Abstract
Photoswitchable ligands can add an optical switch to a target receptor or signaling cascade and enable reversible control of neural circuits. The application of this approach, termed photopharmacology, to behavioral experiments has been impeded by a lack of integrated hardware capable of delivering both light and compounds to deep brain regions in moving subjects. Here, we devise a hybrid photochemical genetic approach to target neurons using a photoswitchable agonist of the capsaicin receptor TRPV1, red-AzCA-4. Using multifunctional fibers with optical and microfluidic capabilities, we delivered a transgene coding for TRPV1 into the ventral tegmental area (VTA). This sensitized excitatory VTA neurons to red-AzCA-4, allowing us to optically control conditioned place preference in mice, thus extending applications of photopharmacology to behavioral experiments. Applied to endogenous receptors, our approach may accelerate future studies of molecular mechanisms underlying animal behavior.
Keywords: Photopharmacology, fibers, chemical genetics, capsaicin, TRPV1, neural probes
Graphical Abstract
INTRODUCTION
To illuminate the molecular mechanisms underlying neuronal function, a number of chemical and genetic techniques have been developed to place cells under optical control.1–3 As demonstrated by optogenetics, the enhanced spatiotemporal precision attained using an optical stimulus is enabling to understanding how specific circuits control behavior and animal physiology.1,4 However, optogenetics has so far relied on exogenously expressed microbial rhodopsins, thus offering a means to investigate electrophysiological, but not molecular, mechanisms underlying neural dynamics and behavior. Light-controllable ligands present an attractive alternative to optogenetics, as they add an optical switch to a pharmacological agent to place cell signaling pathways under optical control.5 Of particular utility are azobenzene photoswitches, which can be synthetically incorporated into a small-molecule ligand.6,7 Their activity can then be reversibly tuned using different wavelengths of light via trans/cis isomerization. Termed photopharmacology,8 this approach has been applied to manipulate ion channels, G protein-coupled receptors (GPCRs), enzymes, components of the cytoskeleton, and even cellular membranes.6,9–14 These photoswitchable small molecules can target endogenous receptors or, alternatively, genetically inserted exogenous proteins to create a wide variety of signaling events.
Since its inception, photopharmacology has been applied to primary culture and tissues (i.e. Xenopus oocytes, pancreatic islets, acute brain slices),15–17 owing to the ease of light delivery. The challenges associated with simultaneous delivery of light in addition to the photoswitchable compounds have largely limited in vivo application of photopharmacology to small and transparent model organisms, including zebrafish larvae and Caenorhabditis elegans.18,19 Unfortunately, the utility of photopharmacology for studying mammalian behavior has been hindered by the lack of available hardware for delivering the chemical probes and optical stimuli to nonsuperficial brain regions. Although several recent studies have applied azobenzene-based probes to control behavior in freely moving rodents, they used commercially available devices composed of a guide cannula which houses interchangeable injectors for ligand and light delivery.20–22 Device exchange may cause subject stress during experiments and obfuscate behavioral assays, and additionally increase the probability of infection or tissue damage. Furthermore, commercial cannulas offer limited options for tailoring of functional features to the scientific question. As such, the development of customizable and integrated hardware that allows both chemical and optical stimulation in deep brain regions of freely moving subjects may facilitate the adoption of photopharmacology by the neuroscience community.
A number of devices permitting concurrent optical and chemical stimulation in the rodent brain have been developed.23–26 Lithography-based microfabrication has emerged as a powerful technique to produce tethered and wireless multifunctional neural implants.24,26–31 However, their dissemination and adoption by the larger neuroscience community has been hindered by high costs and limited scalability. Another strategy, the thermal drawing process (TDP), allows the creation of fiber-based neural implants with multiple functionalities.25,32,33 During the TDP, a macroscale (centimeters in diameter) preform is fabricated with the same cross-sectional geometry and functional features as the final device. The preform is then heated above the materials’ glass transition temperature (Tg) and stretched to create hundreds of meters of a sub-mm-sized device with preserved cross-sectional geometry. The TDP is compatible with a variety of polymers, glass, and metals, enabling the fabrication of multifunctional fibers that can feature microfluidic channels, optical waveguides, and electrodes. From a single preform that is typically 20–30 cm long, the TDP can yield hundreds of neural implants, making it a cost-efficient and scalable alternative to microfabrication.34 Additionally, these devices are versatile in terms of functionality and can be customized to suit the particular needs of any given experiment. Although the TDP has been used to create implants for targeting the brain and spinal cord,25,32,33 to date they have not been combined with photopharmacology to manipulate neuronal function.
In this study, we devise a photochemical genetic method to manipulate neural circuits using the photoswitchable capsaicin (CAP) analog, red-AzCA-4.35 To translate this approach from cell culture to behavioral experiments, we used the TDP to create a flexible multifunctional fiber that can deliver optical and chemical stimulation to deep brain regions in mice. We targeted the ventral tegmental area (VTA), a midbrain region involved in dopaminergic reward signaling, by injecting a virus coding for the transient receptor potential vanilloid family member 1 (TRPV1, capsaicin receptor) under the CaMKIIα promoter. This sensitized excitatory neurons to red-AzCA-4, which could manipulate conditioned place preference behavior in freely moving mice in a light-dependent manner. This proof-of-concept study illustrates how multifunctional fiber-based neural probes can be used to translate the use of chemical photoswitches from in vitro studies to behavioral experiments in vivo. Our approach is flexible and modular and can be used to target a wide variety of cellular signaling systems through multiple modalities. This sets the stage for new applications of photopharmacology in manipulating neural circuits in vivo to unveil molecular mechanisms underlying behavior.
RESULTS AND DISCUSSION
Optical Control of TRPV1-Expressing Neurons Using red-AzCA-4.
We previously developed photoswitchable CAP analogs that can optically control TRPV1, a nonselective cation channel which is expressed primarily in nociceptive neurons.36,37 The first generation probe, AzCA-4,38 includes an azobenzene photoswitch that can be isomerized between the cis/trans forms with UV-A/blue light, respectively. AzCA-4 possessed a greater efficacy toward TRPV1 in the cis-form, and isomerization could reversibly control endogenously expressed TRPV1 in sensory neurons in vitro and ex vivo. However, due to the phototoxicity and poor tissue penetration of UV-A (350–380 nm) irradiation required to generate the cis-isomer, AzCA-4 was not suitable for applications in vivo. A red-shifted derivative, red-AzCA-4,35 which possesses four chlorine atoms at the ortho-positions of the azobenzene moiety (Figure 1A), was designed to isomerize to the more potent cis-form with green (500–590 nm) as well as the UV-A light, while returning to the trans-form upon exposure to blue light (410–480 nm). This increases its applicability toward experiments in intact tissue, as longer wavelength visible light is less phototoxic.39,40 Although red-AzCA-4 was shown to behave similarly to AzCA-4 in cultured cells heterologously expressing TRPV1, its utility in modulating activity of TRPV1-expressing neurons in vitro and in vivo remained unexplored.
To sensitize neurons to CAP and red-AzCA-4, we utilized a lentivirus carrying the TRPV1 transgene under the excitatory neural promoter calmodulin kinase II α-subunit (CaMKIIα). TRPV1 expression was linked to a red fluorescent protein mCherry by a post-transcriptional cleavage linker p2A41 (Lenti-CaMKIIα::TRPV1-p2A-mCherry).42 In primary rat neurons, lentiviral transduction affected nearly 100% of the cells as marked by colocalization of mCherry expression with neuronal marker NeuN (Figure 1B).43 To test the activity of red-AzCA-4 on transduced neurons, the culture was incubated with the Ca2+-sensitive dye Fluo-4-AM, and the intracellular Ca2+ concentration ([Ca2+]i) was monitored using confocal fluorescence imaging. To enable simultaneous imaging of the green Fluo-4 fluorescence during photoswitching, red-AzCA-4 was isomerized to the cis-form using a 375 nm (UV-A) quenching laser. No fluorescence increase was observed on addition of the trans-compound; however, irradiation with a 375 nm laser caused a rapid increase in Fluo-4 fluorescence, demonstrating that cis-red-AzCA-4 increased the [Ca2+]i (Figure 1C–E). In control experiments, addition of CAP also caused an increase in [Ca2+]i which decayed over time due to TRPV1 desensitization (Figure S1A,B). Additionally, UV-A irradiation alone or a vehicle addition (0.1% DMSO in buffer) ± irradiation did not affect [Ca2+]i (Figure S1C,D). These results indicate that the cis-isomer of red-AzCA-4 activates TRPV1 more strongly than the trans-isomer, which is consistent with the results obtained in previous studies.35,38
Developing a Multifunctional Fiber for in Vivo Photopharmacology.
Fibers capable of optical stimulation alongside chemical/virus delivery were produced via thermal drawing of macroscale preforms (Figure 2A,B). The fibers contained a polymer optical waveguide and two microfluidic channels, which were fabricated out of polycarbonate (PC) and cyclic-olefin-copolymer (COC) (Figure 2C, top). These materials possess similar Tg (PC, Tg = 150 °C; COC, Tg = 158 °C), making them suitable for co-drawing. By tuning the preform feeding and fiber drawing speeds, the cross section of the preform (3.7 × 2.6 cm2) was reduced to 480 × 340 μm2 in the final fiber (Figure 2C, middle, Figure S2). Connectorization of the microfluidic channels to ethyl vinyl acetate (EVA) tubing and the PC/COC waveguide to a ceramic optical ferrule (Figure S3) afforded the final implant with light and fluid-delivery capabilities (Figure 2C, bottom). The final device was miniature (2.5 × 2 × 0.5 cm3) and lightweight (0.82 ± 0.06 g), which permitted unconstrained movement of mice in their home cage following implantation.
We characterized the optical waveguide using fiber-coupled LEDs across the UV–visible range by measuring the optical loss over different lengths of fiber (Figure 2D, left). Optical losses across the visible range spanned 0.67 ± 0.03, 0.42 ± 0.03, 0.48 ± 0.07, 0.41 ± 0.03, and 0.39 ± 0.02 dB/cm for 420, 470, 565, 595, and 620 nm wavelengths, respectively (Figure 2D, right). These values are comparable to those previously obtained in thermally drawn polymer fibers [1.2–2.7 dB/cm].25,32,33,44 This makes our device suitable for controlling photoswitchable ligands with light across the visible spectrum.39 Due to the absorbance of PC used as the waveguide core in the UV-A range, the optical loss at 365 nm was 2.03 ± 0.15 dB/cm. We then tested the microfluidic channels by injecting Trypan blue dye into a “phantom brain”, consisting of 0.6% agarose gel. No leaks were observed along the fiber length, and the fluid delivery did not interfere with optical illumination (Figure 2E). The dead volume within the microfluidic channel of the fiber was 0.36 μL (0.085 × 0.17 × 25 mm3). The dead volume within the EVA tubing was minimized by inserting a 36g needle all the way until the EVA interfaces with the fiber and by filling the EVA tubing with solution. Thanks to the large difference between the EVA tube lumen and the 36g needle diameter, the air was effectively pushed out of the EVA tubing and replaced by the solution to be injected. Furthermore, fluid return rates were >80% at injection speeds ranging between 10 and 400 nL/s and an efficiency ~60% at 1 nL/s (Figure 2F). The slight decrease in efficiency observed at very low flow rates can likely be explained by the evaporation of water over the duration of the measurement (~2.5 h). Taken together, these results demonstrate that our fibers can concurrently deliver both optical and chemical (fluid) stimuli.
In Vivo Photopharmacology of Mesolimbic Circuitry.
To test the utility of our fibers for delivering and optically actuating photoswitchable ligands to deep brain regions in vivo, we implanted our devices into the VTA in mice. The VTA is known as a dopaminergic hub involved in reward signaling and reinforcement learning, and its dopaminergic projections to the nucleus accumbens (NAc) and medial prefrontal cortex (mPFC) are well characterized.45–47 The fibers were used to deliver Lenti-CaMKIIα::TRPV1-p2A-mCherry virus (1.5 μL >1010 particles/mL) into the VTA during the implantation surgery (Figure 3A,B). This one-step surgery reduces the tissue damage that may occur during multiple surgeries and also ensures colocalization of the expression profile with the optical and pharmacological interrogation volume.32 Six to eight weeks post-implantation, we confirmed TRPV1 expression and the fiber position in the VTA (Figures 3C and S4).48,49
Next, we tested the ability of CAP and red-AzCA-4 to activate transduced TRPV1-expressing VTA neurons in vivo by quantifying the expression of c-Fos.50 This immediate early gene serves as a marker of neuronal activity, as its expression and translocation to the nucleus are upregulated in recently activated neurons.51 A separate cohort of mice received a Lenti-CamKIIα::mCherry virus as a negative control. CAP or red-AzCA-4 were injected through the microfluidic channels of the implanted fibers over 5 min concurrently with illumination. We showed that CAP injection (10 μM) into TRPV1-expressing mice (N = 7) caused an increase in c-Fos expression in the VTA when compared to those only expressing mCherry (N = 7) (Figure 3D,E). The locations of the c-Fos expressing cells correlated with the region displaying mCherry fluorescence. Next, red-AzCA-4 (1 μM) was injected under either 420 or 565 nm illumination. We observed a greater c-Fos expression in the VTA in the presence of green light (N = 7) compared to blue light (N = 5), indicating that cis-red-AzCA-4 activates VTA neurons more strongly than the trans-isomer (Figure 3D,F). c-Fos immunofluorescence imaging in the NAc and mPFC also revealed greater c-Fos expression in response to cis-red-AzCA-4 compared to trans-red-AzCA-4 (Figure S5). Consistent with prior work, these results demonstrate that multifunctional fibers are capable of delivering viruses, chemicals, and light to deep brain regions. Notably, both CAP and red-AzCA-4 activate sensitized neurons, where red-AzCA-4 affords an additional level of optical control. As such, our approach is suitable for photopharmacological manipulation of neural circuits in vivo.
Optical Control of Place Preference Using red-AzCA-4.
Activation of the mesolimbic pathway is associated with rewarding/salient stimuli and is known to drive behavioral preference in mice.52 To test the ability of red-AzCA-4 to activate the mesolimbic pathway in a light-dependent manner, we performed a three-chamber conditioned place preference (CPP) assay.53 Mice were implanted with multifunctional fibers and concomitantly injected with a Lenti-CaM-KIIα::TRPV1-p2A-mCherry into the VTA, and the CPP assay was performed six to eight weeks post-implantation. Mice injected with Lenti-CaMKIIα::mCherry served as negative controls. The first day of the CPP protocol began with a 45 min pretest during which each mouse could freely explore a three-chambered arena. The left and right chambers were distinguishable by patterns on the floor and walls (holes vs bars) (Figure 4A). On the second and third conditioning days, the mice were confined to a single chamber where they received unique chemical and optical stimulation. Between mice, the stimuli were randomized with respect to the chamber. The fourth day consisted of a post-test where each mouse could explore the entire box. The relative time spent in each chamber was compared between day one (pretest) and day four (post-test) to determine the preference of the mice for the two stimuli. A cohort of mice was conditioned to compare CAP vs vehicle control, while another received red-AzCA-4 injections with either blue or green light (Figure 4B). In the pretest, TRPV1-expressing mice displayed no preference for either chamber (p-value = 0.6580, N = 19). However, in the post-test, mice spent more time in the chamber in which they received a CAP injection (10 μM) compared to the vehicle control (0.2% DMSO) (p-value = 0.0313, N = 7) (Figure 4C,D). Similarly, mice injected with red-AzCA-4 (1 μM) preferred the chamber in which they received green (cis-red-AzCA-4) compared to blue illumination (trans-red-AzCA-4) (p-value = 0.0342, N = 12) (Figure 4C,D). Mice expressing mCherry alone did not develop a preference for CAP over the vehicle control (pretest p-value = 0.6406, post-test p-value = 0.7422, N = 8) (Figure 4E), indicating that exogenous TRPV1 expression in the VTA is necessary to drive preference. These results are consistent with our in vitro studies and c-Fos quantification experiments, where cis-red-AzCA-4 activates TRPV1 more potently. These findings confirm that red-AzCA-4 combined with the multifunctional fibers enable optical control behavior in freely moving mice.
Since the first azobenzene-based photoswitches were employed to reversibly activate ion channels,16,54,55 photopharmacology has evolved beyond proof-of-principle. An optical switch can be placed on virtually any pharmacological agent to modulate defined components of the cellular signaling machinery. Although chemical photoswitches have been extensively applied to in vitro and in vertebrates,9 their use in the neuroscience community has lagged primarily due to challenges in applying these probes to mammalian models. Bringing the chemical flexibility of photopharmacology to the neuroscience community is therefore an important step in understanding the molecular mechanisms underlying behavior.
In this study, we demonstrated that photopharmacological manipulation of ion channels affords optical control of neural circuits sufficient to modulate behavior. Our in vivo studies show that green light potentiates the effect of the photoswitchable compound red-AzCA-4 by generating the more potent cis-isomer. Although the trans-isomer of red-AzCA-4 displays some activity at TRPV1, isomerization is still sufficient to activate reward circuits to drive increased c-Fos expression and preference behavior. Compared to recent applications of in vivo photopharmacology in mice which required a separate cannula and waveguide for probe and light delivery,20–22 our multifunctional device can deliver transgenes, ligands, and light to deep brain regions such as the VTA. We anticipate this will increase the reproducibility of behavioral experiments reliant on photopharmacological manipulation of ion channels. Future studies will aim to develop more compact devices that would further reduce the impact on the surrounding tissue. For example, elastomers or hydrogels could offer low modulus alternatives to the polymers currently comprising photopharmacology probes.33,56 Our fiber-based probes rely on tethers to the external light and fluid sources. Although prior work on wireless opto-fluidic platforms enabled tetherless operation,24,57,58 it offered limited flexibility in optical and chemical stimuli following implantation. In contrast, our approach allowed us to easily modify the type, volume, and infusion rate of the delivered fluids as well as the wavelengths of light for photoswitching. Unlike wirelessly powered devices,57–59 our fibers are compatible with standard behavioral arenas, do not rely on custom antennas for power transmission, and thus, can be readily adopted by neuroscience groups that routinely rely on optogenetics and pharmacology. Finally, thermal drawing permits the integration of additional functional features including electrophysiological recording,32 which may in the future allow us to observe photopharmacological switching of neuronal activity in real-time. This will permit the direct correlation of photopharmacological ion channel manipulation to the dynamics of local circuits in the context of behavior.
This proof-of-principle study relied on genetic manipulation to introduce the mammalian receptor TRPV1 in the VTA to achieve photopharmacological control of neurons. Our approach is, however, immediately translatable to photoswitchable ligands targeting endogenous proteins. This will enable optical manipulation of neural circuits, or even nonexcitable cells such as glia, without the need for genetic editing. For example, red-AzCA-4 could target the naturally expressed TRPV1 in the peripheral nervous system, while other photoswitchable ligands could affect cannabinoid receptors in the brain.60 Transgene-free optical manipulation of neural circuits is desirable for model organisms beyond mice, where genetic tools are not as readily available. This would also be of significant importance for the development of potential therapeutic applications, where genetic manipulation still remains a significant barrier.
The advent of optogenetics revolutionized how neuroscientists dissect neural circuitry, yet it remains limited to manipulation of electroactive cells via triggering ion transport through microbial proteins. Photopharmacology empowered by integrated multifunctional fibers will permit direct manipulation of endogenous receptors within living organisms. This will facilitate studies of the roles of specific neurotransmitters and effector pathways in driving the neural circuits that dictate behavior, physiology, and pathology.
METHODS
Materials Availability.
If available, red-AzCA-4 and fibers can be provided from the authors but may require completion of a Materials Transfer Agreement.
Data and Code Availability.
The data sets supporting the current study are freely available from the corresponding author on request. All MATLAB and python codes used for data analysis are available on request.
Experimental Models and Subject Details.
Animals.
Primary neuronal culture experiments were performed in accordance with the IACUC protocol IP00002121 (optical tools for controlling and recording neurotransmission). These used primary hippocampal neurons from male and female neonatal wild-type Sprague–Dawley rats (Charles River, Crl:CD, 8–12 pups, P0–P1).
All stereotactic surgeries for in vivo experiments were performed in accordance with the IACUC protocol 0118-003-21 (Implantation of Neural Recording and Stimulation Devices into Adult Mice and Rats). These were performed using 8-week-old male BL6C/57 mice (Jackson, BL6C/57, #000664). Mice were housed in a normal 12-h light/dark cycle and fed a standard rodent chow diet. After device implantation, mice remained single-housed and were not used for experiments if they experienced symptoms of decreased health.
Chemical Reagents and Synthesis.
All reactions were magnetically stirred under inert gas (N2) atmosphere using standard Schlenk techniques. Glassware was evacuated and dried by heating with a heat-gun (set to 550 °C). Drying over Na2SO4 implies stirring with excess anhydrous salt for 3–5 min followed by filtration through a glass frit and rinsing of the filter cake with additional solvent. Cannulas and syringes which were used for transferring reagents or solvents were flooded with inert gas (3×) before use. Purification by column chromatography was performed under elevated pressure (flash column chromatography) on Geduran© Si60 silica gel (40–63 μm) from Merck KGaA. After flash column chromatography, the concentrated fractions were filtered once through a glass frit. Silica gel F254 TLC plates from Merck KGaA were used for monitoring reactions, analyzing fractions of column chromatography and measuring Rf values. Drying via lyophilization or freeze-drying refers to freezing of the respective sample in liquid nitrogen followed by evacuating the containing flask with high vacuum (<1 mbar) and slow thawing to room temperature. Reaction yields refer to spectroscopically pure isolated amounts of compounds. NMR spectra were acquired on a Bruker Avance III HD 400 with Cryo-head (400 MHz for 1H and 101 MHz for 13C spectroscopy). High-resolution mass spectra were recorded on a Thermo Finnigan LTQ FT (ESI: electrospray ionization).
Unless otherwise specified, chemicals were purchased from Sigma-Aldrich, Fisher Scientific, TCI Europe, Chempur, Alfa Aesar, or Acros Organics. Solvents purchased in technical grade quality were distilled under reduced pressure and used for purification procedures. Triethylamine (NEt3) was dried by distillation from CaH2. Dry EtOAc was purchased from commercial sources (Acros Organics, Fisher Scientific) under inert gas atmosphere and over molecular sieves. All other reagents with a purity of >95% were purchased from commercial sources and used without further purification. red-FAAzo-4 was synthesized according to our literature procedure.35 The large-scale synthesis of red-AzCA-4 is as follows:
Synthesis of red-AzCA-4.
red-FAAzo-4 (700 mg, 1.48 mmol, 1.00 equiv) was placed in a Schlenk flask and freeze-dried (2 cycles). 2-(1H-Benzotriazole-1-yl)-1,1,3,3-tetramethylaminium tetrafluoroborate (TBTU, 476 mg, 1.48 mmol, 1.00 equiv) was added, and the mixture was dissolved in EtOAc (59.3 mL). After a dropwise addition of NEt3 (0.62 mL), the red solution was stirred for 70 min at room temperature. Vanillylamine hydrochloride (562 mg, 2.96 mmol, 2.00 equiv) was added in one portion, and stirring was continued at room temperature for 2 h. The solution was diluted with EtOAc (250 mL) and washed with 3% KHSO4 (50 mL) and saturated aqueous NaCl (100 mL) followed by drying over Na2SO4 and removal of the solvent in vacuo. Two consecutive column chromatography steps (pentane:EtOAc = 1:1) afforded red-AzCA-4 (740 mg, 1.24 mmol, 84%) as a dark red solid. The analytical data is in accordance with those reported in the literature.35
Cell Culture Media and Solutions.
Dissection Solution.
This solution contains (in mM) 160 NaCl, 5 KCl, 0.5 MgSO4, 3 CaCl2, 5 HEPES, and 5.5 glucose with 2.0 mg/L phenol red. The pH was adjusted to 7.4 with NaOH, and the solution was sterile filtered and aliquoted.
Enzymatic Solution.
This solution contains dissection solution (10 mL), l-cysteine (2 mg), EDTA (25 mM, 200 μL aliquot), CaCl2 (100 mM, 100 μL aliquot), NaOH (1 N, 30 μL), DNase (0.05 mg/mL, Sigma, DN25), and papain (100 μL, Sigma, P3125).
Serum Media.
This solution contains minimum essential medium (MEM, 500 mL, with Earle’s salts, without glutamine), Glutamax (5 mL, Gibco), fetal bovine serum (FBS, 25 mL), and MITO+ serum extender (1 mL, Corning, 35506, diluted 3× in H2O) and was sterile filtered and aliquoted.
Inactivation Solution.
This solution contains serum media (10 mL), bovine albumin (25 mg), soybean trypsin inhibitor (25 mg, Gibco, 17075-029), and DNase I (0.05 mg/mL, Sigma, DN25).
Neurobasal A+ Media.
This media contains Neurobasal-A medium (500 mL, Gibco), B-27 supplement (20 mL, Gibco), Glutamax (5 mL, Gibco), and FBS (15 mL) and was sterile filtered and aliquoted.
FUDR inhibitor.
This inhibitor contains uridine (5 mg/mL) and 5-fluorodeoxyuridine (2 mg/mL) in MEM (with Earle’s salts, without glutamine) and was sterile filtered and aliquoted.
Imaging Buffer.
This buffer contains (in mM) 115 NaCl, 1.2 CaCl2, 1.2 MgCl2, 1.2 K2HPO4, 20 HEPES, and 20 d-glucose and was adjusted to pH 7.4 with NaOH, sterile filtered, and aliquoted.
Primary Rat Hippocampal Culture.
The day before the culture, glass-bottom 8-chamber μ-slides (Ibidi, 80827) were coated with poly-l-lysine (PLL, 50 μL per well) and incubated at 37 °C for 25 min. The chambers were washed with phosphate-buffered saline (PBS, 1x, pH 7.4) and dried for 25 min at 37 °C. The chambers were then coated with mouse laminin (50 μL per well, ≈15 ng/mL in PBS, Corning, 354232) and incubated overnight at 37 °C. Neonatal wild-type Sprague–Dawley rats (Charles River, Crl:CD, 8–12 pups, P0-P1) were anesthetized on ice and quickly euthanized by decapitation. The hippocampi were quickly dissected in cold dissection solution and then transferred to sterile filtered enzymatic solution (10 mL) in which they were incubated at 37 °C for 25 min. The hippocampi were then transferred to a sterile filtered inactivation solution (10 mL) at room temperature for 2 min. All but ≈1 mL of the media was removed by aspiration, and the neurons were gently triturated with a 200 μL pipet until a homogeneous cloudy solution was achieved. The dissociated cells were diluted in serum media (1 mL per hippocampus) and then counted (30 μL cells w/10 μL Trypan blue). The cells were plated into the PLL/laminin-coated lab-tecs (200,000 cells/chamber) and cultured at 37 °C in 5% CO2. 36–48 h later, the media was exchanged for Neurobasal A+ media (220 μL/chamber), and 30 μL of FUDR inhibitor solution was added to each well. Neurons were infected with lentivirus (1:2250× dilution of >1010 particles/mL concentrated virus in Neurobasal A+ media) at DIV5. Every 3 days the media was exchanged for fresh Neurobasal A+ media (250 μL/chamber).
Fiber Fabrication.
The neural implant was fabricated by using the thermal drawing process on a macroscopic template (preform). To fabricate the preform, we rolled several cyclic-olefin-copolymer (COC 6015; TOPAS) and polycarbonate sheets (PC; Ajedium films) onto a 12.7 mm PC rod (McMaster) to reach a 16.4 mm diameter assembly and consolidated under vacuum at 175 °C for ≈30 min, forming a single solid COC/PC preform. Two PC slabs (35.45 × 15 × 200 mm; McMaster) were machined to have one semicircular channel (16.5 mm diameter; 200 mm length), and two rectangular grooves (6.35 × 6 × 200 mm) were machined on each side of the semicircular channel. Two aluminum (Al) slabs (McMaster) were milled to form 11.75 × 5.75 × 200 mm3 bars, around which several fluorinated ethylene propylene (FEP) films (McMaster) were rolled to form a 12 × 6 × 200 mm3 spacer, which was placed inside the rectangular groove and sandwiched between the PC slabs prior to consolidation.
The COC/PC preform was then consolidated in a hot press at 175 °C for 1 h at 1000 psi. Finally, additional PC sheets were wrapped around the overall assembly to provide additional support, and the whole assembly was again consolidated under vacuum at 175 °C for 30 min. The resulting preform was then drawn at 300 °C using a custom-built fiber drawing tower as described in previous work.25,32
Fiber Connectorization.
The connectorization process is depicted in Figure S3. Drawn fiber was cut to length (4 cm for implantation devices), and one end was coated with epoxy (Devcon, 14250) to protect the polycarbonate (PC) waveguide. The outer PC housing was etched away from the top 1.5 cm of the fiber by submerging the tip in CH2Cl2 for 2 min. After removal of the epoxy tip, the COC/PC waveguide was glued (Devcon epoxy, 14250) into a ceramic ferrule (ThorLabs, CF270) and left to dry overnight. The microfluidic channels were each opened below the ferrule using a scalpel, and the fiber was inserted through two pieces of ethyl vinyl acetate (EVA) tubing (0.03″ ID, 0.09″ OD, McMaster-Carr, 1883T2), with the core of each tube overlapping the openings for the microfluidic channels. One end of each tube and the region in contact with the fiber was sealed with epoxy (Devcon, 14250), and the ferrule was polished using fiber polishing film (ThorLabs) as described by the manufacturer.
Microinjection and Optical Stimulation.
Fibers were connected to a Nanofil syringe (10 μL, World Precision Instruments) using a home-built connector consisting of a Nanofil beveled needle (33G, World Precision Instruments, NF33BV), EVA tubing (0.03″ ID, 0.09″ OD, McMaster-Carr, 1883T2), and dispensing needle (19G, McMaster-Carr, straight: 75165A554, or 90°: 75165A66). The individual components were assembled and sealed with 5-min epoxy (Devcon, 14250). Injections were controlled using a syringe pump (World Precision Instruments, Micro4, UMC4) and controller (World Precision Instruments, UMP3).
Optical stimulation was generated using fiber-coupled LEDs (Thorlabs, M420F2, M565F3) driven by an LED driver (Thorlabs, LEDD1B, 0.6 A current limit) and a waveform generator (Agilent 33500B). LEDs were coupled to the ferrule on the device using a rotary joint optical fiber (Thorlabs, RJPSF2) and a ceramic mating sleeve (Thorlabs, ADAF1).
Microfluidic Characterization - Phantom Brain Injection and Injection Efficiency.
Agarose gel (Sigma) was dissolved in distilled H2O (0.6 wt %/vol) with gentle microwave heating, poured into a 2 mL glass vial, and allowed to cool overnight. The fiber tip was inserted into the agarose gel, and the injection was driven using a syringe pump (WPI Micro4, UMC4) and controller (WPI, UMP3), via a Hamilton syringe and EVA tubing (McMaster, #1883T1). Trypan blue (3 μL) was injected at a speed of 100 nL/min. Images were captured using a Nikon D610 digital single-lens reflex camera and a 100 mm macro lens (Tokina). RAW images were processed in Adobe Photoshop, where corrections were applied only to increase sharpness and color contrast.
To further characterize the microfluidic capabilities of the neural implant, the microfluidic inlet of the device was connected to the injection apparatus described above (Nanofil, syringe pump, and controller). We injected water (9 μL) into a phantom brain at target injection rates of 1, 20, 50, 80, 100, 200, and 400 nL/s through the microfluidic channel, and the injection output was measured by weight. The output injection rate was calculated by dividing the injection output by the time required to inject it. Injection efficiency was calculated by comparing input and output injection rates.
Optical Loss Calculation.
To calculate the optical loss, fibers (11 cm in length) were etched and connected to a ferrule (ThorLabs, CF270) as described above. The fiber was connected to fiber-coupled LEDs (Thorlabs, M365FP1, M420F2, M470F3, M565F3, M595F2, M625F2) using a rotary joint optical fiber (Thorlabs, RJPSF2) and a metal interconnect (Thorlabs, ADAF2). The absolute output power was measured using a digital power meter (Thorlabs, PM100D) with a photodiode power sensor (Thorlabs, S121C). Two cm sections of fiber were then removed, and the power at each length was measured down to 1 cm. The recorded power values at each length were normalized to the power at the shortest length. This procedure was repeated for multiple fibers, and the normalized powers were averaged and plotted (Figure 2D). The decibel loss was calculated across each cut section as
in dB/cm, where L = fiber length in cm, Pin = input power in mW, and Pout = output power in mW. The values across the 11 cm segments of each fiber were averaged, and the error was calculated as ± SEM.
Lentivirus Packaging.
Plasmids for lentivirus packaging were amplified by transformation into stellar competent cells (ClonTech) and extracted with an endotoxin-free maxi-prep DNA extraction kit (Qiagen). Lenti-X HEK 293T cells (ClonTech) were used for producing lentiviral particles and were maintained in a 10 cm Petri dish (Corning) in DMEM with 10% FBS (Thermofisher) without an antibiotic for >3 passages before transfection. Cells were transfected with the third generation lentivirus and helper plasmids when the cells reached 80–90% confluence. Before transfection, HEK cells were incubated in 6 mL of fresh and prewarmed DMEM with 10% FBS for 1 h. Plasmids and linear polyethylenimine (PEI; MW = 25000, Polysciences) were premixed and incubated at room temperature for 25 min in the following amounts per plate: 2 mL of opti-MEM (GIBCO), 3 μg of pRTR2, 3 μg of pVSVG, 9 μg of p4.1R, 15 μg of pLenti-CaMKII-TRPV1-p2A-mCherry-WPRE or pLenti-CaMKII-mCherry-WPRE, and 90 mg of PEI and incubated at room temperature for 25 min. The transfection mixture was added to each plate (2 mL) and incubated at 37 °C for 6–18 h. The culture medium was then exchanged with 10 mL of fresh and prewarmed DMEM with 10% FBS. 48–72 h later, the culture medium was collected in 50 mL centrifuge tubes. The cell debris were removed by centrifugation at 3000 rpm for 5 min at 4 °C. The lentiviral medium was filtered with a 0.45 μm filter and stored at 4 °C before concentration. The approximate titer of lentivirus was evaluated using a lentiviral titration kit (Lenti-X GoStix Plus; ClonTech). The lentiviral medium was transferred to 50 mL centrifuge tubes, and 7 mL of 10% sucrose in PBS (Corning) was slowly added into the bottom of each tube. Lentivirus was pelleted by centrifugation at 11,000×g for 4 h at 4 °C.61 After removal of the supernatant and drying of the centrifuge tubes, the lentivirus pellets were resuspended in PBS at 0.1%, the original volume of the lentiviral medium. The titer of lentivirus was approximated by a lentiviral titration kit (Lenti-X GoStix Plus; ClonTech) with serial dilutions. The concentrated lentivirus was aliquoted and stored at −80 °C in a freezer until use.
Stereotactic Surgery and Device Implantation.
Eight-week-old male BL6C/57 mice (Jackson, BL6C/57, #000664) were anesthetized with 1–2% isoflurane and placed on a heat pad in a stereotaxic head frame (Kopf) and immediately injected subcutaneously with buprenorphine-slow release (ZooPharm, 1.0 mg/kg). After creation of a midline incision along the scalp, a craniotomy was performed using a rotary tool (Dremel Micro 8050) and a carbon steel burr (Heisinger, 19007-05). Implants were flushed with sterile PBS, fastened to the stereotaxic cannula holder, and connected to a Hamilton syringe (10 μL, World Precision Instruments). Concentrated lentivirus (>109 transducing units/mL for Lenti-CaMKIIα::TRPV1-p2A-mCherry or Lenti-CaMKIIα::mCherry) was loaded into a microfluidic channel, and the device was lowered into the skull (coordinates from bregma, in mm: ML: ±0.5, DV: −4.35, AP: −3.3). The virus solution (2 μL total) was slowly injected (flow rate: 75 nL/min), while the device was cemented to the skull using first C&B-Metabond adhesive cement (Parkell) and then dental cement (jet Set-4) to encase the device. After completion of the injection, the device remained attached to the Hamilton syringe for at least 10 min before being detached. The incision was then closed with sutures, and the mouse was given a subcutaneous injection of carprofen (5 mg/kg) and sterile Ringer’s solution (0.6 mL) prior to recovery on a heat pad. For 3 days postimplantaion, mice were single-housed and closely monitored for signs of overall health. They were given Carprofen injections (0.6 mL, 0.25 mg/mL in sterile Ringer’s solution) as necessary. After recovery, mice remained single-housed and were not used for experiments if they experienced symptoms of decreased health.
Injection for c-Fos Quantification.
Six to eight weeks following device implantation (above), mice were anesthetized with 2% isoflurane, and the microfluidic channels were flushed with compound sterile PBS 3x with a Hamilton syringe and 26G needle. The device was connected via mini-EVA tubing (McMaster, 1883T1) to a Hamilton syringe that had been pre-filled with the compound solution. The compound solution (3 μM total volume) was injected (600 nL/min), and for red-AzCA-4 injections, 420 or 565 nm irradiation was applied (2 Hz, 50% duty cycle) for 40 min (as described above). The animal was kept under anesthesia for a total of 90 min after the beginning of the injection to allow for c-Fos expression and then deeply anesthetized by Fatal-plus injection (0.075 mL of 97.5 mg/mL solution in NaCl) followed by a standard transcardial perfusion using PBS (50 mL) followed by PFA (Electron Microscopy Sciences, 50 mL, 4% in PBS).
Immunofluorescence Staining.
For immunofluorescence in cultured neurons, the coverslips were fixed with 4% PFA (Electron Microscopy Sciences, 190107) in PBS buffer for 20 min at room temperature and then washed out for 5 min with PBS. Coverslips were permeabilized with 0.2% Triton X-100 (Fisher Scientific, BP151-100) for 1 min and then washed with PBS for (3 × 5 min washes). The coverslips were then transferred to a new 24-well plate (Corning) and incubated in a blocking buffer (0.02% Triton X100 + 5% normal donkey serum [NDS] in PBS) for 1 h at room temperature on an orbital shaker (100 rpm). The coverslips were then incubated in a primary antibody solution (1:300 dilution anti-NeuN antibody [Abcam ab177487], 0.02% Triton X100, 5% NDS in PBS). The plate was sealed with parafilm (Pechiney plastic) and incubated overnight (12–14 h) in the dark at room temperature on the orbital shaker. The coverslips were washed with PBS (3 × 5 min washes) on the shaker at room temperature and then transferred to the secondary antibody solution (1:1000 donkey anti-rabbit 488 secondary [Life Technologies A21206], 0.02% Triton X100, 5% NDS) and incubated for 1 h in the dark at room temperature on the shaker. The coverslips were again washed with PBS (3 × 5 min washes) and then incubated in the dark with a 2-[4-(aminoiminomethyl)phenyl]-1H-indole-6-carboximidamide hydrochloride (DAPI) solution (1:50000 dilution, from 5 mg/mL DMSO stock in PBS) for 10 min on the shaker. The coverslips were washed with Sudan Black (Sigma-Aldrich, MKCG8561) for 3 × 5 min washes (0.2 mg/mL in 70% EtOH) and washed with deionized water (2 × 5 min washes). Coverslips were then mounted on a microscope slide (VWR Superfrost Plus Micro Slide, 75 × 25 × 1 mm, 48311-703). The coverslips were covered with a mounting solution (Fluoromount), covered with a coverglass (VWR, 24 × 60 mm, 16004-096), and then stored in the dark at room temperature overnight before imaging.
For fixed brain slice immunofluorescence, mice were euthanized by standard transcardial perfusion using 4% PFA (PFA, Electron Microscopy Sciences) in PBS. After extraction, the brains were soaked in 4% PFA in the dark overnight at 4 °C. The brains were washed with PBS (3 × 15 mL for 15 min) and sectioned appropriately, and coronal or sagittal slices (60 μm thickness) were prepared with a vibratome (Leica VT1000S) with a FEATHER razor blade (Electron Microscopy Sciences, 72002) in ice-cold PBS buffer. The slices were stored in the dark in PBS buffer at 4 °C until staining. The slices were transferred to a Netwell insert (Corning, 3478) and then incubated in permeabilization/blocking buffer (0.3% Triton X100 + 3% normal donkey serum [NDS] in PBS) in a standard 12-well plate (Cellstar, 665180) for 1 h at room temperature in the dark on an orbital shaker (100 rpm). The slices were then transferred to the primary antibody solution (2 mL total volume, 1:1000 dilution primary antibody, 3% NDS in PBS). The plate was sealed with parafilm (Pechiney plastic) and incubated overnight (12–14 h) in the dark at room temperature on the shaker. The slices were washed with PBS (3 × 2 mL, 20 min each) on the shaker in the dark at room temperature, then transferred to the secondary antibody solution (2 mL total volume in PBS), and incubated for 2 h in the dark at room temperature on the shaker. The slices were again washed with PBS (3 × 2 mL, 20 min each) and then incubated in the dark with a DAPI solution (1:50000 dilution, from 5 mg/mL DMSO stock in PBS, 2 mL total volume) for 45 min on the shaker. The slices were again washed with PBS (2 × 2 mL, 20 min each) and then mounted on a cover slide (VWR Superfrost Plus Micro Slide, 75 × 25 × 1 mm, 48311-703). The slices were covered with a mounting solution (Fluoromount), covered with a coverglass (VWR, 24 × 60 mm, 16004-096), and then stored in the dark at room temperature overnight.
Confocal Microscopy.
Live-cell fluorescent Ca2+ imaging in cultured hippocampal neurons (DIV 10–14) was performed on a dual scanner Olympus Fluoview 1200 with a 20× objective (Olympus) at 37 °C in 5% CO2. Cells were first loaded with Fluo-4-AM (2 μM, ThermoFisher, F14201) in Neurobasal A+ media for 30 min and then washed twice with an imaging buffer (250 μL). Fluo-4 was excited at 488 nm at low laser power (<3%), and the emission was collected from 500–550 nm. Photoswitching was generated by 375 nm laser irradiation at 100% laser power and triggered using the quench function in the Olympus software. The fluorescence intensity data was extracted in ImageJ (NIH) and processed/plotted in MATLAB.
Fluorescence images in fixed and mounted sagittal brain slices were acquired on an Olympus Fluoview FV1000 laser-scanning confocal microscope with a 20× objective (oil, NA = 0.85) and 60× (oil, NA = 1.42) objective. For images of each brain region, serial z-stack images with a step size of 4 μm were acquired. The center of the frame was positioned at the following: VTA - ML: ±0.48 mm, DV: −4.4 mm, AP: −3.3 mm; mPFC - ML: ±0.36 mm, DV: −2.5 mm, AP: +1.5 mm; NAc - ML: ±0.72 mm, DV: −3.9 mm, AP: −1.25 mm.62 Coordinates were determined for each region using the Alan Brain Atlas. DAPI was excited using a 405 nm laser with emission light collected between 425 and 460 nm. Alexa Fluor 488 imaging was excited using a 473 nm laser with emission light collected between 485 and 515 nm. mCherry was visualized using a 559 nm laser with collected emission light between 575 and 675 nm.
Following imaging, the data was analyzed with a custom MATLAB script (available on request) and ImageJ (NIH), which directly processed output.oib files without user intervention to generate the z-stacks and quantify the percentage of c-Fos positive cells. Statistical significance was assessed in MATLAB using a two-sample t test. All imaging and analysis were blinded with respect to the experimental conditions.
Conditioned Place Preference.
Conditioned place preference (CPP) experiments were performed in a home-built three chamber box with dimensions 21 × 25, 21 × 20, and 21 × 25 cm for the left, center, and right chambers, respectively. The base was fabricated out of white polyethylene sheets (McMaster, 8752K315) to facilitate cleaning between trials. The left chamber had a white plastic floor with punched holes (2.38 mm diameter, 25% open area) (McMaster #9293T67) and walls with a magenta polka-dot pattern. The center chamber had a flat Teflon floor (McMaster) with no wall pattern. The right chamber had a floor made of plastic bars (1/8 in. diameter, 7.62 mm spacing) (McMaster, 8658K47) and diagonal green bars on the walls. The walls and doors to separate the chambers were fabricated out of transparent polycarbonate (McMaster). A webcam (Logitech), microinjector pump (World Precision Instruments, Micro4, UMC4), and the rotary joint of the optical waveguide (Thorlabs, RJPSF2) were mounted directly above the center chamber. Experiments were performed in a room with normal fluorescent lighting, and the light intensity was kept constant across the box and consistent throughout all experimental days. Video recording of all trial days (days 1–4) were recorded using the webcam software (Logitech). The absolute position of the mouse in the box was determined using a custom python script (available on request), and the percent time spent in each chamber of the box was calculated using MATLAB (script available on request). The first 30 min of the video were used for quantification, and the time in either the holes vs bars chamber were scored as a percentage. Preconditioning was performed for 3 days prior to the behavioral experiments to habituate them to being restrained and attached to optical/fluid delivery cables. Additionally, the microfluidic channels were gently washed with 3 × 10 μL sterile PBS to remove any excess salt or blood which may be clogging the channels. This flushing step was repeated at the beginning of each experimental day to ensure any residual compound solution or salts remaining in the tubes were removed. No pressure was applied, so these washes did not result in fluid injection into the brain. The experimental paradigm for the 4-day conditioned place preference (CPP) test is as follows:
Day 1, Pretest:
The microfluidic channel was flushed with 3 × 10 μL washes of PBS buffer, and the device was connected to an optical fiber and the injection tubing. The mouse was then placed in the center chamber with closed doors. The doors were then removed, and the mouse was left to explore the entire box for 45 min.
Day 2, Condition 1:
Microfluidic channels were flushed with 3 × 10 μL washes of the compound solution (0.1% DMSO or 1 μM red-AzCA-4), and the device was connected to the optical fiber and injection tubing. The mouse was placed in either the holes or bars chamber, which was sealed by the transparent door. To minimize potential bias toward a particular chamber, the mice were evenly distributed between holes or bars on the second and third day of conditioning. The trial was initiated at the start of the injection (3 μL at 600 nL/min), and the mouse was kept in the conditioning chamber for 45 min. For trials with red-AzCA-4, 420 nm light was applied (7.6 mW/mm2 on average) at 2 Hz at 50% duty cycle. After the trial, the channels were again washed with 3 × 10 μL sterile PBS before the mice were returned to the animal facility overnight.
Day 3, Condition 2:
The procedure for day 3 was the same as day 2, except mice were placed in the opposite chamber as Day 2. On this day, the mice which previously received the vehicle control received a 10 μM CAP injection. The mice which previously received the red-AzCA-4 with blue light received the same dose of red-AzCA-4, except with 565 nm irradiation (2 Hz at 50% duty cycle, 8.1 mW/mm2 on average).
Day 4, Post-Test:
Identical to the procedure described above for day 1.
Quantification and Statistical Analysis.
Unless otherwise described, all data is presented as mean ± SEM. For Ca2+ imaging experiments, n is the number of measurements made (individual cells), and the number of individual experiments (biological replicates) is described in the figure caption. Statistical significance was assessed using MATLAB (Mathworks) and Excel (Microsoft). For the comparison between two groups in immunohistochemistry analyses, Student’s two-sample t test (two-sided) was used, with significance threshold placed at *P < 0.05. For the comparison between two groups in behavior assays, a Wilcoxon signed-rank test was used, with significance thresholds placed at * = 0.02 < P < 0.05; ns = not significant = P > 0.2.
Supplementary Material
ACKNOWLEDGMENTS
The authors thank Prof. Dirk Trauner for his input on this study.
Funding
This work was funded in part by the National Institute of Neurological Disorders and Stroke (5R01NS086804), the National Institutes of Health (NIH) BRAIN Initiative (1R01MH111872), the National Science Foundation (NSF) Center for Neurotechnology (EEC-1028725), and the McGovern Institute for Brain Research. This work made use of the MIT MRSEC Shared Experimental Facilities under award number DMR-14-19807 from the NSF. Additional support was provided by the US Army Research Laboratory and the US Army Research Office through the Institute for Soldier Nanotechnologies under contract number W911NF-13-D-000. J.A.F. acknowledges the Vollum Institute Fellowship for financial support. M.J.A. is a recipient of the Friends of McGovern Graduate Fellowship.
ABBREVIATIONS
- CAP
capsaicin
- COC
cyclic olefin copolymer
- CPP
conditioned place preference
- EVA
ethyl vinyl acetate
- GPCR
G protein-coupled receptor
- LED
light-emitting diode
- mCh
mCherry
- mPFC
medial prefrontal cortex
- NAc
nucleus accumbens
- PC
polycarbonate
- TDP
thermal drawing process
- TRPV1
transient receptor potential vanilloid family member 1-capsaicin receptor
- VTA
ventral tegmental area
Footnotes
Supporting Information
The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acschemneuro.0c00577.
Figure S1, red-AzCA vehicle control experiments in cultured neurons; Figure S2, drawing parameters and thermal drawing process; Figure S3, fiber connectorization process; Figure S4, implantation locations; Figure S5, chemogenetic control of VTA projections; and Table S1, corresponding primary and secondary antibodies for immunohistochemistry (PDF)
Complete contact information is available at: https://pubs.acs.org/10.1021/acschemneuro.0c00577
The authors declare no competing financial interest.
Contributor Information
James A. Frank, Research Laboratory of Electronics and McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States; Vollum Institute, Oregon Health & Science University, Portland, Oregon 97239, United States.
Marc-Joseph Antonini, Research Laboratory of Electronics and McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States; Harvard/MIT Health Science & Technology Graduate Program, Cambridge, Massachusetts 02139, United States.
Po-Han Chiang, Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States; Institute of Biomedical Engineering, National Chiao Tung University, Hsinchu 300, Taiwan (R.O.C.).
Andres Canales, Research Laboratory of Electronics and Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.
David B. Konrad, Department of Pharmacy, Ludwig Maximilian University, D-81377 Munich, Germany
Indie C. Garwood, Research Laboratory of Electronics and McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States; Harvard/MIT Health Science & Technology Graduate Program, Cambridge, Massachusetts 02139, United States
Gabriela Rajic, Vollum Institute, Oregon Health & Science University, Portland, Oregon 97239, United States.
Florian Koehler, Research Laboratory of Electronics and Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.
Yoel Fink, Research Laboratory of Electronics and Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.
Polina Anikeeva, Research Laboratory of Electronics, McGovern Institute for Brain Research, and Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The data sets supporting the current study are freely available from the corresponding author on request. All MATLAB and python codes used for data analysis are available on request.