Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Real-Time Optical Diagnosis of the Rat Brain Exposed to a Laser-Induced Shock Wave: Observation of Spreading Depolarization, Vasoconstriction and Hypoxemia-Oligemia

  • Shunichi Sato ,

    shunsato@ndmc.ac.jp

    Affiliation Division of Biomedical Information Sciences, National Defense Medical College Research Institute, Tokorozawa, Saitama, Japan

  • Satoko Kawauchi,

    Affiliation Division of Biomedical Information Sciences, National Defense Medical College Research Institute, Tokorozawa, Saitama, Japan

  • Wataru Okuda,

    Affiliation Graduate School of Bio-Application and Systems Engineering, Tokyo University of Agriculture and Technology, Koganei, Tokyo, Japan

  • Izumi Nishidate,

    Affiliation Graduate School of Bio-Application and Systems Engineering, Tokyo University of Agriculture and Technology, Koganei, Tokyo, Japan

  • Hiroshi Nawashiro,

    Affiliation Division of Neurosurgery, Tokorozawa Central Hospital, Tokorozawa, Saitama, Japan

  • Gentaro Tsumatori

    Affiliation Department of Defense Medicine, National Defense Medical College, Tokorozawa, Saitama, Japan

Correction

9 Apr 2014: The PLOS ONE Staff (2014) Correction: Real-Time Optical Diagnosis of the Rat Brain Exposed to a Laser-Induced Shock Wave: Observation of Spreading Depolarization, Vasoconstriction and Hypoxemia-Oligemia. PLOS ONE 9(4): e95067. https://doi.org/10.1371/journal.pone.0095067 View correction

Abstract

Despite many efforts, the pathophysiology and mechanism of blast-induced traumatic brain injury (bTBI) have not yet been elucidated, partially due to the difficulty of real-time diagnosis and extremely complex factors determining the outcome. In this study, we topically applied a laser-induced shock wave (LISW) to the rat brain through the skull, for which real-time measurements of optical diffuse reflectance and electroencephalogram (EEG) were performed. Even under conditions showing no clear changes in systemic physiological parameters, the brain showed a drastic light scattering change accompanied by EEG suppression, which indicated the occurrence of spreading depression, long-lasting hypoxemia and signal change indicating mitochondrial energy impairment. Under the standard LISW conditions examined, hemorrhage and contusion were not apparent in the cortex. To investigate events associated with spreading depression, measurement of direct current (DC) potential, light scattering imaging and stereomicroscopic observation of blood vessels were also conducted for the brain. After LISW application, we observed a distinct negative shift in the DC potential, which temporally coincided with the transit of a light scattering wave, showing the occurrence of spreading depolarization and concomitant change in light scattering. Blood vessels in the brain surface initially showed vasodilatation for 3–4 min, which was followed by long-lasting vasoconstriction, corresponding to hypoxemia. Computer simulation based on the inverse Monte Carlo method showed that hemoglobin oxygen saturation declined to as low as ∼35% in the long-term hypoxemic phase. Overall, we found that topical application of a shock wave to the brain caused spreading depolarization/depression and prolonged severe hypoxemia-oligemia, which might lead to pathological conditions in the brain. Although further study is needed, our findings suggest that spreading depolarization/depression is one of the key events determining the outcome in bTBI. Furthermore, a rat exposed to an LISW(s) can be a reliable laboratory animal model for blast injury research.

Introduction

There are many risks for humans to encounter blast or shock waves in military, industrial and even natural environments. Most seriously, terrorism using explosive devices has been increasing in recent years, resulting in a large number of patients suffering from blast-induced traumatic brain injury (bTBI) [1][3]. Many of them show no evident abnormality by conventional imaging diagnoses, such as MRI and X-ray CT, but are troubled with higher order brain dysfunction as well as post-traumatic stress disorder (PTSD) in the chronic phase, which is called mild bTBI (mbTBI) [4][7]. However, the pathophysiology and mechanism of blast-related TBI are not well understood. Natural blast or shock waves are caused by volcanic eruptions, lightning and meteorites. The recent explosion of a meteorite in Chelyabinsk, Russia resulted in injuries to more than one thousand people [8], and the outcomes of their injuries are unpredictable. Thus, comprehensive investigation is needed to establish methods for prevention, diagnosis and treatment of bTBI, for which experiments using animal models are needed.

It is known that complex effects are involved in bTBI. These effects include the effect of the blast wave itself (primary mechanism), the effect of missiles being propelled by the blast force (secondary mechanism), and the effect of impacts with other objects (tertiary mechanism) [9]. The secondary and tertiary mechanisms are relatively well understood and documented. On the other hand, the primary mechanism, the effect of the blast wave itself, has not been elucidated and would be closely associated with higher order brain dysfunction due to bTBI. In fluid dynamics, a blast wave means the pressure and flow resulting from an explosion-like event, which has a leading shock wave (shock front) followed by a wind of negative pressure [10]. All of the components of a blast wave can affect living tissue, but its shock wave component, which is characterized by an extremely fast pressure rise and high peak pressure, is considered to be most invasive. Thus, it is essential to use a real shock wave to investigate bTBI with animals. Standard TBI animal models, such as those produced by weight drop [11][16], fluid percussion [17][19] and controlled cortical impact [20], [21], are useful to study contusion-type TBI, but their pressure characteristics are totally different from those of real shock waves.

As real shock wave sources, micro actual explosions [22], shock [23][27]/blast [28] tubes, and air gun [29][31] have so far been used to study bTBI in laboratories. We have been proposing the use of laser-induced shock waves (LISWs) to investigate blast injuries. Satoh et al. first used LISWs to mimic blast-induced lung injury in mice [32]. Hatano et al. applied an LISW to the rat brain through a cranial window and analyzed the brain tissue histologically [33]. Advantages in using LISWs for bTBI study include safety, ease to use, compact device, versatility and highly controllable shock wave energy, both temporally and spatially. These characteristics enable many unique animal experiments that cannot be performed with other shock wave sources.

In this study, we performed real-time optical diagnosis of the rat brain that was exposed to an LISW. Simultaneously, electroencephalogram (EEG) was recorded and systemic physiological parameters were measured. Under the standard LISW conditions examined in this study, no clear changes were observed in systemic physiological parameters, and hemorrhage and contusion were not apparent in the cortex. However, the brain showed a drastic change in the light scattering signal, EEG suppression, long-lasting hypoxemia and signal change indicating mitochondrial energy impairment. The light scattering change accompanied by EEG suppression indicated the occurrence of spreading depression, and we examined related events to confirm this. We observed a distinct negative DC potential shift (spreading depolarization), time-dependent expansion of the hypoxemic region, and vasodilatation followed by long-lasting vasoconstriction. Computer simulation showed that hemoglobin oxygen saturation reached as low as ∼35% in the hypoxemic phase. In this paper, we describe the results of these multimodal real-time measurements for the rat whose brain was exposed to an LISW and discuss their cross-correlation.

Materials and Methods

The Ethics Committee of Animal Care and Experimentation, National Defense Medical College, Japan, approved all requests for animals and the intended procedures of the present study (Permission number: 10040). All animal experiments were performed under anesthesia, as described later, and all efforts were made to minimize suffering. After experiments, animals were sacrificed with an overdose of pentobarbital sodium (150 mg/kg i.p.).

Generation and characteristics of LISW

Figure 1A shows the method for generation of an LISW. A laser target, which is a laser-absorbing material (0.5-mm-thick natural black rubber disk) to which an optically transparent material (1.0-mm-thick transparent polyethyleneterephthalate sheet) is adhered, is placed on the tissue. The target is irradiated with a short laser pulse, which is absorbed by the rubber to induce a plasma, and its expansion is accompanied by a shock wave (LISW). The polyethyleneterephthalate (PET) sheet has a role to confine the plasma, by which peak pressure and impulse of the LISW can be increased. As a laser source, nanosecond pulsed laser is suitable, since its laser pulse temporally overlaps well with its own inducing plasma, by which the plasma can absorb the laser energy, causing an increase in plasma energy and hence pressure of the LISW. In this study, the second harmonics of a Q-switched Nd:YAG laser (Brilliant b, Quantel, Les Ulis Cedex, France; wavelength, 532 nm; pulse width, 6 ns) was used. The scheme used in this study was the same as those used for drug and gene delivery studies, where the pressure wave was synonymically called photomechanical wave (PMW) or laser-induced stress wave [34][39]. In those studies, excessive increase in the laser fluence and hence pressure caused tissue damage, which gave us an idea of using LISWs to investigate blast injuries.

thumbnail
Figure 1. Generation and characteristics of laser-induced shock wave (LISW).

(A) Setup for generating an LISW. (B) Typical temporal waveforms of LISWs generated at different laser fluences on the laser target. (C) Dependences of peak pressure and impulse of LISW on laser fluence.

https://doi.org/10.1371/journal.pone.0082891.g001

Figure 1B shows typical temporal pressure profiles of LISWs generated at different laser fluences on the target, which were measured with a needle type hydrophone (HNR-1000, Onda Co., Sunnyvale, CA) that was placed under the target. The waveforms are characterized by fast rise time, high peak pressure, short duration (a few hundreds of nanoseconds in FWHM) and positive pressure dominance. As described above, LISWs have high controllability of shock wave energy; the peak pressure and impulse linearly increase with increasing laser fluence (Fig. 1C) and the size of the wave source can easily be changed by changing the laser spot size on the target.

A common question about the use of LISWs to investigate blast injuries is the similarity with actual explosions. Peak pressures and durations of medically relevant actual explosions would be in the ranges of 100 kPa–1 MPa and 0.1 ms–10 ms, respectively [40]; the peak pressures are roughly three orders of magnitude higher, while the durations are three orders of magnitude shorter than those of LISWs. Thus, impulses (time-integrated positive pressures) of medically relevant actual explosions and LISWs used in this study are in the same order. Since the impulse is one of the primary factors to determine the degree of pressure-induced tissue damage [41], [42], we think that LISWs can be used to simulate TBIs induced by an actual explosion. If needed, however, the temporal characteristics of an LISW (pressure waveforms and duration) can be modified by the insertion of various materials between the laser target bottom surface and tissue surface.

Animal preparation and setup for LISW application, optical diagnosis and EEG measurement for the brain

A Sprague-Dawley male rat (Japan SLC, Hamamatsu, Japan) weighing 310 to 380 g was anesthetized with pentobarbital sodium (50 mg/kg animal weight) and placed in a stereotactic frame (Narishige, Tokyo, Japan). An LISW can be applied to the brain either through the scalp, transcranially or directly through a cranial window. In this study, transcranial application was used. After the head had been shaved, the scalp was incised at the midline and the parietal bone was exposed.

Figure 2A and 2B shows a photograph and schematic arrangement of the setup for the application of an LISW, optical diagnosis and EEG measurement for the brain. A laser target (rubber disk of 8 mm in diameter covered with a PET sheet) was held with forceps and placed in the anterior region of the parietal bone; ultrasound gel was used between the bottom of the rubber and skull for acoustic impedance matching. In most experiments described in this paper, laser spot size on the target and hence diameter of the LISW was kept constant at 4 mm. In the vicinity of the laser target, a pair of optical fibers (core diameter, 800 µm; center to center distance of fibers, 2 mm) was placed on the skull for optical diagnosis, and electrodes for EEG measurement (250-µm-diameter stainless steel needle type) were inserted in the skull. The distances from the edge of the LISW to the fibers and to the electrodes were approximately 2 mm and 3.5 mm, respectively. The optical diagnosis is described in detail in the next section.

thumbnail
Figure 2. Measurements of diffuse reflectance signals, EEG and systemic physiological parameters for the rat whose brain was exposed to an LISW.

(A) Photograph of setup and (B) schematic of sensor positions for measurements of diffuse reflectance signals and EEG for the brain. (C) Photograph showing sensor positions for pulse oximeter and blood pressure meter. (D) Positions of fiber pairs (ch1, ch2 and ch3) and LISW application for multichannel diffuse reflectance measurement of the brain.

https://doi.org/10.1371/journal.pone.0082891.g002

Real-time optical diagnosis of the rat brain

We performed fiber-based diffuse reflectance measurement for the brain; the method was similar to the methods used in our previous studies [43], [44]. Broadband (400–1000 nm) light from a tungsten lamp (BPS120, B&W Tek Inc., Newark, DE) was delivered to the brain through one of the fibers described above. The light penetrated through the skull and reached the cortex. A part of the diffused light in the cortex was captured with another fiber and it was transmitted to a polychromator (PMA-11, Hamamatsu Photonics, Hamamatsu, Japan). The diffused light includes information on scattering and absorption properties of the tissue; light scattering mainly reflects morphological characteristics of cells and organelles [45], while light is absorbed by chromophores in the tissue, such as hemoglobins and redox centers in cytochrome c oxidase (CcO) of the mitochondrial electron transport chain. Thus, information on morphological characteristics, hemodynamics and mitochondrial energy metabolism in the cortex can be obtained by spectroscopic analysis of the diffused light. Our Monte Carlo simulation showed that the cortex in the depth range of 0.8–1.5 mm can be analyzed by the present fiber configuration [43].

In this study, we observed light scattering signal at the wavelength of 805 nm (R805) in the near-infrared (NIR) region, where the reduced scattering coefficient of the gray matter is two orders of magnitude greater than the absorption coefficient [46] and, thus, morphological characteristics of the tissue can be measured with high contrast. As a signal of total hemoglobin concentration, we used the reflectance signal at 569 nm (R569), which is an isosbestic point of oxyhemoglobin and deoxyhemoglobin. This signal indicates regional cerebral blood volume (rCBV) with the assumption of a constant hematocrit value. To know the hemoglobin oxygenation level, the reflectance signal at 578 nm, where the absorption of oxyhemoglobin peaks, was normalized by the reflectance signal at 569 nm (R578/R569). To obtain information on the mitochondrial energy metabolism, optical absorption characteristics of heme aa3, a redox center of CcO, was used. There is an isosbestic point for reduced and oxidized heme aa3 at 620 nm, while absorption of reduced heme aa3 is maximized at 605 nm [47]. Thus, the reflectance signal at 605 nm that is normalized by the reflectance signal at 620 nm (R605/R620) can indicate the state of mitochondrial energy metabolism. The light scattering signal (R805) and signal indicating rCBV (R569) were normalized by the values before LISW application. All of these reflectance signals, as well as EEG signal, were simultaneously measured before, during and after application of an LISW to the brain.

Measurement of systemic physiological parameters

Simultaneously with the above-described optical and EEG measurements for the brain, systemic physiological parameters were measured for the rat (Fig. 2C). Arterial oxygen saturation (SpO2) was monitored with a pulse oximeter (8600 V, Nonin Medical, Inc., Plymouth, MN), for which the probe was attached to the forelimb. Heart rate and mean arterial pressure were measured with a noninvasive blood pressure monitor system (MK-2000ST, Muromachi, Tokyo, Japan), for which the sensor was placed at the root of the tail.

Observation of spreading depression-related events

As is described in Results, we observed a drastic change in the light scattering signal (R805) just after LISW application by fiber-based measurement. The scattering signal change was accompanied by EEG suppression, indicating the occurrence of spreading depression. Spreading depression means silencing of brain electrical activity as a consequence of spreading depolarization. Spreading depolarization is characterized by abrupt, near-complete sustained depolarization of neurons, which can be observed as a large change of DC potential or slow potential. It is known that spreading depression propagates over the cortex together with spreading depolarization [48].

To confirm the occurrence of spreading depolarization and its correlation with light scattering change, we measured DC potential and light scattering intensity. For DC potential measurement, a small hole (diameter of ∼2 mm) was made at about the same position as that for the EEG electrodes (Fig. 2B) and an electrode (1-mm-diameter Ag-AgCl ball type) was placed on the brain surface. For measurement of light scattering intensity, the brain was illuminated through the skull with NIR light emitted from a white light lamp (HL 100E, HOYA- Schott, Tokyo, Japan) with a bandpass filter (800±70 nm). Immediately after laser irradiation to generate an LISW (t = 0 s), the laser target was quickly removed and the diffusely reflected NIR light from the brain was imaged with an 8-bit CCD (XC-HR57, Sony, Tokyo, Japan). On the basis of the CCD image, light intensity in the region of interest (ROI) adjacent to the site of the electrode for DC potential measurement was integrated and its time course was compared with that of the DC potential. We also visualized propagation of a scattering wave, for which difference images, the image immediately after LISW application being subtracted from the image at time t, were made to enhance the contrast, creating a video movie of the scattering wave.

Furthermore, we observed vasculature response to LISW in the brain. The head of the rat was fixed with a stereotactic frame (Narishige, Tokyo, Japan) and a cranial window of 4 mm in diameter was made. The window was fitted with a 0.5-mm-thick optically transparent plastic (PET) disk of the same diameter, and its edge was sealed with dental cement (RelyX Unicem, 3M Deutschland, Neuss, Germany). The rat brain was placed under a stereoscopic microscope (SteREO Lumar.V12, Carl Zeiss, Jena, Germany) and blood vessels in the brain surface were observed with a high-resolution color CCD (AxioCam HRc, Carl Zeiss, Jena, Germany) before and after LISW application.

Spatiotemporal correlation between spreading depression and hypoxemia

We expected that spreading depolarization/depression (SD) caused hypoxemia in the brain and assumed that the region of hypoxemia expanded along with the propagation of SD. To examine this speculation, we assessed the spatiotemporal correlation between SD and hypoxemia for the brain, for which multichannel fiber-based diffuse reflectance measurement was performed. The laser target was placed on the frontal bone and three pairs of fibers, which were placed at positions with the different distances, 2.0 mm (ch1), 4.5 mm (ch2) and 7.0 mm (ch3), from the edge of the LISW source were used (Fig. 2D). Light from the same tungsten lamp was equally divided and coupled to three illumination fibers. Reflectance signals transmitted through the detection fibers were delivered to the polychromator through a mechanical optical switch (Fiber optical multimode switch MOL 1×4, LEONI Fiber Optics, Neuhaus-Schierschmitz, Germany). Time course of the value R578/R569 indicating hemoglobin oxygenation level was measured at the three positions, by which expansion speed for the region of hypoxemia was estimated.

Quantification of hemoglobin oxygen saturation

As described above, we monitored hemoglobin oxygenation level by fiber-based measurement, but it only gave information on relative change. Thus, on the basis of the measured diffuse reflectance data, we quantified hemoglobin oxygen saturation (StO2) by inverse Monte Carlo simulation (MCS). The method is described in detail in Ref. 44, but briefly, we used multiple regression analysis aided by MCS for the diffuse reflectance spectra. The measured reflectance spectrum R(λ) was first converted to an absorbance spectrum A(λ), which was defined as A(λ) = −log10R(λ). By using the absorbance spectrum as a response variable and extinction coefficients of oxygenated hemoglobin εHbO(λ) and deoxygenated hemoglobin εHbR(λ) as predictor variables, we performed multiple regression analysis, providing regression coefficients: αHbO, αHbR and α0. The coefficients αHbO and αHbR represent the degree of contribution of each extinction coefficient to the absorbance spectrum and the coefficient α0 is related to the degree of contribution of the attenuation due to light scattering in the brain to the absorbance spectrum. From these regression coefficients, the concentrations of oxygenated hemoglobin CHbO and deoxygenated hemoglobin CHbR and scattering amplitude a were determined by using conversion vectors that had been prepared numerically in advance. The scattering amplitude a is a proportional constant of reduced scattering coefficient μs′(λ) of brain tissue. By using these hemoglobin concentrations CHbO and CHbR, we obtained the value of hemoglobin oxygen saturation (StO2) based on the following equation: StO2 = CHbO/(CHbO+CHbR).

In this simulation, we found that optical properties of the skull greatly affected the results, while their accurate measurement is difficult in vivo. Thus, we made a separate optical measurement for the rat brain, for which we made a 1 mm×3 mm rectangular window in the skull and placed a pair of optical fibers directly on the cortex. A laser target was then placed in the vicinity of the window and was irradiated with a laser pulse to generate an LISW; the relative positions of the fiber and target were the same as those shown in Fig. 2B.

Results

Systemic physiology, EEG and diffuse reflectance signals for the brain

Figure 3 shows the results of measurements of systemic physiological parameters, EEG and diffuse reflectance signals for the rat whose brain was exposed to an LISW generated at a laser fluence of 1.0 J/cm2 (average peak pressure, ∼86 MPa; average impulse, ∼14 Pa•s) at time zero (t = 0). No remarkable change was observed in SpO2, blood pressure or heart rate (Fig. 3A–C), while drastic changes were observed in the signals measured for the brain. Scattering signal (R805) changed vigorously for about 4 min after LISW application (Fig. 3D), indicating drastic cellular and subcellular morphological changes at the site of measurement in the cortex. This was accompanied by suppression of the EEG for about 7 min (Fig. 3E). These observations indicate the occurrence of spreading depression. Its confirmation and results of the observation of related events are described later.

thumbnail
Figure 3. Results of measurements of systemic physiological parameters, EEG and diffuse reflectance signals for the brain.

Sensor positions for systemic physiological parameters (A–C), EEG (E) and diffuse reflectance signals (D, F–H) are shown in Fig. 2. A single pulse of LISW generated at 1.0 J/cm2 (φ4 mm; ∼86 MPa; ∼14 Pa•s) was applied to the brain at time zero. (A) Arterial oxygen saturation (SpO2). (B) Arterial blood pressure. (C) Heart rate. (D) Light scattering signal (diffuse reflectance signal at 805 nm, R805) indicating cellular and subcellular morphological changes. (E) EEG. The horizontal arrow indicates the duration of EEG suppression. (F) Total hemoglobin indicating regional cerebral blood volume (rCBV) (R569). The vertical dashed line indicates the turning point from hyperemia to oligemia. (G) Hemoglobin oxygenation (R578/R569). The vertical dashed line indicates the turning point from hyperoxemia to hypoxemia. The horizontal arrow indicates long-lasting hypoxemia. (H) Diffuse reflectance signal indicating reduction of heme aa3, a redox center of cytochrome c oxidase (R620/R605). The horizontal arrow indicates the duration of heme aa3 reduction.

https://doi.org/10.1371/journal.pone.0082891.g003

During a period of about 4 min after LISW application, the rCBV signal (R569) decreased (Fig. 3F), indicating an increase in total hemoglobin concentration and hence hyperemia, and the hemoglobin oxygenation signal (R578/R569) increased (Fig. 3G), indicating hyperoxemia. Thereafter, however, both signals began to change oppositely, showing a long-lasting (∼1.5 h) oligemia (Fig. 3F) and hypoxemia (Fig. 3G). In the same measurements for other rats, decreased rCBV and hypoxemia lasted for more than 1 h in many cases and for 3 h in the longest case. We also measured oxygen partial pressure with a Clark-type polarographic electrode (PO2eD-405DN, Bio Research Center, Nagoya, Japan) in the brain. Oxygen partial pressure decreased by ∼40% in the hypoxemic phase, indicating the occurrence of hypoxemic hypoxia in the brain (data not shown). Long-term hypoxemia or ischemia is known to be an important symptom in patients with bTBI [49]. The results of quantification of hemoglobin oxygen saturation are described later. About 1.5 min after LISW application, we also observed a decrease in the heme aa3-related signal, R605/R620, for ∼3 min (Fig. 3H), indicating reduction of heme aa3, a sign of mitochondrial energy impairment.

We performed the same measurements in the laser fluence range of 0.75–1.5 J/cm2, the corresponding average peak pressure and impulse ranges being ∼63–∼123 MPa and ∼9–∼23 Pa•s, respectively. After the measurements, brains were exposed or extracted. In some cases, hemorrhage was observed in the dura mater, but there was no or little hemorrhage in the cortex. Histological examination with hematoxylin and eosin staining showed no remarkable contusion or laceration in the brain under any of the LISW conditions (data not shown). Under the standard LISW conditions (fluence, 1.0 and 1.25 J/cm2), disruption of the blood brain barrier (BBB) was examined by intravenous injection of Evans Blue (EB), and intracranial pressure (ICP) was measured with a fiber optic pressure sensor (FISO-LS-PT9, FISO Technologies, Quebec, Canada). In the acute phase (within 1 h after LISW application), extravasation of EB was not visible and change in ICP was not evident for the brains.

Table 1 summarizes main observations showing whether drastic scattering change, EEG suppression, long-lasting hypoxemia and signal change indicating heme aa3 reduction were observed or not. At a laser fluence of 1.0 J/cm2 (average peak pressure, ∼86 MPa; average impulse, ∼14 Pa•s), we observed drastic scattering change accompanying EEG suppression for 9 of 12 rats. For 8 of those 9 rats, prolonged hypoxemia was observed, and heme aa3 reduction was indicated in 6 of those 8 rats. Probabilities of the occurrence of these events seem to increase with increasing peak pressure and impulse. In the total of 24 rats examined, drastic scattering change accompanying EEG suppression, which indicated the occurrence of spreading depression, was observed for 18 rats; prolonged hypoxemia was observed in 15 (83.3%) of those 18 rats and heme aa3 reduction was indicated in 14 (77.8%) of those 18 rats, showing a strong correlation between these events.

thumbnail
Table 1. Summary of observations by measurements of diffuse reflectance signal and EEG; mark (X) indicates observed.

https://doi.org/10.1371/journal.pone.0082891.t001

DC potential shift and light scattering change

Figure 4A shows the time course of DC potential for the rat brain exposed to an LISW generated at 1.0 J/cm2 (∼86 MPa; ∼14 Pa•s). The discontinuous increase at the time of LISW application is attributable to the change of electrode contact with the brain tissue. At ∼2 min after LISW application, the potential started to decrease steeply and continued to decrease for ∼30 s; thereafter it recovered to a certain level in ∼2 min but decreased again and stayed at low levels for a long time. The maximum potential shift was ∼7.2 mV, indicating the occurrence of a strong depolarization. Figure 4B shows the time course of scattering light intensity in the ROI (0.5 mm×1.0 mm) adjacent to the site of the potential measurement, which was simultaneously measured on the basis of CCD imaging. At ∼2.5 min after LISW application, the intensity increased sharply and then dropped; thereafter it gradually recovered to the initial level. The increase and decrease in scattering intensity respectively corresponded to the bright and dark regions in the scattering wave, which are shown later (Fig. 5A). The DC potential shift temporally coincided with the scattering signal change. This scattering change and that obtained by fiber measurement (Fig. 3D) originated from the same phenomenon, although measurement points and observation depths were slightly different. Combining these findings with the EEG suppression shown in Fig. 3E, it can be said that the LISW caused spreading depolarization, which was accompanied by spreading depression and concomitant light scattering change.

thumbnail
Figure 4. Results of measurements of DC potential and light scattering signal based on CCD imaging.

A single pulse of LISW generated at 1.0/cm2 (φ4 mm; ∼86 MPa; ∼14 Pa•s) was applied to the brain at time zero. (A) DC potential measured at the same position for EEG measurement (Fig. 2B). (B) Light scattering intensity in the ROI adjacent to the site of DC potential measurement.

https://doi.org/10.1371/journal.pone.0082891.g004

thumbnail
Figure 5. NIR difference reflectance images (video clips) showing propagation of light scattering waves on the rat brain that was exposed to an LISW.

Images were acquired with a CCD camera under illumination with a bandpass-filtered tungsten lamp (800±70 nm). The laser target was quickly removed after laser exposure. The LISW was applied at time zero. (A) A 4-mm-diameter LISW generated at 1.0 J/cm2 (∼86 MPa; ∼14 Pa•s) was applied to the same location as that for diffuse reflectance measurement (left-most photograph and figure). (B) An 8-mm-diameter LISW generated at 0.7 J/cm2 (∼85 MPa; ∼19 Pa•s) was applied to the area around the center of the skull (left-most photograph and figure). In both (A) and (B), arrowheads indicate the front of a bright region(s), which was (were) followed by a dark region(s). Times shown in the NIR difference reflectance images indicate times after LISW application. Propagation speeds in (A) and (B) were 2.4 mm/min and 2.0 mm/min, respectively.

https://doi.org/10.1371/journal.pone.0082891.g005

DC potential measurement was repeated for five other rats under the same LISW conditions; multiple occurrence of DC potential shift was not observed. Under the higher pressure LISW conditions (1.25 J/cm2; ∼104 MPa; ∼19 Pa•s), however, consecutive DC potential shifts were observed in some cases. There might be pressure or impulse-dependent increase in the number of times of occurrence of spreading depolarization/depression (SD).

Imaging of propagation of scattering wave (SD)

Figure 5A shows difference scattering images (video clips) of the rat brain that was exposed to an LISW under the same conditions as those for the diffuse reflectance measurement (diameter, 4 mm; 1 J/cm2; ∼86 MPa; ∼14 Pa•s) (Movie S1). Bright regions appeared at the site of LISW application and they propagated forward and backward over the left hemisphere, and dark regions followed the bright regions. The propagation speed of the scattering waves (SD) was 2.4 mm/min, but they did not get into the contra-hemisphere. When an LISW was applied to the lateral region in the parietal bone or the frontal bone in the same hemisphere, scattering waves were also generated at the site of LISW application and showed similar propagation characteristics (data not shown). When a larger diameter LISW (φ8 mm; 0.7 J/cm2; ∼85 MPa; ∼19 Pa•s) was applied to the area around the center of the skull, a scattering wave was propagated radially over both hemispheres at ∼2.0 mm/min; the wave covered all of the observed region of the brain. Under this irradiation condition, we occasionally observed that a scattering wave (SD) generated from the occipital lobe, corresponding to the visual cortex, not from the site of LISW application (Figure 5B, Movie S2). There is a similarity between this observation and spreading depression observed in patients with migraine. This issue is discussed later.

Stereomicroscopic observation of blood vessels in the brain surface

Figure 6 shows stereomicroscopic images of blood vessels in the brain surface at four different time points: (A) before LISW application (B), 2.5 min, (C) 4 min and (D) 48 min after LISW application (φ4 mm; 1.25 J/cm2; ∼104 MPa; ∼19 Pa•s), where the time points (B) and (C, D) correspond to the hyperemic/hyperoximic phase and oligemic/hypoxemic phase, respectively. Pial arteries were remarkably dilated in (B), while they were constricted in (C) and (D); diameters of some arteries were smaller than those before LISW application (arrowheads). In addition, change of tissue color, which reflects diameter of capillaries, was evident. The tissue color in (B) was more reddish than that before LISW application, indicating hyperperfusion in capillaries. On the other hand, the tissue color in (C) and (D) was pale, indicating vasoconstriction of capillaries; vasoconstriction was seen even in some veins (arrows) in (D). Some small-diameter vessels seen in (C) were not able to be seen clearly in (D). These observations indicate that the application of LISW caused a short-lasting vasodilatation, which was followed by a long-lasting vasoconstriction, corresponding respectively to the hyperemia/hyperoxemia and oligemia/hypoxemia observed by the diffuse reflectance measurement (Fig. 3F, G). Thus, hypoxemia observed by the optical measurement would be closely associated with vasoconstriction.

thumbnail
Figure 6. Stereomicroscopic observation of blood vessels in the surface of the brain that was exposed to an LISW.

The image was taken through a cranial window of 4-mm-thick PET sheet was fitted. A 4-mm-diameter LISW generated at 1.25 J/cm2 (∼104 MPa; ∼19 Pa•s) was applied to the right hand side of the window at time zero. (A) Before LISW application. (B–D) After LISW application: (B) t = 2.5 min, (C) t = 4 min and (D) t = 48 min. Diameters of some pial arteries were smaller than those before LISW application (arrowheads). Tissue color in (C) and (D) was pale. In (D), even some veins showed vasoconstriction (arrows). Some small-diameter vessels seen in (C) (asterisks) were not able to be seen clearly in (D). The state shown in (B) and states shown in (C) and (D) correspond to hyperemia/hyperoxemia and oligemia/hypoxemia, respectively, which were shown by spectroscopic diffuse reflectance measurement (Fig. 3G, F).

https://doi.org/10.1371/journal.pone.0082891.g006

Spatiotemporal correlation between spreading depression and hypoxemia

Figure 7 shows time courses of hemoglobin oxygenation level (R578/R569) measured at three positions of the fibers: ch1, ch2 and ch3, where time zero indicates the time of LISW application (1.25 J/cm2; ∼104 MPa; ∼19 Pa•s). This measurement and the imaging experiment for which results are shown Fig. 6 required different preparations for the rat. Thus, these two experiments were performed separately, although LISW conditions were the same. The hemoglobin oxygenation level at ch1 was very similar to that shown in Fig. 3G; just after LISW application, the oxygenation level increased but began to decrease at ∼3 min and stayed at a low level. At ch2, the oxygenation level started to increase at ∼1.5 min and then started to decrease at ∼4 min. At ch3, time points of increase and decrease in the oxygenation level were further delayed, at ∼2 min and ∼5 min, respectively. These results indicate that region of hypoxemia was expanding over the cortex; its average speed was 2.6 mm/min in this case. We performed the same measurement for three other rats and confirmed reproducibility; the propagation speed of hypoxemia was in the range of 1.9–3.8 mm/min. This coincided with the propagation speed of the scattering wave and hence SD (1.6–3.3 mm/min), showing a strong correlation between SD and hypoxemia-oligemia.

thumbnail
Figure 7. Results of multichannel fiber measurement of hemoglobin oxygenation level.

Positions of the fiber pair and LISW application are shown Fig. 2D. An LISW generated at 1.25 J/cm2 (φ4 mm; ∼104 MPa; ∼19 Pa•s) was applied to the frontal bone at time zero. Time courses of hemoglobin oxygenation (R578/R569) measured at (A) ch1, (B) ch2 and (C) ch3. The vertical dashed lines indicate turning points from hyperoxemia to hypoxemia.

https://doi.org/10.1371/journal.pone.0082891.g007

Quantification of hemoglobin oxygen saturation

Figure 8A shows the results of quantification of hemoglobin oxygen saturation (StO2) for the rat brain that was exposed to an LISW generated at 1.0 J/cm2 (∼86 MPa; ∼14 Pa•s) at time zero (t = 0). For reference, concentrations of oxygenated hemoglobin (CHbO), deoxygenated hemoglobin (CHbR) and total hemoglobin (CHbT) (Fig. 8B) and scattering amplitude (a) (Fig. 8C) are also shown. Before LISW application, StO2 was ∼60%. After LISW application, StO2 transiently increased to ∼70% but began to decrease at about 4 min after LISW application. There were some fluctuations, but StO2 continuously showed low values; about 27 min after LISW application, it stayed as low as ∼35%, indicating severe long-lasting hypoxemia. The concentration of oxygenated hemoglobin CHbO decreased by ∼50% (Fig. 8B), being consistent with the severe arterial vasoconstriction observed (Fig. 6C, D). Drastic change in the scattering amplitude a just after LISW application proved the diffuse reflectance signal change at 805 nm (R805).

thumbnail
Figure 8. Results of quantification of hemoglobin oxygen saturation (StO2) based on inverse Monte Carlo simulation.

To exclude uncertainty associated with optical properties of the skull, a small window was made in the skull for fiber measurement. Relative location of LISW application (φ4 mm; ∼86 MPa; ∼14 Pa•s) and the fiber pair was the same as that for diffuse reflectance measurement (Fig. 2B). Time courses of (A) StO2 and other important parameters for simulation: (B) concentrations of oxygenated hemoglobin CHbO, deoxygenated hemoglobin CHbR and total hemoglobin CTHb and (C) scattering amplitude a.

https://doi.org/10.1371/journal.pone.0082891.g008

Discussion

Summary and correlation of observations

In this study, we performed real-time measurements of diffuse reflectance signals and EEG for the rat brain that was exposed to a laser-induced shock wave (LISW). Even under conditions in which no clear changes were observed in systemic physiological parameters, we observed a drastic change in the light scattering signal, EEG suppression, long-lasting hypoxemia and signal change indicating mitochondrial energy impairment (Fig. 3). The scattering signal change, which reflected cellular and subcellular morphological changes, and EEG suppression indicated the occurrence of spreading depression, and we examined related events to confirm this. At ∼2 minutes after LISW application, DC potential shifted negatively and this change temporally coincided with the transit of a scattering wave through the site of DC potential measurement (Fig. 4). The scattering wave was observed to propagate over the cortex at a speed of 1.6–3.3 mm/min (Fig. 5). These observations confirmed the occurrence of spreading depolarization. Stereomicroscopic observation of blood vessels in the brain surface showed remarkable vasodilatation for a few minutes after LISW application, which was followed by a long-lasting vasoconstriction, corresponding to the long-lasting hypoxemia (Fig. 6). The region of hypoxemia expanded at a speed similar to that of propagation of the scattering wave (SD) (Fig. 7). Furthermore, computer simulation showed that the hypoxemia observed was severe, ∼40% lower than that before LISW application (Fig. 8).

During spreading depression/depolarization (SD), cells will respond to compensate abnormal influx and efflux of ions through the membranes, and this process consumes much ATP, leading to a loss of tissue viability in the brain. The signal changes indicating mitochondrial energy impairment (Fig. 3H) might be associated with this process. However, the signal changes observed were relatively small, and more sensitive measurement is needed for further discussion, which is an important part of our future study.

SD and hemodynamic responses

Spreading depolarization/depression (SD) is known to be caused by nonblast TBIs with contusion and hemorrhage. In rodent nonblast TBI models made by fluid percussion (FP) [50][53] and controlled cortical impact (CCI) [54][57], the occurrence of SD has been shown clearly. Since characteristics of SD depend on many parameters, such as site, size and strength of impact as well as animal conditions, clear-cut description is difficult. However, there seem to be differences in characteristics of SD due to FP injury and those due to CCI injury. In CCI injury, SD is observed immediately after impact with inefficient recurrence and occurs mainly in the ipsilateral (injured) hemisphere. A correlation between SD frequency and intracranial pressure (ICP) is not evident in this model [56]. In FD injury, on the other hand, SD is characterized by delayed and repeated occurrence and is clearly observed even in the contralateral (uninjured) hemisphere [52], [53]; there is a significant correlation between SD frequency and ICP [52]. The mechanism underlying the differences between these two models is not clear, but it seems that SD is directly induced by mechanical impact in CCI injury, while hypoxic or ischemic conditions due to contusion-hemorrhage or increased IPC cause SD in FD injury. Similarity and dissimilarity in SD characteristics and responses between these nonblast TBI models and our shock wave-induced TBI model are discussed later.

In blast-related TBIs, both in animal models [58] and human patients [59], [60], EEG abnormalities have been reported, but it is not clear whether a shock wave itself causes SD in the brain. Under the LISW conditions examined in this study, no or little hemorrhage and contusion were observed in the brain. In addition, changes in systemic physiological parameters were small, indicating limited effects of the LISW on the brainstem or higher controlling center. Even under such mild conditions, we reproducibly observed SD and related long-lasting vasoconstriction and hypoxemia.

Spreading depolarization/depression is known to also occur in various brain diseases, such as stroke, subarachnoid hemorrhage, epilepsy and migraine, and has received much attention as an important signature, as well as a factor determining the severity and prognosis, of the disease [48], [61], [62]. Hemodynamic responses to SD, which can be classified into normal and inverse responses, are important. In the inverse hemodynamic response, long-lasting near-complete depolarization is followed by vasoconstriction in the resistant vessels, leading to severe hypoxia or ischemia (spreading ischemia) [48]. There are common characteristics in our observation for the rat brain exposed to an LISW with those of spreading ischemia. The mechanism of SD-induced vasoconstriction is not fully understood, but a pronounced rise of extracellular potassium ions associated with SD can cause vasoconstriction since potassium at a concentration above ∼20 mM acts as a strong vasoconstrictor [63].

Long-lasting decrease in rCBF has also been reported in rodent nonblast TBI models described above [51][53], [55][57], but few reports deal with oxygen level and microscopic conditions of blood vessels in the brain. Thus, it is currently difficult to compare the characteristics of SD and its hemodynamic responses in detail between the nonblast TBI models and our shock wave-induced TBI model. As a factor for comparison, the temporal characteristics of depolarization are also important; it has recently been shown that the duration of DC or slow potential negative shift determines pathological outcome in the brain [64]. We can point out some similarities in the spatiotemporal characteristics of SD between CCI injury models and our model, i.e., the immediate occurrence after impact and predominant occurrence in the ipsilateral hemisphere. However, the duration of DC potential shift in our model (Fig. 4) is longer than that reported in the CCI injury model [56], [57], although much more data are needed for reliable comparison.

Light scattering signal as an indicator of shock wave-induced SD

Our results show that light scattering signals, both by fiber measurement and CCD imaging, are closely associated with SD induced by a shock wave in the brain. The scattering changes are attributable to cellular or subcellular morphological changes, which are caused by efficient influx and efflux of ions though the membrane due to SD. Experiments using brain slice culture showed that cell swelling caused a scattering decrease [65], while organelle swelling or dendritic beading led to a scattering increase [66], [67]. We previously observed that scattering increased in the brain after the anoxic depolarization, and scanning electron microscopy of fixed tissue showed remarkable swelling of mitochondria and dendrites [68]. It should be noted, however, that blood cells are also light scatterers [69], and drastic hemodynamic responses can therefore affect diffuse reflectance from the brain; increased blood flow might cause increased scattering and vice versa. Bright and dark regions observed in the scattering wave (Fig. 5) are attributable to hyperperfusion due to vasodilatation and hypoperfusion due to vasoconstriction (Fig. 6), respectively. However, we observed that vasoconstriction lasted for a long time, while scattering intensity soon recovered to its initial level. Thus, the drastic change in light scattering we observed would reflect both morphological changes of cells and organelles and change of blood flow in the brain. Although further study is needed, our results indicate that the light scattering signal can be an indicator of shock wave-induced SD, which can be monitored noninvasively.

Systemic exposure versus local exposure

In a real blast injury, the whole body is often exposed to a blast or shock wave, leading not only to diffuse brain injury but also to systemic injury. Systemic injury can considerably affect the brain; in particular, the effect of lung injury on the brain is crucial since it causes systemic hypoxia. It has also been pointed out that impact on the thorax causes vago-vagal reflex. Sudden hyperinflation of the lungs due to thorax impact can stimulate juxta-capillary (J)-receptors located within the alveolar walls, causing vago-vagal reflex. This can lead to apnea followed by rapid breathing, bradycardia and hypotension, thus affecting the brain [70][72]. To simulate systemic blast injury, whole body exposure is needed, for which large-bore shock/blast tubes are useful. However, events caused by such whole body exposure are extremely complex, and an inductive approach would therefore also be useful to investigate the pathophysiology and mechanism of bTBIs. From this viewpoint, an LISW would be a useful tool, by which pure effects of a shock wave on the brain can be examined under various conditions. Thoracic mechanisms, including that described above, would be associated with mild bTBI (mbTBI), but the results of our study show that application of a shock wave to the brain solely causes SD and related long-lasting vasoconstriction and hypoxemia in the brain. This inverse hemodynamic response-like phenomenon can cause neuronal cell death, suggesting that mbTBI is also caused by direct cranial transmission of a shock wave, without thoracic impact.

Factors affecting experimental outcome and clinical implications

In animal experiments relating to TBI, type of anesthesia used possibly affects the outcome because of its neuroprotective effect [73]. In the experiments described above, we used anesthesia with pentobarbital sodium. To check the effect of the type of anesthesia, we also performed the same diffuse reflectance measurement for rats under anesthesia by isoflurane inhalation (5% isoflurane in air); there is a report on a more potent neuroprotective effect than that of pentobarbital sodium [73]. We observed similar SD in this experiment; type of anesthesia seems not to greatly affect the occurrence of SD itself, although downstream events, such as neuronal cell death, may be changed. In real blast injuries, a neuroprotective effect due to anesthesia is, of course, not expected, and the outcome might thus be different.

Type of animals can also affect the outcome. It is known that SD occurs more easily in lower species [74]; for humans, threshold energy of a shock wave to induce SD would be higher. However, many common outcomes and complications of SD in animals and humans have been reported [75], [76]. From a mechanical point of view, the human skull is much thicker (3∼8 mm) than the rat skull (∼1 mm), and human brain is therefore much more efficiently protected against a shock wave. However, the human skull, even with a helmet, cannot perfectly reflect a coming shock wave; a part of the shock wave energy must penetrate through the skull to reach the brain. The face, e.g., the forehead, can be a transcranial window for a shock wave to reach the brain when a helmet is worn. The influence simply depends on the pressure amplitude of the shock wave. When the coming pressure amplitude is high enough, a shock wave that has penetrated through the skull can considerably affect the brain.

In our experiments using rats, SD was generated at the site of LISW application with a diameter of 4 mm and then propagated over the cortex in the hemisphere, indicating that the focal effect of a shock wave can affect a much wider region in the brain. When a larger diameter (8 mm) LISW was applied to the center of the parietal bone, however, SD was occasionally generated in the visual cortex (Fig. 5B). There is a similarity in this observation to observations of SD in patients with migraine [77]. Spreading depolarization/depression is caused and accelerated by efflux of potassium ions or glutamate, while glial cells can buffer them [78][80]. Thus, the density of glial cells in tissue is associated with the ease of occurrence of SD. Since it is known that the glial cell to neuron ratio is relatively low in the visual cortex [81], the threshold of SD occurrence in this region becomes lower than those in other regions in the brain. There seems to be a similar mechanism in our observation described above. Recently, Goodrich et al. compared vision problems in nonblast and blast-related TBI patients and reported that light sensitivity (photophobia) was observed in a significantly larger proportion of bTBI patients (67%) than nonblast TBI patients (33%) (p<0.01) [82]. The reason for this is unknown, but the probability of SD occurrence, particularly in the visual cortex, might be different between the two groups, resulting in the different outcomes of vision problems.

In recent years, clinical studies have been conducted to investigate the characteristics and outcomes of SDs that are induced by brain injuries, including nonblast TBIs [64], [83][85]. Fabricious et al. reported the occurrence of SD in 4 out of 5 TBI patients [83]. Hartings et al. studied 53 acute TBI patients and reported that 30 (57%) of the patients exhibited spreading depolarization and their outcomes critically depended on the characteristics of spreading depolarization, such as durations of DC shift and high-frequency electrocorticographic depression [64]. It should be noted, however, that TBIs in all of these patients were severe, for which neurosurgery was performed. For the patients, an electrode was placed on the brain during or after surgery and then measurement was started; there were no data during at least a few tens of hours after injury. Although mean arterial pressure, cerebral perfusion pressure and ICP were recorded for the patients, data on oxygen level and microscopic vasculature conditions were not reported. Continuous efforts will soon reveal more details of the hemodynamic responses of SD and their outcomes in TBI patients.

Despite the strong interest in SD for various brain diseases including nonblast TBIs as described above, SD and related events have not been discussed in detail in reports on bTBI. Vasoconstriction or vasospasm has been recognized as a common complication in patients with moderate or severe bTBI [5], [9], [86], but its mechanism is unclear. The results of this study indicate the possibility that shock wave-induced SD is associated with this common complication.

LISW-based rat bTBI models

Shock wave-induced SD or related vasoconstriction can be an important therapeutic target for bTBI. To investigate the possible therapeutic strategy, an animal model is needed. To the authors' knowledge, however, no animal model has been established for shock wave-induced SD and related hemodynamic responses. Although there are various animal models for SD, e.g., electrical stimulation [87], [88], KCl application/injection [88][91], pinprick [92][94], hypoxia [75], [95] and ischemia [88], [89], [96], their characteristics and outcomes should be different. Our rats with application of an LISW to the brain can be used as a reliable animal model to reproduce SD and related events. In parallel with the present real-time monitoring experiment, we are conducting pathological examination and behavioral analysis for the rats. We observed axonal injury, as well as behavioral impairment (depression and anxiety), under certain conditions; the results will be reported elsewhere. Understanding the correlation between the results of these experiments will provide a new insight into the mechanism of bTBI.

Supporting Information

Movie S1.

Movie showing propagation of light scattering waves on the rat brain that was exposed to an LISW. A 4-mm-diameter LISW generated at 1.0 J/cm2 (∼86 MPa; ∼14 Pa•s) was applied to the same location as that for diffuse reflectance measurement (left-most photograph and figure in Fig. 5A).

https://doi.org/10.1371/journal.pone.0082891.s001

(AVI)

Movie S2.

Movie showing propagation of light scattering waves on the rat brain that was exposed to an LISW. An 8-mm-diameter LISW generated at 0.7 J/cm2 (∼85 MPa; ∼19 Pa•s) was applied to the area around the center of the skull (left-most photograph and figure in Fig. 5B).

https://doi.org/10.1371/journal.pone.0082891.s002

(AVI)

Acknowledgments

The authors would like to thank Neuroscience Inc. for intracranial pressure measurement.

Author Contributions

Conceived and designed the experiments: SS SK. Performed the experiments: SK WO. Analyzed the data: SS SK IN HN GT. Contributed reagents/materials/analysis tools: SK WO IN. Wrote the paper: SS SK.

References

  1. 1. Wolf SJ, Bebarta VS, Bonnet CJ, Pons PT, Cantrill SV (2009) Blast Injuries. Lancet 374: 405–415.
  2. 2. Magnuson J, Leonessa F, Ling GS (2012) Neuropathology of explosive blast traumatic brain injury. Curr Neurol Neurosci Rep 12: 570–579.
  3. 3. Fischer H (2013) U.S. Military Casualty Statistics: Operation New Dawn, Operation Iraqi Freedom, and Operation Enduring Freedom. CRS Report for Congress
  4. 4. Hoge CW, McGurk D, Thomas JL, Cox AL, Engel CC, et al. (2008) Mild traumatic brain injury in U.S. soldiers returning from Iraq. New Engl J Med 358: 453–463.
  5. 5. Ling G, Bandak F, Armonda R, Grant G, Ecklund J (2009) Explosive blast neurotrauma. J Neurotrauma 26: 815–825.
  6. 6. Shively SB, Perl DP (2012) Traumatic brain injury, shell shock, and posttraumatic stress disorder in the military–past, present, and future. J Head Trauma Rehabil 27: 234–239.
  7. 7. Bogdanova Y, Verfaellie M (2012) Cognitive sequelae of blast-induced traumatic brain injury: recovery and rehabilitation. Neuropsychol Rev 22: 4–20.
  8. 8. Showstack R (2013) Largest meteor since Tunguska event explodes above Russian city. Eos, Transactions American Geophysical Union 94: 87–88.
  9. 9. Cernak I, Noble-Haeusslein LJ (2010) Traumatic brain injury: an overview of pathobiology with emphasis on military population. J Cereb Blood Flow & Metabolism 30: 255–266.
  10. 10. Chandra N, Ganpule S, Kleinschmit NN, Feng R, Holmberg AD, et al. (2012) Evolution of blast wave profiles in simulated air blasts: experiment and computational modeling. Shock Waves 22: 403–415.
  11. 11. Shohami E, Shapira Y, Cotev S (1988) Experimental closed head injury in rats: prostaglandin production in a noninjured zone. Neurosurgery 22: 859–863.
  12. 12. Shapira Y, Shohami E, Sidi A, Soffer D, Freeman S, et al. (1988) Experimental closed head injury in rats: mechanical, pathophysiologic, and neurologic properties. Crit Care Med 16: 258–265.
  13. 13. Marmarou A, Foda MA, van den Brink W, Campbell J, Kita H, et al. (1994) A new model of diffuse brain injury in rats. Part I: Pathophysiology and biomechanics. J Neurosurg 80: 291–300.
  14. 14. Foda MA, Marmarou A (1994) A new model of diffuse brain injury in rats. Part II: Morphological characterization. J Neurosurg 80: 301–313.
  15. 15. Adelson PD, Robichaud P, Hamilton RL, Kochanek PM (1996) A model of diffuse traumatic brain injury in the immature rat. J Neurosurg 85: 877–884.
  16. 16. Flierl MA, Stahel PF, Beauchamp KM, Morgan SJ, Smith WR, et al. (2009) Mouse closed head injury model induced by a weight-drop device. Nat Protoc 4: 1328–1337.
  17. 17. McIntosh TK, Noble L, Andrews B, Faden AI (1987) Traumatic brain injury in the rat: characterization of a midline fluid-percussion model. Cent Nerv Syst Trauma 4: 119–134.
  18. 18. Dixon CE, Lyeth BG, Povlishock JT, Findling RL, Hamm RJ, et al. (1987) A fluid percussion model of experimental brain injury in the rat. J Neurosurg 67: 110–119.
  19. 19. McIntosh TK, Vink R, Noble L, Yamakami I, Fernyak S, et al. (1989) Traumatic brain injury in the rat: characterization of a lateral fluid-percussion model. Neuroscience 28: 233–244.
  20. 20. Dixon CE, Clifton GL, Lighthall JW, Yaghmai AA, Hayes RL (1991) A controlled cortical impact model of traumatic brain injury in the rat. J Neurosci Methods 39: 253–262.
  21. 21. Smith DH, Soares HD, Pierce JS, Perlman KG, Saatman KE, et al. (1995) A model of parasagittal controlled cortical impact in the mouse: cognitive and histopathologic effects. J Neurotrauma 12: 169–178.
  22. 22. Kato K, Fujimura M, Nakagawa A, Saito A, Ohki T, et al. (2007) J Neurosurg 106: 667–676.
  23. 23. Cernak I, Wang Z, Jiang J, Bian X, Savic J (2001) Cognitive deficits following blast injury-induced neurotrauma: possible involvement of nitric oxide. Brain Inj 15: 593–612.
  24. 24. Cernak I, Wang Z, Jiang J, Bian X, Savic J (2001) Ultrastructural and functional characteristics of blast injury-induced neurotrauma. J Trauma 50: 695–706.
  25. 25. Long JB, Bentley TL, Wessner KA, Cerone C, Sweeney S, et al. (2009) Blast overpressure in rats: recreating a battlefield injury in the laboratory. J Neurotrauma 26: 827–840.
  26. 26. Svetlov SI, Prima V, Kirk DR, Gutierrez H, Curley KC, et al. (2010) Morphologic and biochemical characterization of brain injury in a model of controlled blast overpressure exposure. J Trauma 69: 795–804.
  27. 27. Chen Y, Huang W, Constantini S (2012) Blast shock wave mitigation using the hydraulic energy redirection and release technology. PLoS One 7: e39353.
  28. 28. Bauman RA, Ling G, Tong L, Januszkiewicz A, Agoston D, et al. (2009) An introductory characterization of a combat-casualty-care relevant swine model of closed head injury resulting from exposure to explosive blast. J Neurotrauma 26: 841–860.
  29. 29. Elsayed NM, Gorbunov NV, Kagan VE (1997) A proposed biochemical mechanism involving hemoglobin for blast overpressure-induced injury. Toxicology 121: 81–90.
  30. 30. Guy RJ, Kirkman E, Watkins PE, Cooper GJ (1998) Physiologic responses to primary blast. J Trauma 45: 983–987.
  31. 31. Jaffin JH, McKinney L, Kinney RC, Cunningham JA, Moritz DM, et al. (1987) A laboratory model for studying blast overpressure injury. J Trauma 27: 349–356.
  32. 32. Satoh Y, Sato S, Saitoh D, Tokuno S, Hatano B, et al. (2010) Pulmonary blast injury in mice: a novel model for studying blast injury in the laboratory using laser-induced stress waves. Lasers Surg Med 42: 313–318.
  33. 33. Hatano B, Matsumoto Y, Ohtani N, Saitoh D, Tokuno S, et al. (2011) Proc. of SPIE 7897: 78971V.
  34. 34. Ogura M, Sato S, Nakanishi K, Uenoyama M, Kiyozumi T, et al. (2004) In vivo targeted gene transfer in skin by the use of laser-induced stress waves. Lasers Surg Med 34: 242–248.
  35. 35. Satoh Y, Kanda Y, Terakawa M, Obara M, Mizuno K, et al. (2005) Targeted DNA transfection into the mouse central nervous system using laser-induced stress waves. J Biomed Opt 10: 060501.
  36. 36. Aizawa K, Sato S, Terakawa M, Saitoh D, Tsuda H, et al. (2009) Accelerated adhesion of grafted skin by laser-induced stress wave-based gene transfer of hepatocyte growth factor. J Biomed Opt 14: 064043.
  37. 37. Kurita A, Matsunobu T, Satoh Y, Ando T, Sato S, et al. (2011) Targeted gene transfer into rat facial muscles by nanosecond pulsed laser-induced stress waves. J Biomed Opt 16: 098002.
  38. 38. Sato S, Ando T, Obara M (2011) Optical fiber-based photomechanical gene transfer system for in vivo application. Opt Lett 36: 4545–4547.
  39. 39. Ando T, Sato S, Toyooka T, Kobayashi H, Nawashiro H, et al. (2012) Photomechanical wave-driven delivery of siRNAs targeting intermediate filament proteins promotes functional recovery after spinal cord injury in rats. PLoS One 7: e51744.
  40. 40. Courtney MW, Courtney AC (2011) Working toward exposure thresholds for blast-induced traumatic brain injury: thoracic and acceleration mechanisms. Neuroimage 54 Suppl 1: S55–S61.
  41. 41. Schumacher RN, Cummings BE (1977) A modified pressure-impulse blast damage model. USA Ballistic Research Laboratories Memorandum Report #2724, ADA036196.
  42. 42. Center for Chemical Process Safety (1994) Guidelines for Evaluating the Characteristics of Vapor Cloud Explosions, Flash Fires, and BLEVEs. New York: Wiley-AIChE. pp. 351–357.
  43. 43. Kawauchi S, Sato S, Uozumi Y, Nawashiro H, Ishihara M, et al. (2011) Light-scattering signal may indicate critical time zone to rescue brain tissue after hypoxia. J Biomed Opt 16: 027002.
  44. 44. Kawauchi S, Nishidate I, Uozumi Y, Nawashiro H, Ashida H, et al. (2013) Diffuse light reflectance signals as potential indicators of loss of viability in brain tissue due to hypoxia: charge-coupled-device-based imaging and fiber-based measurement. J Biomed Opt 18: 015003.
  45. 45. Mourant JR, Bigio IJ (2003) Elastic-scattering spectroscopy and diffuse reflectance. In: Vo-Dinh T, editor. Biomedical photonics handbook. Boca Raton: CRC Press. pp. 29-1–29-5.
  46. 46. van der Zee P, Essenpreis M, Delpy DT (1993) Optical properties of brain tissue. Proc SPIE 1888: 454–465.
  47. 47. Wharton DC, Gibson QH (1966) Spectrophotometric characterization and function of copper in cytochrome c oxidase. In: Peisach J, editor. Biochemistry of Copper. Waltham: Academic Press. pp. 235–244.
  48. 48. Dreier JP (2011) The role of spreading depression, spreading depolarization and spreading ischemia in neurological disease. Nat Med 17: 439–447.
  49. 49. DeWitt DS, Prough DS (2009) Blast-induced brain injury and posttraumatic hypotension and hypoxemia. J Neurotrauma 26: 877–887.
  50. 50. Sunami K, Nakamura T, Kubota M, Ozawa Y, Namba H, et al. (1989) Spreading depression following experimental head injury in the rat. Neurol Med Chir (Tokyo) 29: 975–980.
  51. 51. Ozawa Y, Nakamura T, Sunami K, Kubota M, Itoh C, et al. (1991) Study of regional cerebral blood flow in experimental head injury: changes following cerebral contusion and during spreading depression. Neurol Med Chir (Tokyo) 31: 685–690.
  52. 52. Rogatsky GG, Sonn J, Kamenir Y, Zarchin, Mayevsky A (2003) Relationship between intracranical pressure and cortical spreading depression following fluid percussion brain injury in rats. J Neurotrauma 20: 1315–1325.
  53. 53. Manor T, Barbilo-Michaely E, Rogatsky GG, Mayevsky A (2008) Real-time multi-site multi-parametric monitoring of rat brain subjected to traumatic brain injury. Neurol Res 30: 1075–1083.
  54. 54. Katayama Y, Maeda T, Koshinaga M, Kawamata T, Tsubokawa T (1995) Role of excitatory amino acid-mediated ionic fluxes in traumatic brain injury. Brain Pathol 5: 427–435.
  55. 55. Zhang F, Sprague SM, Farrokhi F, Henry MN, Son MG, et al. (2002) Reversal of attenuation of cerebrovascular reactivity to hypercapnia by a nitric oxide donor after controlled cortical impact in a rat model of traumatic brain injury. J Neurosurg 97: 963–969.
  56. 56. von Baumgarten L, Trabold R, Thal S, Back T, Plesnila N (2008) Role of cortical spreading depression for secondary brain damage after traumatic brain injury in mice. J Cereb Blood Flow Metabol 28: 1353–1360.
  57. 57. Sword J, Masuda T, Croom D, Kirov SA (2013) Evolution of neuronal and astroglial disruption in the peri-contusional cortex of mice revealed by in vivo two-photon imaging. Brain 136: 1446–1461.
  58. 58. Axelsson H, Hjelmqvist H, Medin A, Persson JK, Suneson A (2000) Physiological changes in pigs exposed to a blast wave from a detonating high-explosive charge. Mil Med 165: 119–126.
  59. 59. Trudeau DL, Anderson J, Hansen LM, Shagalov DN, Schmoller J, et al. (1998) Findings of mild traumatic brain injury in combat veterans with PTSD and a history of blast concussion. J Neuropsych Clin Neurosci 10: 308–313.
  60. 60. Sponheim SR, McGuire KA, Kang SS, Davenport ND, Aviyente S, et al. (2011) Evidence of disrupted functional connectivity in the brain after combat-related blast injury. Neuroimage 54 Suppl 1: S21–S29.
  61. 61. Lauritzen M, Dreier JP, Fabricius M, Hartings JA, Graf R, et al. (2011) Clinical relevance of cortical spreading depression in neurological disorders: migraine, malignant stroke, subarachnoid and intracranial hemorrhage, and traumatic brain injury. J Cereb Blood Flow Metabol 31: 17–35.
  62. 62. Dreckhahn C, Winkler MKL, Major S, Scheel M, Kang EJ, et al. (2012) Correlates of spreading depolarization in human scalp electroencephalography. Brain 135: 853–868.
  63. 63. Windmüller O, Lindauer U, Foddis M, Einhäupl KM, Dirnagl U, et al. (2005) Ion changes in spreading ischaemia induce rat middle cerebral artery constriction in the absence of NO. Brain 128: 2042–2051.
  64. 64. Hartings JA, Watanabe T, Bullock MR, Okonkwo DO, Fabricius M, et al. (2011) Spreading depolarizations have prolonged direct current shifts and are associated with poor outcome in brain trauma. Brain 134: 1529–1540.
  65. 65. Polischuk TM, Jarvis CR, Andrew RD (1998) Intrinsic optical signaling denoting neuronal damage in response to acute excitotoxic insult by domoic acid in the hippocampal slice. Neurobiol Dis 4: 423–437.
  66. 66. Andrew RD, MacVicar BA (1994) Imaging cell volume changes and neuronal excitation in the hippocampal slice. Neuroscience 62: 371–383.
  67. 67. Bahar S, Fayuk D, Somjen GG, Aitken PG, Turner DA (2000) Mitochondrial and intrinsic optical signals imaged during hypoxia and spreading depression in rat hippocampal slices. J Neurophysiol 84: 311–324.
  68. 68. Kawauchi S, Sato S, Ooigawa H, Nawashiro H, Ishihara M, et al. (2008) Simultaneous measurement of changes in light absorption due to the reduction of cytochrome c oxidase and light scattering in rat brains during loss of tissue viability. Appl Opt 47: 4164–4176.
  69. 69. Narayan SM, Esfahani P, Blood AJ, Sikkens L, Toga AW (1995) Functional increases in cerebral blood volume over somatosensory cortex. J Cereb Blood Flow Metab 15: 754–765.
  70. 70. Cernak I, Savic J, Malicevic Z, Zunic G, Djurdjevic D, et al. (1996) The pathogenisis of pulmonary blast injury: our point of view. Chinese J Traumatol 12: 28–31.
  71. 71. Zuckerman S (1940) Experimental study of blast injuries to the lungs. Lancet II 236: 219–224.
  72. 72. Paintal AS (1969) Mechanism of stimulation of type J pulmonary receptors. J Physiol 203: 511–532.
  73. 73. Statler KD, Alexander H, Vagni V, Dixon CE, Clark RS, et al. (2006) Comparison of seven anesthetic agents on outcome after experimental traumatic brain injury in adult, male rats. J Neurotrauma 23: 97–108.
  74. 74. Van Harreveld A, Stamm JS, Chiristensen EI (1956) Spreading depression in rabbit, cat and monkey. Am J Physiol 184: 312–320.
  75. 75. Somjen GG (2001) Mechanism of spreading depression and hypoxic spreading depression-like depolarization. Physiol Rev 81: 1065–1096.
  76. 76. Mayevsky A, Doron A, Manor T, Meilin S, Zarchin N, et al. (1996) Cortical spreading depression recorded from the human brain using a multiparametric monitoring system. Brain Res 18: 268–274.
  77. 77. Hadjikhani N, Sanchez Del Rio M, Wu O, Schwartz D, Bakker D, et al. (2001) Proc Natl Acad Sci U S A 98: 4687–4692.
  78. 78. Leis JA, Bekar LK, Walz W (2005) Potassium homeostasis in the ischemic brain. Glia 50: 407–416.
  79. 79. Somjen GG, Kager H, Wadman WJ (2008) Computer simulations of neuron-glia interactions mediated by ion flux. J Comput Neurosci 25: 349–365.
  80. 80. Leo L, Gherardini L, Barone V, De Fusco M, Pietrobon D, et al. (2011) PLoS Genet 7: e1002129.
  81. 81. O'Kusky J, Colonnier M (1982) Postnatal changes in the number of astrocytes, oligodendrocytes, and microglia in the visual cortex (area 17) of the macaque monkey: a stereological analysis in normal and monocularly deprived animals. J Comp Neurol 210: 307–315.
  82. 82. Goodrich GL, Flyg HM, Kirby JE, Chang CY, Martinsen GL (2013) Mechanisms of TBI and visual consequences in military and veteran populations. Optom Vis Sci 90: 105–112.
  83. 83. Fabricius M, Fuhr S, Bhatia R, Boutelle M, Hashemi P, et al. (2006) Cortical spreading depression and peri-infarct depolarization in acutely injured human cerebral cortex. Brain 129: 778–790.
  84. 84. Hartings JA, Gugliotta M, Gilman C, Strong AJ, Tortella FC, et al. (2008) Repetitive cortical spreading depolarizations in a case of severe brain trauma. Neurol Res 30: 876–882.
  85. 85. Hartings JA, Strong AJ, Fabricius M, Manning A, Bhatia R, et al. (2009) Spreading depolarizations and late secondary insults after traumatic brain injury. J Neurotrauma 26: 1857–1866.
  86. 86. Armonda RA, Bell RS, Vo AH, Ling G, DeGraba TJ, et al. (2006) Wartime traumatic cerebral vasospasm: recent review of combat casualties. Neurosurgery 59: 1215–1225.
  87. 87. Leão AAP (1944) Spreading depression of activity in the cerebral cortex. J Neurophysiol 7: 359–390.
  88. 88. Chang JC, Shook LL, Biag J, Nguyen EN, Toga AW, et al. (2010) Biphasic direct current shift, haemoglobin desaturation and neurovascular uncoupling in cortical spreading depression. Brain 133: 996–1012.
  89. 89. Hansen AJ, Olsen CE (1980) Brain extracellular space during spreading depression and ischemia. Acta Physiol Scand 108: 355–365.
  90. 90. Nedergaard M, Hansen AJ (1988) Spreading depression is not associated with neuronal injury in the normal brain. Brain Res 449: 395–398.
  91. 91. Hashemi P, Bhatia R, Nakamura H, Dreier JP, Graf R, et al. (2009) Persisting depletion of brain glucose following cortical spreading depression, despite apparent hyperaemia: evidence for risk of an adverse effect of Leão's spreading depression. J Cereb Blood Flow Metab 29: 166–175.
  92. 92. Piper RD, Lambert GA, Duckworth JW (1991) Cortical blood flow changes during spreading depression in cats. Am J Physiol 261: H96–H102.
  93. 93. Ebersberger A, Schaible HG, Averbeck B, Richter F (2001) Is there a correlation between spreading depression, neurogenic inflammation, and nociception that might cause migraine headache?. Ann Neurol 49: 7–13.
  94. 94. Ba AM, Guiou M, Pouratian N, Muthialu A, Rex DE, et al. (2002) Multiwavelength optical intrinsic signal imaging of cortical spreading depression. J Neurophysiol 88: 2726–2735.
  95. 95. Hansen AJ (1985) Effect of anoxia on ion distribution in the brain. Physiol Rev 65: 101–148.
  96. 96. Hossmann KA (1996) Periinfarct depolarizations. Cerebrovasc Brain Metab Rev 8: 195–208.