelligrino DA, Baughman VL, Koenig HM, Albrecht RF. The role of neuronal nitric oxide synthase in regulation of cerebral blood flow in normocapnia and hypercapnia in rats. J. Cereb. Blood Flow Metab. 1995;15:774–778. doi: 10.1038/jcbfm.1995.97. [DOI] [PubMed] [Google Scholar]
- 46.Leffler CW, Busija DW, Armstead WM, Mirro R, Beasley DG. Ischemia Alters Cerebral Vascular Responses to Hypercapnia and Acetylcholine in Piglets. Pediatr. Res. 1989;25:180–183. doi: 10.1203/00006450-198902000-00020. [DOI] [PubMed] [Google Scholar]
- 47.Leffler CW, Mirro R, Shanklin DR, Armstead WM, Shibata M. Light/dye microvascular injury selectively eliminates hypercapnia-induced pial arteriolar dilation in newborn pigs. Am. J. Physiol. Circ. Physiol. 1994;266:H623–H630. doi: 10.1152/ajpheart.1994.266.2.H623. [DOI] [PubMed] [Google Scholar]
- 48.Carratu P, Pourcyrous M, Fedinec A, Leffler CW, Parfenova H. Endogenous heme oxygenase prevents impairment of cerebral vascular functions caused by seizures. Am. J. Physiol. Circ. Physiol. 2003;285:H1148–H1157. doi: 10.1152/ajpheart.00091.2003. [DOI] [PubMed] [Google Scholar]
- 49.Domoki F, Veltkamp R, Bari F, Louis TM, Busija DW. Cerebrovascular reactivity remains intact after cortical depolarization in newborn piglets. Pediatr. Res. 1999;45:834–837. doi: 10.1203/00006450-199906000-00009. [DOI] [PubMed] [Google Scholar]
- 50.Berényi A, et al. Large-scale, high-density (up to 512 channels) recording of local circuits in behaving animals. J. Neurophysiol. 2014;111:1132–1149. doi: 10.1152/jn.00785.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Fiáth R, et al. Laminar analysis of the slow wave activity in the somatosensory cortex of anesthetized rats. Eur. J. Neurosci. 2016;44:1935–1951. doi: 10.1111/ejn.13274. [DOI] [PubMed] [Google Scholar]
- 52.Buzsáki G, Anastassiou CA, Koch C. The origin of extracellular fields and currents-EEG, ECoG, LFP and spikes. Nat. Rev. Neurosci. 2012;13:407–420. doi: 10.1038/nrn3241. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Einevoll GT, Kayser C, Logothetis NK, Panzeri S. Modelling and analysis of local field potentials for studying the function of cortical circuits. Nat. Rev. Neurosci. 2013;14:770–785. doi: 10.1038/nrn3599. [DOI] [PubMed] [Google Scholar]
- 54.Tanosaki M, Ishibashi H, Zhang T, Okada Y. Effective Connectivity Maps in the Swine Somatosensory Cortex Estimated from Electrocorticography and Validated with Intracortical Local Field Potential Measurements. Brain Connect. 2014;4:100–111. doi: 10.1089/brain.2013.0177. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Ulyanova AV, et al. Electrophysiological Signature Reveals Laminar Structure of the Porcine Hippocampus. Eneuro. 2018;5:ENEURO.0102–18.2018. doi: 10.1523/ENEURO.0102-18.2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Hertelendy P, et al. Advancing age and ischemia elevate the electric threshold to elicit spreading depolarization in the cerebral cortex of young adult rats. J. Cereb. Blood Flow Metab. 2017;37:1763–1775. doi: 10.1177/0271678X16643735. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Menyhárt Á, et al. High incidence of adverse cerebral blood flow responses to spreading depolarization in the aged ischemic rat brain. Neurobiol. Aging. 2015;36:3269–3277. doi: 10.1016/j.neurobiolaging.2015.08.014. [DOI] [PubMed] [Google Scholar]
- 58.Makra P, Menyhárt Á, Bari F, Farkas E. Spectral and Multifractal Signature of Cortical Spreading Depolarisation in Aged Rats. Front. Physiol. 2018;9:1–12. doi: 10.3389/fphys.2018.01512. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Kiss T, Feng J, Hoffmann WE, Shaffer CL, Hajós M. Rhythmic theta and delta activity of cortical and hippocampal neuronal networks in genetically or pharmacologically induced N-methyl-d-aspartate receptor hypofunction under urethane anesthesia. Neuroscience. 2013;237:255–267. doi: 10.1016/j.neuroscience.2013.01.058. [DOI] [PubMed] [Google Scholar]
- 60.Gireesh ED, Plenz D. Neuronal avalanches organize as nested theta- and beta/gamma-oscillations during development of cortical layer 2/3. Proc. Natl. Acad. Sci. 2008;105:7576–7581. doi: 10.1073/pnas.0800537105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Minlebaev M, Ben-Ari Y, Khazipov R. NMDA receptors pattern early activity in the developing barrel cortex in vivo. Cereb. Cortex. 2009;19:688–696. doi: 10.1093/cercor/bhn115. [DOI] [PubMed] [Google Scholar]
- 62.Matulewicz P, Orzeł-Gryglewska J, Kuśmierczak M, Jurkowlaniec E. NMDA-glutamatergic activation of the ventral tegmental area induces hippocampal theta rhythm in anesthetized rats. Brain Res. Bull. 2014;107:43–53. doi: 10.1016/j.brainresbull.2014.06.001. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The datasets generated during the current study are available from the corresponding author on reasonable request.