1.IntroductionOne of the most significant challenges in modern neuroscience is thoroughly understanding the interactions between brain structures and functions.1 To develop human medicines more quickly and with more confidence, it is important to devise innovative imaging techniques that allow scientists to observe active brains. With the development of new brain imaging methods, it has become possible to track disease activity, and the measurement sensitivity of cerebral characteristics has improved beyond current clinical observations. Imaging has been used to directly visualize molecular interactions to better understand cerebral responses in patients, which can help in determining the optimal dose of experimental medicines. With the enhanced information provided by imaging, the effects of new medicines can be predicted by revealing the detailed outcomes of the medicine on brain functions relevant to the target diseases. Existing imaging techniques that allow scientists to visualize brain functions rely primarily on two main approaches: (1) magnetic resonance imaging (MRI) and (2) positron emission tomography (PET).1 MRI uses benign magnetic fields and radio waves to visualize cerebral structures and physiology. MRI is one of the main techniques used to map the brains of humans and animals due to its noninvasiveness, high contrast in soft tissue, and multiple readouts. In addition, PET uses radioactive tracers at safe doses to perform molecular imaging in humans and animals. These two techniques can accelerate the process of drug development. However, alternative approaches are needed to closely examine dynamic interactions between vascular and neural components during the drug discovery process. For example, electrophysiological recordings can be combined with different optical absorption-sensitive imaging methods, such as near-infrared spectroscopy, optical intrinsic signal imaging, and photoacoustic (PA) imaging.1 Optical scattering-sensitive imaging methods, including optical coherence tomography (OCT),2,3 laser speckle contrast imaging (LSCI),4 and diffuse correlation spectroscopy,5 can also be used. Fluorescence-sensitive techniques using exogenous dyes have also been extensively explored, including two-photon microscopy (TPM), wide-field imaging, and voltage-sensitive dye imaging.6,7 When these optical imaging techniques are compared, PA imaging can penetrate tissues at greater depths and has higher spatial resolution than other optical absorption-based techniques.8–10 This study utilizes a miniature head-mounted scanning photoacoustic imaging (hmPAI) system to study the effects of ketamine-induced cortical hemodynamic responses in awake, freely moving rats. Four experimental groups were designed and analyzed in this study. In the first group, hemodynamic changes in normal rats injected with saline were investigated. In the second group, hemodynamic changes in the brains of normal rats after ketamine injection were investigated and compared with the first group of rats injected with saline. In the third group, trained ketamine-addicted rats were injected with saline, and hemodynamic changes were monitored through the same system. Finally, in the fourth group, ketamine-addicted rats were injected with ketamine, and the hemodynamic effects of acute ketamine injection on the cerebral blood vessels of addicted rats were observed. The hmPAI system was applied to study the effects of ketamine-induced cortical hemodynamic responses in awake, freely moving rats. For these four experimental groups, the PA signals were obtained as A-line and B-scan signals, and the changes in the received PA signals were used to determine whether ketamine affected the cerebral blood vessels and/or cerebral blood volume (CBV). The hmPAI system has dimensions of only , and its total mass is , excluding any cables. Our previous studies showed that anesthesia can have a confounding effect on neural activity. When awake and anesthetized animals were compared, several differences were detected, including how neurotransmitters bind to receptors11 and changes in the relative cerebral blood volume and other responses to stimuli.12 In addition, not all brain regions were equally affected by anesthesia,13 providing an additional confounding factor. Here, our hmPAI system allowed us to study the effect of ketamine on awake and freely moving rats without the confounding effects of anesthesia. We first used PA B-scan and C-scan imaging to assess the real-time cortical hemodynamic changes induced by ketamine in normal and ketamine-addicted rats. Next, we compared the real-time cortical hemodynamic changes with cortical hemodynamic changes induced in the same brain regions by ketamine in the ketamine-addicted rat model. Overall, the goal of this compact hmPAI system is to meet the diverse needs of neuroscientists performing preclinical cerebral studies. 2.Materials and Methods2.1.Miniature hmPAI SystemFigure 1 shows a schematic of the developed hmPAI system, including the scanning control, laser illumination, PA/ultrasound (US) signal acquisition, and experimental setup. The multichannel Verasonics high-frequency US platform (Vantage 128, Verasonics Inc., Kirkland, Washington) was employed for dual-modality imaging (PA imaging and US imaging). The hmPAI system was fully controlled by a custom graphical user interface developed in MATLAB® (R2007a, MathWorks Inc., Massachusetts, Boston). To operate the system in US or PA mode, a trigger was used to synchronize the laser excitation and data acquisition. A wideband 48-MHz ultrasonic transducer with a large numerical aperture was used to efficiently collect the PA signals generated by cortical blood vessels. This transducer had a fractional bandwidth of 57.5%, a focal length of 9 mm, and a 6-mm active element.14 The excitation laser was a compact Nd:YAG laser system with an integrated tunable optical parametric oscillator (OPO) system (SpitLight 600 OPO, InnoLas Laser GmbH, Krailling, Bavaria, Germany). The OPO generates pulses at a 20-Hz repetition rate with tunable wavelengths ranging from 680 to 2400 nm.14 A fiber bundle was used to transmit laser light to the tissue surface through four output ends. The fiber output ends were positioned to illuminate the tissue in an approximately ring-shaped region to achieve dark-field illumination.15 The detailed design of the miniature head-mounted holder for the hmPAI system is shown on the right side of Fig. 1. An Arduino UNO controller (Arduino Corp., Ivrea, Italy) provided the power supply and scanning control for the four linear servo motors. Two -axis motors (versus-19, Solarbotics Ltd., Canada) and two -axis motors (versus-19, Solarbotics Ltd., Canada) were controlled by digital signals for - and -direction scanning, respectively. The minimum step size for the selected linear motor was (based on the experimental results). The hmPAI system was developed to provide A-scans, B-scans (i.e., 2D images with one axis being the lateral scanning distance and the other axis being the imaging depth), and C-scans (i.e., 3D images) of the region of interest (ROI). A 3D-printed -axis holder with two slots was designed to hold the two linear motors, and a hollow sink in the center part of the holder was designed as a water tank to ensure efficient acoustic coupling during scanning. A 3D-printed -axis holder with two slots was designed to hold the -axis linear motors. The 3D-printed holder for the transducer was designed with four slots to hold the four output ends of the fiber bundle at the appropriate light emission angles and a single slot to tightly hold the selected ultrasound transducer. The PA probe (including the removable fiber bundle-based illumination system, one US transducer, and a customized jacket) was attached to the scanning stage with a 3D-printed holder. The -axis and -axis holders were designed using the computer-aided design software package SolidWorks 2015 (Dassault Systemes SA., Massachusetts) and fabricated using a 3D printer (Shuffle 4k, Phrozen, Inc., Hsinchu, Taiwan) with an accuracy of 0.03 mm (ABS Like). The incident energy density at the imaging sample surface was estimated to be to , which did not exceed the American National Standards Institute safety limit (). 2.2.Experimental AnimalsIn total, six male SD rats (National Laboratory Animal Center, Taiwan) weighing between 250 and 350 g were used in the cortical blood vessel imaging experiments, with PA A-line and B-scan imaging performed at the same bregma locations. Three normal rats were injected with saline or ketamine (i.e., group 1 and group 2) to compare the hemodynamics of in the brain before and after injection. Additionally, three ketamine-addicted rats were injected with saline or ketamine (i.e., group 3 and group 4), and the hemodynamics of the brain were compared before and after injection. All animals were housed in a controlled room (temperature , relative humidity 50% to 60%) on a 12/12 h light/dark cycle (light phase beginning at 7 am) with free access to food and water.16 All experimental procedures, animal care protocols, and protocols requiring ethical oversight were performed following the guidelines approved by the Institutional Animal Care and Use Committee of the National Health Research Institute (approved protocol number: NHRI-IACUC-107100-A). The animals were initially anesthetized with 3% isoflurane (Bowlin Biotech Corp., Taoyuan, Taiwan). The anesthetized rats were mounted on a custom acrylic stereotaxic head holder,17 and the skin and muscle were removed from the skull to expose the bregma, which was used as a landmark.18 The anteroposterior distance between the bregma and the interaural line was directly measured;19 the bregma was found to be located at a distance of (mean ± standard deviation) from the interaural line.16 Furthermore, a craniotomy was performed for each animal, and a bilateral cranial window of approximately 8 (horizontal) × 6 (vertical) mm was created using a high-speed drill. 2.3.Experimental Protocol and Timeline for the Ketamine Addiction Rat ModelThe ketamine experimental protocol and timeline for the hmPAI system are shown in Fig. 2. A ketamine injection of 0.5 ml was given over 1 min at a consistent dose of 10 mg per kg [Fig. 2(a)]. Figure 2(b) shows the four experimental groups. Group 1 consisted of normal rats injected with saline; group 2 consisted of normal rats injected with ketamine; group 3 consisted of ketamine-addicted rats injected with saline; and group 4 consisted of ketamine-addicted rats injected with ketamine. The experimental protocol is shown in Fig. 2(b). The baseline PA signal was recorded for 5 min (before saline or ketamine injection); then, the PA signal was recorded for 30 min after injection in the four groups [i.e., the normal rats injected with saline (group 1), the normal rats injected with ketamine (group 2), the addicted rats injected with saline (group 4) and the addicted rats injected with ketamine (group 4)]. The PA signals were acquired with a block design paradigm, as shown in Fig. 2(c). The task began in the baseline state for 5 min. Then, a constant concentration of 10 mg per 1 kg was injected for 1 min during the “ON” state, which was followed by a recovery period of 30 min. 2.4.Ketamine Self-Administration Rat ModelThe rats in groups 3 and 4 were trained to self-administer ketamine in a substance abuse animal model. In this model, the rats were pretrained to press a lever using food pellets. The rats were food-restricted () for 48 h prior to food training. During the 1 h training session, the animals were trained to press a lever to receive a single food pellet (45 mg; BioServe Biotechnologies, Ltd., Beltsville, Maryland) at a fixed ratio of 1. Only one lever was extended into the operant testing chamber during the initial food training period. Animals took 3 to 4 days to meet the criteria (defined as earning 100 food pellets within the 1 h session for three consecutive days). Next, surgery was performed to implant tubing for ketamine delivery. Rats received intravenous catheterization surgery under isoflurane (2% v/v) anesthesia at least 3 days after the completion of food pretraining. The external jugular vein was implanted with Silastic® tubing (; ; Dow Corning, Midland, Michigan). The other end of the tubing was connected to an injection port in a harness (Instech Laboratories, Plymouth Meeting, Pennsylvania). The catheters were flushed daily with a mixed solution of Baytril antibiotic (2.5%; Bayer AG, Leverkusen, Germany) and heparinized saline () to preserve catheter patency. The rats were fed ad libitum for 7 days following surgery, after which the rats were given 15 g of food immediately after each daily drug self-administration session. After surgery, the rats were trained to self-administer ketamine. All self-administration sessions were conducted in operant chambers (, Med Associates, Fairfax, Vermont) that were housed in sound-attenuating cubicles with a ventilation fan and linked to a computerized data collection program. Each chamber included two retractable levers and yellow stimulus lights above each lever. The rats participated in 2 h daily training sessions. Each time the rat pressed the active lever, the syringe pump delivered ketamine () from FR1 to FR2. Each ketamine infusion (4 s) was followed by a 20 s timeout period (TO20), during which additional active lever presses were recorded but produced no programmed responses. Each ketamine infusion was accompanied by illumination of the stimulus light for 20 s. The animals received a 0.1 ml infusion of heparinized saline () after each self-administration session. The self-administration training sessions were conducted until the response patterns of the rats stabilized (i.e., the number of active lever presses per 2 h session varied across two consecutive sessions). 2.5.Jugular Vein Surgical Procedure for the Ketamine Addiction ExperimentFirst, surgery was performed to connect the jugular vein to the jacket for ketamine and saline injections during experiments. Holes were cut in the chest, skin, and muscle to expose the jugular vein [Fig. 3(a)]. Next, a small incision was cut in the jugular vein [Fig. 3(b)]. A tube was inserted into the small incision in the jugular vein [Fig. 3(c)] and verified to be patent, as shown in [Fig. 3(d)]. The inserted tube was connected to the jugular vein with a surgical suture [Fig. 3(e)]. Next, a hole was cut in the back of the animal [Fig. 3(f)]. The other end of the tube was pulled through this hole in the back [Figs. 3(g) and 3(h)] and connected to the jacket [Fig. 3(i)]. All wounds were closed with surgical sutures [Fig. 3(j)], completing the operation to connect the jacket and the jugular vein. 2.6.Surgical Procedure for the Developed hmPAI SystemAfter the craniotomy, four holes were drilled, and four screws were used to secure the base plate [Fig. 3(k)]. The -axis motor holder was placed on the base plate and secured [Fig. 3(l)] with an angled slot mechanism. The angled slot mechanism and glue were used to stably affix the system to ensure that motion artifacts were minimized. Next, two -axis linear motors were placed in the -axis motor holder, and four screws were used to secure the motors in the holder, as shown in Fig. 3(m). Then, two screws were used to secure the -axis holder with the -axis motor, and four screws were placed in the -axis motor holder [Fig. 3(n)]. Finally, the transducer was secured to the -axis motor using two screws [Fig. 3(o)]. After the above steps, analgesics were given. The experimental rat recovered for 1 h; then, the rat was moved to the box to start the test. The cerebral blood vessels were monitored during the experiment through the hmPAI system placed on the top of the rat brain, as shown in [Fig. 3(p)]. 2.7.Imaging of Cortical Hemodynamic Changes in the Superior Sagittal SinusAfter the PA B-scan, the rat brain vasculature in the region of the bregma was imaged for 5 min. Next, ketamine was injected through the jacket. A 0.5-ml volume of ketamine was infused over 1 min at a consistent dose of 10 mg per kg. A laser excitation wavelength of 800 nm was used to acquire the PA images. Blood is predominantly an absorber at the selected wavelength, and this strong optical absorption guarantees that the detected PA signals mainly originate from blood vessels. We monitored changes in the in vivo A-line signal as a measure of the cortical superior sagittal sinus (SSS) diameter at the position of the bregma in normal and addicted rats. The A-line PA signal along the axial direction was normalized and fitted to a Gaussian distribution function. The axial diameter was calculated as the full-width at half-maximum (FWHM) of each Gaussian function.20 The A-line PA signal and FWHM of the PA A-line signal changed over time in both normal and addicted rats, and these changes were tracked. To monitor changes in the CBV, an ROI was created around the blood vessel in in vivo B-scans of the cortical SSS at the position of the bregma in normal and addicted rats. The number of pixels in the ROI were quantified to determine the CBV due to the use of the 800-nm wavelength light.21 3.ResultsDespite the miniaturized size, the proposed hmPAI system provided good spatial resolution (i.e., an axial resolution of 0.225 mm22) and successfully captured rapid cerebral hemodynamic changes ( for PA A-line signals) in awake and freely moving rats. Previously, we conducted ex vivo phantom tests and in vivo experiments to demonstrate the capability of the hmPAI system for small animal PA imaging.15 In this study, we performed imaging tests to detect changes in the cortical blood vessel diameter and CBV in awake, freely moving rats using light with a wavelength of 800 nm. The diameter and CBV of the selected blood vessels changed, and a significantly larger amplitude was observed in awake, freely moving rats injected with ketamine than in rats injected with saline in the nonaddicted model. Additionally, based on the PA C-scan data, the regional hemodynamics in ketamine-addicted and normal rats in awake, freely moving states were significantly different at the same bregma position. 3.1.Effects of Ketamine on Blood Vessel Diameter ChangesFigure 4 reports the in vivo changes in the A-line signal as a measure of the cortical SSS blood vessel diameter at the position of the bregma following saline and ketamine injection in both normal and ketamine-addicted rats. After the craniotomy [Fig. 4(a)] and device placement for hmPAI monitoring, the experimental rats moved freely while equipped with the hmPAI system, as reflected by the photographs in Fig. 4(b) (Video 1). The A-line PA signals along the axial direction were normalized and fitted to Gaussian distribution functions. The axial diameter was calculated as the FWHM of each Gaussian function. Figures 4(c) and 4(d) show the changes in the A-line PA signal and FWHM of the A-line signal at various time points in the saline-treated rats (Video 1). Figure 4(d) shows that the diameter of the blood vessels ranged from 0.31 to 0.73 mm. Figures 4(e) and 4(f) show the changes in the A-line PA signal and FWHM of the A-line signal at various time points in the ketamine-treated rats (Video 1). Figure 4(f) shows the changes in the A-line signal, which indicates that the blood vessel size ranged from 0.34 to 1.22 mm. The changes in the cerebral blood vessel dilation after ketamine infusion in normal and addicted rats are shown in Fig. 5. The statistical analysis results show that the changes in the FWHM of the A-line signal as percentages of the baseline in groups 1 and 2 were and , respectively [ (), paired -test; for both group 1 and group 2]. These results show that the cortical blood vessels expand significantly after ketamine injection, which suggests that the brain needs an increased blood supply after ketamine injection, which causes the blood vessels to expand. Furthermore, the changes in the FWHM of the A-line signal as percentages of the baseline in groups 3 and 4 were and , respectively [ (), paired -test, for both group 3 and group 4]. These results show that in addicted rats, the effect of ketamine injection may be influenced by habituation to ketamine, as the blood vessels in the brain did not expand noticeably, proving that our device can reliably detect changes in the dilation of cortical blood vessels. 3.2.Effects of Ketamine on CBV ChangesAccording to optical absorption spectra information found in the literature, the wavelength of 800 nm is sensitive to changes in the CBV.23,24 Furthermore, PA imaging at 800 nm contains various signals that are generated by different types of tissues, such as changes in the CBV.22,25 Therefore, the PA images acquired at 800 nm were used to detect changes in the CBV. Thus, independent measurements of changes in the CBV can be achieved by the developed wearable scanning PA imaging system with PA imaging at 800 nm being used to monitor changes in the CBV. Figure 6 reports B-scan monitoring of vasoconstriction and vasodilation in groups 1 and 2. Figure 6(a) shows the time course of blood vessel diameter changes in rats in group 1. Figures 6(b)–6(e) show cross-sections of blood vessels of rats in group 1 at different time points. Figure 6(f) shows PA B-scan images that were combined in a video to monitor blood vessel changes in group 1 (Video 2). The number of pixels in PA B-scan images of rats in group 1 at various time points is shown in Fig. 6(g) (Video 2), with the number of pixels ranging from 52 to 123. Figure 6(h) shows the time course of blood vessel changes in rats in group 2. Figures 6(i)–6(l) present cross-sections of blood vessels of rats in group 2 at different time points. Figure 6(m) shows PA B-scan images that were combined in a video to monitor blood vessel changes in group 2 (Video 2). The number of pixels in PA B-scan images of rats in group 2 at various time points is shown in Fig. 6(n) (Video 2), with the number of pixels ranging from 58 to 162. Figure 7 reports B-scan monitoring of vasoconstriction and vasodilation in groups 3 and 4. Figure 7(a) shows the time course of the blood vessel diameter changes in rats in group 3. Figures 7(b)–7(e) present cross-sections of the blood vessels of rats in group 3 at different time points. Figure 7(f) shows PA B-scan images that were combined in a video to monitor blood vessel changes in group 3 (Video 3). The number of pixels in PA B-scan images of rats in group 3 at various time points is shown in Fig. 7(g) (Video 3), with the number of pixels ranging from 74 to 102. Figure 7(h) shows the time course of blood vessel diameter changes in rats in group 4. Figures 7(i)–7(l) present cross-sections of blood vessels of rats in group 4 at different time points. Figure 7(m) shows PA B-scan images that were combined in a video to monitor blood vessel changes in group 4 (Video 3). The number of pixels in PA B-scan images of rats in group 4 at various time points is shown in Fig. 7(n) (Video 3), with the number of pixels ranging from 98 to 242. The PA B-scan results of the effect of ketamine on the cerebral blood vessels of normal and addicted rats that were obtained with the hmPAI system are shown in Fig. 8. Statistical analysis in GraphPad using paired -tests showed the changes in the numbers of pixels in PA B-scan images of rats in groups 1, 2, 3, and 4. The numbers of pixels in the PA B-scan image of group 1 before and after saline injection were and , respectively [ (), paired -test, ]. The numbers of pixels in the PA B-scan image of group 2 before and after ketamine injection were and , respectively, [ (), paired -test; ]. The numbers of pixels in the PA B-scan image of group 3 before and after saline injection were and , respectively [ (), paired -test, ]. The numbers of pixels in the PA B-scan image of group 4 before and after ketamine injection were and , respectively [ (), paired -test, ]. 4.Discussion4.1.Using the Developed hmPAI System to Compare Cerebral Hemodynamics in Awake, Freely Moving Normal and Ketamine-Addicted RatsOur previous experimental study reported that our hmPAI system can be successfully used to detect changes in the CBV and blood vessel diameter in rats in anesthetized and awake rat models in both B-scan and C-scan PA imaging modes.22 In the present study, we compared cerebral hemodynamics in response to saline or ketamine injection in freely moving normal rats and prolonged ketamine-exposed rats using the developed hmPAI system. Our findings revealed that the hmPAI system can be used to measure ketamine-induced changes in the CBV and blood vessel diameter in the brain vasculature. In addition, these ketamine-induced changes were significant in normal rats but not significant in prolonged ketamine-exposed rats. Previous ketamine studies of awake animals were limited to behavioral observations,26,27 electrophysiological recordings,28 and other measurements that do not allow for direct visualization of the cerebral dynamics, which can be accomplished by imaging studies. Most previous ketamine imaging studies were conducted in anesthetized animals.29–31 Although these studies enhanced our understanding of physiological processes and the associated neurovascular dynamics, anesthesia had a substantial effect on vascular, electrical, metabolic, and other physiological processes and altered the relationship between neural and vascular components.32–38 For example, anesthesia has been shown to alter how neurotransmitters bind to receptors.11 Because ketamine acts as an N-methyl-D-aspartate (NMDA) receptor antagonist, the altered binding caused by anesthesia is a confounding factor in in vivo studies on the effect of ketamine on physiological processes. Therefore, compared with the studies conducted on anesthetized animals, our findings in awake, freely moving rats are better related to observations in humans. Caution must be taken when translating data from neuroimaging studies of anesthetized animals to conclusions in awake humans, especially for drug addiction studies. Additional studies are needed to resolve discrepancies between awake and anesthetized animals. Various investigators have reported differences in neurovascular coupling in awake and anesthetized animals, which could be attributed to different combinations of stimulation parameters (stimulus duration, intensity, frequency, stimulation site, etc.).39–41 These differences can also be attributed to the various anesthesia methods because anesthetic agents have distinct effects on neurovascular coupling and neuronal response patterns.42–44 Thus, the validity of the stimuli used in in vivo studies must be carefully considered. A combination of stimulation parameters that can elicit robust responses under anesthesia may not necessarily be relevant in the awake state. Our findings are the first to characterize the modulatory effects of ketamine-induced hemodynamic changes in awake rats. We found that the blood vessel diameter changed in response to ketamine stimulation in normal rats, whereas the blood vessels of rats subjected to prolonged ketamine self-administration did not change significantly in response to ketamine stimulation. Several previous functional MRI studies of ketamine injection in awake subjects have also shown cerebral activation induced by ketamine in nonaddicted subjects.45,46 In a PET study that compared anesthetic and subanesthetic doses of S-ketamine, both anesthetic and subanesthetic doses were found to induce significant increases in whole-brain cerebral blood flow in human subjects.47 The subanesthetic ketamine dose used in the present study corresponds to doses used to treat depressive disorder. We found that subanesthetic doses of ketamine increased blood vessel diameter and CBV in normal rats but did not affect the blood vessel diameter and CBV in rats subjected to prolonged ketamine self-administration. After prolonged ketamine self-administration, the rats appeared to develop a tolerance toward the dilative effect of ketamine in the cerebral vasculature. In imaging studies of anesthetized animals,31,47 cerebral activation in animals that were chronically injected with ketamine was lower than that in normal animals, which corresponds to our results. 4.2.Future Applications of the Developed hmPAI System for Studying Pharmacological Effects in Awake, Freely Moving AnimalsThe developed hmPAI system uses PA effects to detect cerebral activation. PA imaging cannot be used to directly measure neuronal and glial activation;9 instead, PA imaging detects changes in hemodynamic activities resulting from neuronal and glial activation. This process assumes that blood flow and neural activities are directly related. Although this assumption is true under normal conditions, recent studies have noted that neurovascular coupling may be abnormal in certain diseases48,49 or under the influence of certain drugs, such as ketamine, which was used in this study. This finding would limit the direct application of PA signals in neuroimaging. However, Wang et al. recently reported a new PA solution that allows users to simultaneously image cerebrovascular anatomy, the total concentration and hemoglobin oxygen saturation, and blood flow in awake mice.50 By combining these hemodynamic parameters, PA technology allows the cerebral metabolic rate of oxygen () to be determined, which might open a new avenue for directly detecting metabolic rates.51 Whole-brain direct imaging of neuronal activity in real time has faced significant challenges. Gottschalk et al.52 used mice that were genetically engineered to express the calcium indicator GCaMP6f to demonstrate ex vivo and noninvasive in vivo functional PA neuroimaging. This approach enables rapid, high-resolution mapping of whole-brain neuronal activity while simultaneously monitoring hemodynamic changes. In addition to PA neuroimaging techniques, significant efforts have been dedicated to developing preclinical imaging techniques that can resolve neurovascular communications, especially in awake animals. Our results show that the proposed hmPAI system can be used to image awake, freely behaving rodents; thus, our novel system is an optimal tool for understanding hemodynamic functions. Data on cerebral hemodynamics in response to functional stimulation is more realistic when the animal is awake and freely moving.51 Additionally, various details, such as vasodilatory responses, the intensity, and latency/recovery times, allow for a more in-depth understanding of hemodynamic functions. Although standard optical imaging methods, including LSCI53–55 and TPM,55,56 can be used for neurovascular imaging of awake and freely moving animals, PA imaging has several advantages over standard optical imaging methods. LSCI can be used to image large areas, provides blood flow information, and achieves a spatial resolution of up to .57 However, LSCI can only be used to image superficial blood vessels and does not provide 3D images. Although the hmPAI system was used to image the SSS, a superficial blood vessel, in this study, this system can be used to image deeper cerebral regions (up to 10 mm below the transducer surface)15 and produce C-scan images. TPM has a higher spatial resolution and can be used to image individual cells. However, TPM has several disadvantages, including a smaller field of view (FOV) and the need for fluorescence labels. In contrast, PA imaging can be used to observe larger FOVs and images blood vessels based on intrinsic contrast. Other groups have also proposed PA systems for imaging awake animals. In traditional, bulkier PA systems, animals are fixed in a head restraint on a treadmill to allow for some movement.51,58 This type of setup prevents issues such as motion artifacts and large system weights, ensuring that complex lens and mirror systems can be used for high-resolution imaging. However, the behavior of the restrained animal does not completely reflect normal behavior. Thus, wearable systems with much smaller weights (1.8 to 8 g) than conventional PA systems have been designed.59–62 The use of microelectromechanical system (MEMS) scanning reduces the system size by eliminating the need for bulky linear motors when performing B- or C-scans. Transparent ultrasound transducers (TUTs) have also been used in wearable PA systems.59–61 TUTs are thin piezoelectric films that can be used as cranial windows. The use of TUTs not only decreases the overall size of the system but also ensures that bone regrowth does not obscure the FOV during longitudinal imaging studies. The weight of wearable PA systems for rats can reach as low as 8 g,60 whereas the weight of the hmPAI system is 58.7 g.61,63 The axial resolutions of existing wearable PA systems range from 105 to ,61,64 whereas the axial resolution of the hmPAI system is .22 However, the main goal of the hmPAI system was to design a simple setup with lower costs, which leads to limitations, such as an increased weight and lower resolution. Our system has several limitations. The developed hmPAI system is currently limited to a single imaging plane and relies on a scanning motor to move the probe in B- and C-scan imaging. Thus, the hmPAI system can be improved further using miniature 2D matrix array transducers to increase the FOV65 or MEMS technology-based scanning systems66 to increase the imaging speed. These improvements would allow us to use larger animal models, such as rabbits, or to perform whole-brain imaging. However, these changes would also limit the large amount of real-time data collected and the number of reconstructed voxels that need to be stored and processed for real-time 3D imaging datasets. A graphics processing unit can be used to accelerate real-time 3D reconstructions.67 Another limitation of the hmPAI system is the bulky size of the laser system. Recent studies have utilized laser diodes and light-emitting diodes to improve the portability of PA systems.68 However, the lower output energy of these systems often results in a lower signal-to-noise ratio, and coded excitation methods or signal processing methods such as empirical mode decomposition, Wiener deconvolution, and wavelet-based methods are needed to improve the system resolution.69,70 In this study, we demonstrated that the developed hmPAI system can be used to monitor hemodynamic changes in response to ketamine stimulation and that differences between normal and ketamine-addicted animals can be detected. Future applications can combine behavioral studies with imaging to simultaneously study neural function and behavior in addicted animals. Longitudinal studies can also be used to monitor the long-term effects of addiction. Finally, the studies in ketamine-addicted animals can be extended to addiction studies for amphetamines and other controlled substances. 5.ConclusionWe developed a hmPAI system that includes a detachable fiber bundle-based illumination system and a single transducer ultrasound platform that can be used to successfully examine cerebral hemodynamics in awake, ketamine-addicted rats. Our method utilizes fiber bundle-based dark-field illumination and a 2D scanning mechanism with four linear servo motors. Our hmPAI system monitored ketamine-induced changes in cerebral blood vessel diameters and blood volume in vivo. After saline injection in normal rats, the change in the diameter of the cerebral blood vessels in A-line signals relative to the baseline was , and the change in the diameter of the cerebral blood vessels in normal rats after ketamine injection was relative to the baseline. Statistical analyses indicated that this change was significant (). There was no significant change in ketamine-addicted rats that were treated acutely with either saline or ketamine. The PA B-scan results of the number of pixels as an indicator of the CBV were similar. Ketamine injection in normal rats led to a significant increase in the number of pixels, from to (). In addicted rats, however, ketamine injection did not induce a significant change in the CBV. There was also no significant change in control rats (saline injection in normal and addicted rats). We are the first group to use a wearable hmPAI system to monitor changes in cerebral blood vessels and blood volume in response to ketamine. The hmPAI system can be used to study different experimental models, such as the ketamine addiction model in awake, freely moving rats, in future work. We can accurately monitor interesting cerebral regions, and the developed system could be used in functional brain research. Overall, the developed hmPAI system can complement existing optical imaging techniques and has the potential to be a useful tool for different experimental models in brain research. AcknowledgmentsThis research was funded by the National Science and Technology Council of Taiwan (Grant Nos. 109-2314-B-400-037, 110-2221-E-400-003-MY3 and 111-3114-8-400-001); the National Health Research Institutes of Taiwan (Grant Nos. BN-111-GP-02, NP-111-SP-05, NHRI-EX110-10829EI, NHRI-EX111-11111EI, and NHRI-NTHU-111); and the Ministry of Economic Affairs, Taiwan (Grant Nos. 110-EC-17-A-22-1650 and 111-EC-17-A-22-1650). ReferencesL. D. Liao et al.,
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BiographyYuhling Wang received her PhD in biomedical engineering from the University of Virginia, USA, in May 2014. She is currently a postdoctoral fellow at the Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Taiwan. Her research interests include ultrasound and photoacoustic imaging. Chia-Hua Tsai received her MS degree in pharmacy from China Medical University (CMU), Taiwan, in June 2010. Since July 2010, she has been a research assistant at the Institute of Biomedical Engineering and Nanomedicine and the National Institute of Cancer Research, National Health Research Institutes, Taiwan. Tsung-Sheng Chu received his BS degree in biomedical engineering from Chung Yuan Christian University, Taoyuan, Taiwan, in June 2018. In July 2018, he joined the NanoNeurophotonics Lab at the Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Taiwan, as an MS student. Yun-Ting Hung is currently a research assistant at the Center for Neuropsychiatric Research, National Health Research Institutes, Taiwan. Mei-Yi Lee is currently a postdoctoral fellow at the Center for Neuropsychiatric Research, National Health Research Institutes, Taiwan. Hwei-Hsien Chen is currently an investigator at the Center for Neuropsychiatric Research, National Health Research Institutes, Taiwan. Li-Tzong Chen received his MD degree from Kaohsiung Medical University (KMU), Taiwan, in July 1982. He received his PhD from the Graduate Institute of Clinical Medicine at KMU in July 2001. He currently serves as the Director of the National Institute of Cancer Research at the National Health Research Institutes (NHRI), Taiwan, in addition to professorial appointments at KMU, National Cheng Kung University (NCKU), Taiwan, and Taipei Medical University, Taiwan. He also holds physician positions at NCKU Hospital, KMU Hospital, and NHRI. His research interests include the development of innovative strategies for treating prevalent gastrointestinal tract (including hepatobiliary and pancreatic) cancers. Tzong-Rong Ger received his PhD in power mechanical engineering from National Tsing Hua University of Taiwan in 2013. He is currently an assistant professor in the Department of Biomedical Engineering, Chung Yuan Christian University, Taoyuan, Taiwan. He has published more than 25 papers in reputable journals and applied for eight invention patents. His research interests include biosignals, image processing, computer-aided mechanism design, biomedical opto-mechatronic systems and biomicrofluidic devices, electro-optical technology for signal cell applications and nano/microstructure (particle, wire, and fiber) fabrication, and material synthesis. Yung-Hsuan Wang graduated from Shanghai University of Traditional Chinese Medicine, Shanghai, China, in 2019 and received her MD degree from Hong Kong Baptist University in 2020. Currently she serves as a research assistant at the National Institute of Cancer Research, National Health Research Institutes. Her research focuses on the noninvasive imaging evaluate tumor mouse model oxygen saturation dynamics in preclinical studies and biomedical signal application in clinical trials, especially in pancreatic cancers and PA imaging systems. Nai-Jung Chiang received her MD degree from National Defense Medical Center, Taipei, Taiwan, in 2005 and her PhD from Institute of Clinical Medicine, College of Medicine, National Cheng Kung University in 2020. Currently, she serves as an attending physician at Taipei Veterans General Hospital and adjunct assistant investigator of the National Institute of Cancer Research, National Health Research Institutes. Her research focuses on the drug development of investigator-initiated clinical trials and post-hoc associated translational studies, especially in solid tumors. She has published papers related to the detection of circulating tumor cells from blood and bile juice using novel probes on a microfluidic platform. Lun-De Liao received his PhD in electrical engineering from National Chiao Tung University, Taiwan, in 2012. He was a research scientist at the Singapore Institute for Neurotechnology at the National University of Singapore from August 2012–May 2014 and a senior research scientist from 2014–2016. In November 2015, he joined the Institute of Biomedical Engineering and Nanomedicine at the National Health Research Institutes, Taiwan, as a principal investigator leading the NanoNeurophotonics Lab. He has published over 100 peer-reviewed SCI journal articles (H-index: 33), including articles in the Journal of Cerebral Blood Flow & Metabolism, Small, the Proceedings of the IEEE, and Neuroimage, and Advanced Materials journals, and has 14 issued patents. His research interests include brain–computer interfaces, neurophotonics, experimental neuroscience, and in vivo optical microscopy. In 2014, he received first place in the IFMBE Young Investigator Award from the IFMBE society. In 2021, he was selected for the Outstanding Young Scientist Award from NHRI, Taiwan. In December 2021, he was selected in the 59th Ten Outstanding Young Persons in Taiwan by the Ten Outstanding Young Persons Foundation, Taiwan. In 2022, he was selected for the Generation T Award, one of most promising awards for young leaders in Asia, selected by Tatler Asia. |
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