IMPLANTABLE DUAL MODE ULTRASONIC DEVICE
20210346726 · 2021-11-11
Inventors
Cpc classification
A61B8/4494
HUMAN NECESSITIES
A61N2007/0052
HUMAN NECESSITIES
A61B8/4483
HUMAN NECESSITIES
A61B8/42
HUMAN NECESSITIES
International classification
A61N1/05
HUMAN NECESSITIES
Abstract
A method and system of neural stimulation and imaging of nervous system of a subject. The method includes the steps of providing an interface device operable to generate an ultrasonic beam for neuroniodulation and imaging of a targeted neural structure of a subject, implanting the interface device in the subject, and providing and disposing an external coil array over the targeted neural structure of the subject, wherein the external coil array is wirelessly powering and communicating with the interface device.
Claims
1. A method of neural stimulation and imaging of a nervous system of a subject, comprising: providing an interface device operable to generate an ultrasonic beam for neuromodulation and imaging of a targeted neural structure of a subject; implanting the interface device in the subject; providing and disposing an external coil array over the targeted neural structure of the subject; generating the ultrasonic beam by the interface device and transmitting the ultrasonic beam towards the targeted neural structure for neuromodulating and imaging; receiving a reflected ultrasonic beam by the interface device from the targeted neural structure for imaging of the targeted neural structure; wirelessly powering the interface device with the external coil array; and wirelessly communicating between the interface device and the external coil array for performing neuromodulation and imaging of the targeted neural structure.
2. The method of claim 1, further comprising: providing the interface device comprising at least one ultrasonic transducer operable to focus an ultrasonic beam on the targeted neural structure of brain of the subject for neuromodulation and imaging of the targeted neural structure, and/or comprising at least one sub-millimeter sized ultrasonic transducer operable to generate an ultrasonic point-source near a targeted neural structure of brain of the subject for microscopic ultrasound neuromodulation and imaging of the targeted neural structure; implanting the at least one ultrasonic transducer in a subdural region located over a brain surface and/or the at least one sub-millimeter sized ultrasonic transducer inside a neural tissue of the brain of the subject; and providing and disposing an external coil array over a skull of the subject, wherein the external coil array is wirelessly powering and communicating with the interface device using an inductive link.
3. The method of claim 1, further comprising: providing the interface device comprising at least one ultrasonic transducer operable to focus an ultrasonic beam on a targeted neural structure of peripheral nervous system (PNS) of the subject for neuromodulation and imaging of the targeted neural structure, and/or comprising at least one sub-millimeter sized ultrasonic transducer operable to generate an ultrasonic point-source near a targeted neural structure of peripheral nervous system (PNS) of the subject for microscopic ultrasound neuromodulation and imaging of the targeted neural structure; implanting the at least one ultrasonic transducer over a nerve bundle of the PNS without any penetration into a parenchyma of the PNS, and/or the at least one sub-millimeter sized ultrasonic transducer in a nerve bundle of the PNS of the subject; and providing and disposing an external coil or ultrasonic transducer array over skin of the subject that is covering the implanted interface device, wherein the external coil or ultrasonic transducer array is wirelessly powering and communicating with the interface device using an inductive or ultrasonic link.
4. An implantable neural stimulation and imaging system for a central nervous system (CNS) of a subject, comprising: an interface device configured to be implanted in a subdural region located over a brain surface, the interface device comprising at least one ultrasonic transducer operable to focus an ultrasonic beam on a targeted neural structure of the brain for neuromodulation and imaging of the targeted neural structure; and an external coil array disposed over a skull of the subject, the external coil array configured to wirelessly power and communicate with the interface device using an inductive link.
5. An implantable neural stimulation and imaging system for a peripheral nervous system (PNS) of a subject, comprising: an interface device configured to be implanted over a nerve bundle of the PNS without any penetration into a parenchyma of the PNS, the interface device comprising at least one ultrasonic transducer operable to focus an ultrasonic beam on a targeted neural structure of the PNS for neuromodulation and imaging of the targeted neural structure; and an external coil or ultrasonic transducer array disposed over skin of the subject that is covering the implanted interface device, the external coil or ultrasonic transducer array configured to wirelessly power and communicate with the interface device using an inductive or ultrasonic link.
6. An implantable neural stimulation and imaging system for central nervous system (CNS) of a subject, comprising: an interface device configured to be implanted inside a neural tissue of a brain of the subject, the interface device comprising at least one sub-millimeter sized ultrasonic transducer operable to generate an ultrasonic point-source near a targeted neural structure of the brain for microscopic ultrasound neuromodulation and imaging of the targeted neural structure; and an external coil array disposed over a skull of the subject, the external coil array configured to wirelessly power and communicate with the interface device using an inductive link.
7. An implantable neural stimulation and imaging system for peripheral nervous system (PNS) of a subject, comprising: an interface device configured to be implanted in a nerve bundle of the PNS of the subject, the interface device comprising at least one sub-millimeter sized ultrasonic transducer operable to generate an ultrasonic point-source near a targeted neural structure of the PNS for microscopic ultrasound neuromodulation and imaging of the targeted neural structure; and an external coil or ultrasonic transducer array disposed over skin of the subject close to the interface device, the external coil or ultrasonic transducer array configured to wirelessly power and communicate with the interface device using an inductive or ultrasonic link.
8. The implantable neural stimulation and imaging system according to claim 4, wherein the interface device is driven at a high frequency with a continuous, pulsed or sinusoidal carrier waveform, the carrier waveform being amplitude-modulated with a lower frequency or being reconstructed with a train of sharp pulses with varying amplitudes.
9. The implantable neural stimulation and imaging system according to claim 8, wherein the high frequency is selected from a range of 1-40 MHz and the lower frequency is in a kHz.
10. The implantable neural stimulation and imaging system according to claim 8, wherein the pulsed carrier waveform has a variable number of cycles, pulse repetition frequency and/or duration.
11. The implantable neural stimulation and imaging system according to claim 4, wherein the at least one ultrasonic transducer has a maximum thickness of 0.5 mm.
12. The implantable neural stimulation and imaging system according to claim 4, wherein the interface device comprises at least two ultrasonic transducers that are disposed in either stacked or side-by-side manner.
13. The implantable neural stimulation and imaging system according to claim 5, wherein the ultrasonic link is based on a ultrasonic harmonic modulation (UHM) technique.
14. The implantable neural stimulation and imaging system according to claim 4, wherein the at least one ultrasonic transducer comprises zirconate titanate (PZT).
15. The implantable neural stimulation and imaging system according to claim 4, wherein the at least one transducer is operable to focus the ultrasonic beam having a frequency in a range of 1 MHz to 40 MHz.
16. The implantable neural stimulation and imaging system according to claim 4, wherein the at least one transducer has a focal length in a range of 1 mm to 50 mm.
17. The implantable neural stimulation and imaging system according to claim 6, wherein the at least one sub-millimeter sized ultrasonic transducer is operable to generate the ultrasonic point-source having a frequency in a range of 0.5 MHz to 10 MHz.
18. The implantable neural stimulation and imaging system according to claim 6, wherein the at least one sub-millimeter sized ultrasonic transducer has a focal length in a range of 0.1 mm to 1 mm.
19. The implantable neural stimulation and imaging system according to claim 4, wherein the interface device comprises an array of the at least one ultrasonic transducers to focus on the targeted neural structure.
20. The implantable neural stimulation and imaging system according to claim 6, wherein the interface device comprises an array of the at least one sub-millimeter sized ultrasonic transducers to focus on the targeted neural structure.
21. The implantable neural stimulation and imaging system according to claim 4, further comprising: another interface device configured to be implanted inside the neural tissue of the brain of the subject, the interface device comprising at least one sub-millimeter sized ultrasonic transducer operable to generate an ultrasonic point-source near a targeted neural structure of the brain for microscopic ultrasound neuromodulation and imaging of the targeted neural structure; and the external coil array configured to wirelessly power and communicate with the another interface device using the inductive link.
22. The implantable neural stimulation and imaging system according to claim 5, further comprising: another interface device configured to be implanted in the nerve bundle of the PNS of the subject, the interface device comprising at least one sub-millimeter sized ultrasonic transducer operable to generate an ultrasonic point-source near a targeted neural structure of the PNS for microscopic ultrasound neuromodulation and imaging of the targeted neural structure; and the external coil or ultrasonic transducer array configured to wirelessly power and communicate with the another interface device using an inductive or ultrasonic link.
23. (canceled)
Description
BRIEF DESCRIPTION OF THE DRAWINGS
[0029]
[0030]
[0031]
[0032]
[0033]
[0034]
[0035]
[0036]
[0037]
[0038]
[0039]
[0040]
[0041]
[0042]
[0043]
[0044]
[0045]
[0046]
[0047]
[0048]
[0049]
[0050]
[0051]
[0052]
[0053]
[0054]
[0055]
[0056]
[0057]
[0058]
[0059]
[0060]
DETAILED DESCRIPTION OF THE INVENTION
[0061] The proposed implantable technology, which can be realized in two ways as shown in
[0062] As noted above, certain embodiments of the present invention provide an implantable technology for both the central nervous system (CNS) and peripheral nervous system (PNS), as shown in
[0063] Proposed implantable dual-modal technology for both neuromodulation and imaging in both the CNS and PNS as shown in
[0064] An external coil array for wireless power/data 110/210 is disposed covering the implants 120/220 over the skin 130 of the skull 140 of the subject 10. Similarly, an external coil array for wireless power/date 115/215 is disposed covering the implants 125/225 over the skin 135 above the nerve bundle/nerve fiber 145/155 of the subject 10.
[0065]
[0066] In order to achieve both neuromodulation and imaging within the 3D structure of neural tissue, ultrasonic beamforming with a 2D transducer array is used in this technology (
[0067] For μUS stimulation and imaging (
[0068] In this disclosure, disc-shaped piezoelectric transducers for μUS are studied, but a similar theory can be generalized to other types of transducers. For a disc-shaped transducer, there are two strongly excited vibration modes, named thickness extensional (TE) and radial or planar expander (PE) modes, as well as several weakly coupled modes near TE and PE modes. For large aspect ratios (Dolt), where Do and t are the outer diameter and thickness of the transducer (piezoelectric material), respectively, the TE mode is dominant, and the transducer only shows a piston-type displacement.
[0069] K.sub.T and Z.sub.c are the electromechanical coupling factor and acoustic impedance, respectively. C.sub.0=ε.sub.s×A/t represents the transducer clamped capacitance where ε.sup.s and A are the clamped dielectric constant and the transducer cross-section area. In (1), ω.sub.0=πν.sub.a/t is called the half-wavelength resonant frequency in the TE mode where ν.sub.a is the stiffened acoustic velocity. The KLM model also includes a capacitor in series with the transformer, C′ (negligible effect, C.sub.0<<C′), related to the transducer dimension and K.sub.T. Within the transformer secondary side, representing the mechanical part, two generated acoustic waves pass through two transmission lines with t/2 length, Z.sub.c characteristic impedance and ν.sub.a sound velocity to reach the front (propagating waves in tissue) and back acoustic ports, interfacing with transducer front and backing materials with Z.sub.F and Z.sub.B acoustic impedances, respectively. When Z.sub.F and Z.sub.B are smaller than Z.sub.c, the transmission line has a resonance close to ω.sub.0. The input electrical impedance at ω.sub.0 can be found from,
[0070] For the fabrication of transducers discussed below, PZT-5A was chosen as the piezoelectric material due to its high electromechanical coupling, which is key in maximizing acoustic pressure and I.sup.2PR. In order to quantitatively study the impact of a wide variety of transducer design parameters, such as the dimension (D.sub.o, t), f.sub.p, backing material (PCB-backed, air-backed), beam focusing and acoustic matching, nine sets of transducers (US.sub.1-US.sub.9) were fabricated (specifications summarized in Table I below) at frequencies of 2.2-9.56 MHz.
[0071]
[0072]
[0073]
[0074]
[0075] To locate the measured pressure with the hydrophone position, a trigger signal from the function generator was used. The trigger signal was generated 2 μs before each burst of the input sinusoid. After each 64 consecutive rising edge of the trigger signal (64 ms), the PC sent a command to the 3-axis translation stage to move the hydrophone position with the minimum step size of 50 μm. The stored pressure data was averaged during 64 ms for filtering the high frequency noise.
[0076]
[0077]
[0078] Since it takes several cycles for the transducer to reach steady-state vibrations due to its limited bandwidth, N.sub.c should be chosen large enough for the hydrophone voltage to settle down. As the hydrophone was closer to the transducer (axial distance of 6.9 mm) in
[0079] Based on (3), reducing D.sub.o decreases the focal length and improves the lateral resolution. We investigated the acoustic intensity profile of sub-mm-sized transducers (for implantation in brain tissue) using COMSOL. For instance, for a transducer with D.sub.o=0.5 mm and t=0.2 mm the focal point was located at the axial distance of <50 μm. The characteristics of such transducers cannot be accurately measured with our current setup due to the coupling noise. Due to difficulty in fabrication, handling, and characterization of sub-mm-sized transducers, as a first step, in this study we investigated the performance of mm-sized transducers to establish FoM for μUS. These results could help design of micron-scale ultrasound transducer arrays for μUS (
[0080] Figure-of-Merit (FoM) for the Proposed μUS
[0081] For successful ultrasound stimulation, the required acoustic intensity at the neural target should be higher than a threshold, which depends on the sonication frequency and pattern. In μUS, in which the stimulation system could be portable, it is crucial to meet such a threshold requirement with minimal electrical power for driving the ultrasound transducer(s). Therefore, we define the maximum acoustic intensity (W/cm.sup.2) to the input electrical power (W) ratio, termed as I.sup.2PR (cm′), as the FoM for the μUS. This FoM, which directly relates to the stimulation energy efficiency, is used to compare the performance of different transducers.
[0082] It is worth noting that the insertion loss (IL) and transducer electrical-to-mechanical power efficiency (η.sub.T) are also the parameters which are often used in the literature as a measure of a transducer sensitivity particularly in imaging. The IL is defined as the voltage inverse ratio of the magnitude of an ultrasound sinusoidal burst, which is emitted by the transducer, to the magnitude of the received reflected echo from a highly reflective plane in parallel with the transducer. The IL is often reported in dB (20 log.sub.10). Although IL can be considered as a measure of η.sub.T, it does not explicitly relate to the acoustic intensity as it lacks information about the transducer focusing characteristic. Therefore, both IL and η.sub.T, while very important, are not the optimal FoM for the μUS compared to I.sup.2PR. This said, all these three parameters (IL, Θ.sub.T, I.sup.2PR) were measured for each transducer as shown in Table I.
TABLE-US-00001 TABLE I Transducer Parameter US.sub.1 US.sub.2 US.sub.3 US.sub.4 US.sub.5 US.sub.6 D.sub.o = 6.8 mm D.sub.o = 5 mm D.sub.o = 4.2 mm D.sub.o = 4.2 mm D.sub.o = 2.8 mm US.sub.7 US.sub.8 US.sub.9 t = 0.75 mm t = 0.75 mm t = 0.73 mm t = 0.4 mm t = 0.3 mm D.sub.o = 5.8 mm, t = 1 mm Encapsulation Layer Sylgard Sylgard Sylgard Sylgard Sylgard Sylgard EPO-TEK EPO-TEK EPO-TEK + Alumina Backing Layer Air PCB PCB PCB PCB PCB PCB PCB PCB Focused No No No No No No No Yes Yes f.sub.p (MHz) 2.8 2.8 2.8 3.056 5.66 9.56 2.19 2.47 2.47 N (mm) 14.25 16.75 11.25 4.35 14 9.25 4.6 8.5 7 Axial Resolution 14.75 19.25 12.5 7.75 23.75 6.25 12 6.5 6.5 (mm) Lateral Resolution 1.9 2.2 1.75 1.1 1.1 0.5 1.8 1.05 1 (mm) Max. I.sup.2PR (1/cm.sup.2) 6.6 2.4 3.4 8.85 3.71 16 2.9 9.3 12.9 Electrical Impedance 303 + 7j 136 − 50.5j 287 − 158j 395 − 317j 148 − 67.2j 326 − 5j 233 − 245j 250 − 363j 194 − 318j (Ω) @ f.sub.p IL (dB) @ f.sub.p −21.3 −24.7 −29.8 −30.5 −31.9 −33.7 −31.7 −32.2 −29.9 η.sub.T (%) @ f.sub.p 36.7 16.3 15 22.6 11 12 17 14.5 21.7
[0083] Microscopic Ultrasound Stimulation Concept
[0084] In the proposed μUS as shown in
[0085]
[0086] For the following discussion, we have chosen lead zirconate titanate (PZT) as the piezoelectric material for ultrasound transducer due to its high electromechanical coupling coefficient, which is key in maximizing pressure intensity. There are two main resonance modes in a disc-shaped piezoelectric transducer, called thickness extensional (TE) and radial or planar expander (PE) modes, as well as several weakly-coupled vibration modes near TE and PE modes [56]. The vibration mode of a PZT transducer is highly dependent on its aspect ratio, defined as D.sub.o/t. For a large aspect ratio, TE is dominant and the transducer has only a piston-type displacement with high electrical to mechanical efficiency. However, as the aspect ratio is reduced, thickness vibration becomes weaker and non-uniform due to radial mode vibration and its harmonics, resulting in lower electrical to mechanical efficiency.
[0087] The thickness and radial mode resonance frequencies, f.sub.tr and f.sub.rr, respectively, of a PZT transducer with large aspect ratio can be found from,
f.sub.tr=N.sub.T/t,f.sub.rr=N.sub.P/D.sub.o, (3)
[0088] where N.sub.T and N.sub.P are thickness and radial mode frequency constants, respectively. It can be seen that both f.sub.tr and f.sub.rr are strongly dependent on D.sub.o and t. The focal length (N) also highly depends on the transducer geometry, and can be found for a large aspect ratio from,
N=(f.sub.p×D.sub.o.sup.2)/(4×ν), (4)
[0089] where f.sub.p and ν are the sonication frequency and the sound velocity in the medium, respectively.
[0090] Since both (3) and (4) are accurate for a large aspect ratio [56], and the proposed μUS operates with miniaturized transducers, finite-element method (FEM) simulation tools such as COMSOL Multiphysics (COMSOL, Burlington, Mass.) is used to accurately model transducers. Nonetheless, both (3) and (4) can be used for finding initial values for D.sub.o, t, and f.sub.p.
[0091] Effects of Transducer Geometry and Sonication Frequency on Acoustic Beam Profile
[0092] In this Section, COMSOL simulation results are provided to study the effects of D.sub.o, t, and f.sub.p on the acoustic beam profile, generated by miniaturized transducers made of PZT-5A. The minimum required acoustic intensity, which depends on f.sub.p and is within W/cm.sup.2 range, is the key parameter for successful ultrasound stimulation [35]. In this paper for fair comparison between different cases, normalized acoustic intensity, which is defined as the ratio of the acoustic intensity to the transducer's input electrical power, is calculated and reported.
[0093] For the μUS model in COMSOL, each miniaturized transducer (US) was located inside the castor oil with an attenuation coefficient of 0.8 dB/cm/MHz to mimic the soft tissue.
[0094] The results in
[0095]
[0096] To consider the spatial resolution, the intensity full width of the half maximum (FWHM) is often calculated [35]. Therefore, according to
[0097] It can be observed in
[0098]
[0099]
[0100] Furthermore, a novel modulation technique, called ultrasonic harmonic modulation (UHM), for wideband pulse-based ultrasonic communication may be used with the above-discussed embodiments. According to UHM, two narrow pulses with particular amplitudes and time delays are sent in the transmitter such that their associated ringing in the receiver creates a short ringing by surpassing the ringing of the first pulse with that of the second pulse.
[0101] Simulation Vs. Measurement
[0102] To validate the accuracy of our measurements, the simulated and measured characteristics of the transducers were compared (only US.sub.1 simulated results are reported). Table I shows the specifications and measured electrical and acoustic characteristics of US.sub.1-US.sub.9 transducers.
[0103] For each transducer, we report the following measured parameters. 1) electrical impedance measured using a network analyzer (E5071C, Keysight Tech., Santa Rosa, Calif.), 2) acoustic intensity profile in axial and lateral directions normalized to the maximum intensity in that specific measurement, 3) axial and lateral resolution, defined as half-power (−3 dB) beam width (normalized intensity reduced to 0.5) in axial and lateral directions, respectively. For axial resolution, the beam width in the far-field region starting at N is reported, because near-field measured intensities are not reliable. For the lateral resolution, the beam width at N is reported. 4) I.sup.2PR as discussed earlier. 5) IL, which was measured using the similar method in. It should be noted that the measured IL results represent two-way insertion loss and include the losses introduced by the medium (water), the reflector (air), the divergence of the ultrasound beam, which is the main reason for relatively low IL values in Table I, and measurement setup nonidealities. To exclude such losses, 6) the ratio of the acoustic power to electrical power (p) was also measured. The acoustic power in η.sub.T was calculated by integrating the measured acoustic intensity over a plane in parallel with the transducer surface at the focal length (N).
[0104]
[0105] In the following subsections, measurement results are used to study the impact of f.sub.p, transducer dimension (D.sub.o, t), backing layer, focusing, and acoustic matching on the characteristics of the generated acoustic beam profile.
[0106] Sonication Frequency (f.sub.p) Impact
[0107] Ideally, f.sub.p should be selected based on the transducer mechanical resonance frequency, which is ω.sub.0/2π=ν.sub.a/2t for a disc-shaped transducer in the TE mode. But in practice the backing and matching materials can affect coo. In addition, C.sub.0 and C′ capacitors in
[0108] To show the impact of operation at series vs. parallel resonance, the normalized acoustic intensity of US.sub.1 was measured at three different frequencies of 2.6 MHz (series resonance,
[0109] It is worth noting that the optimal f.sub.p may not be exactly the same as the transducer center frequency (f.sub.c) which is usually found from pulse-echo measurements. In this disclosure, the optimal f.sub.p is found when I.sup.2PR is maximized, while operating at f.sub.c may not necessarily result in the maximum I.sup.2PR. Because, for maximizing I.sup.2PR the acoustic intensity at the focal zone and the input electrical power should be maximized and minimized, respectively, while at f.sub.c only the pulse-echo frequency spectrum reaches its maximum. For example, the f.sub.c of US.sub.1 is 2.7 MHz, but I.sup.2PR is maximum at 2.8 MHz. This is mainly due to the higher transducer impedance at 2.8. MHz, which resulted in lower input power.
[0110] Backing Layer Impact
[0111] Acoustic characteristics of the transducer backing layer not only impacts the generated acoustic intensity but can also affect the transducer electrical impedance. Based on (2), R.sub.0 (transducer impedance at resonance) is inversely proportional to Z.sub.B, and therefore, small Z.sub.B (high R.sub.0) leads to higher Q, enhancing the Θ.sub.T. In other words, at small Z.sub.B most of the mechanical wave, which reaches the back acoustic port in
[0112] To study the backing material impact, we measured and compared the acoustic beam profile of air-backed US.sub.1 and PCB-backed US.sub.2 with similar dimension. The Z.sub.B values for air and PCB are ˜4×10.sup.−4 MRayl and 6.6 MRayl, respectively. As shown in
[0113] Transducer Dimension (D.sub.o, t) Impact
[0114] The transducer dimension, including D.sub.o and t, can significantly affect the transducer performance since ω.sub.0=πν.sub.a/t and N in (5) (see below) highly depend on t and D.sub.o, respectively. To study the impact of t, the measured characteristics of two PCB-backed transducers with similar D.sub.o=4.2 mm and different t of 0.73 mm (US.sub.4) and 0.4 mm (US.sub.5) are compared in
[0115] In order to study the impact of D.sub.o, we measured and compared acoustic beam profile of two PCB-backed transducers with similar t=0.75 but different D.sub.o of 5 mm (US.sub.3) and 6.8 mm (US.sub.2) at f.sub.p=2.8 MHz. The measured electrical impedance of US.sub.2 and US.sub.3 was already shown in
[0116]
[0117] To study the effect of aggressive size scaling (both D.sub.o and t), the acoustic intensity profile of a PCB-backed transducer (US.sub.6) with small D.sub.o=2.8 mm and t=0.3 mm was measured at its parallel resonance frequency of 9.56 MHz, as shown in
[0118] Beam Focusing Impact
[0119] Beam focusing is known to improve the spatial resolution of the generated acoustic beam by a transducer. This could consequently enhance the acoustic intensity at the focal zone, improving the energy efficiency. As described in this disclosure, for the focused transducers we fabricated spherically shaped acoustic lenses (at the front side) with two different materials, EPO-TEK301 (US.sub.8) and EPO-TEK301+Alumina (US.sub.9), on top of the PZT disc as shown in
[0120]
[0121]
[0122] Acoustic Matching Impact
[0123] Any mismatch between the acoustic impedance of the piezoelectric material, encapsulation layer (Sylgard-184 in US.sub.1-6) and the tissue medium can affect the generated acoustic intensity by the transducer due to the acoustic reflections. Ideally, similar acoustic impedance for all these three media is needed. But there is a large difference between the acoustic impedance of the PZT (Z.sub.c=33 MRayl) and water (Z.sub.m=1.48 MRayl), mimicking the tissue medium in our measurements. To reduce the acoustic reflections due to the mismatch, the encapsulation layer can be employed as the matching layer as well. For optimal acoustic matching, the thickness and acoustic impedance of this layer should be λ/4 and (Z.sub.c×Z.sub.m).sup.0.5, respectively.
[0124] To study the acoustic matching impact, US.sub.9 transducer included both EPO-TEK and Alumina as both the focusing lens and matching material (
[0125] Measurement Results with Bio-Phantom
[0126] In order to study the acoustic beam profile in a more realistic setup, several measurements were conducted with a sheep brain phantom (Carolina Biological Supply, Burlington, N.C.). In this section, we only provide the measurement results for US.sub.1 and US.sub.6, operating at low and high f.sub.ps of 2.8 MHz and 9.56 MHz, respectively.
[0127]
[0128]
[0129] Building upon our experience, a miniaturized 3D-printed plastic housing may fabricated to hold the air-backed PZT material and then add an acoustic lens to achieve focusing and acoustic matching similar to the transducer in
[0130] The electronics could mainly include a multi-functional chip, which may be designed in a high-voltage CMOS process, that could integrate a power management circuitry to provide enough voltage and power levels required in μUS, a high-voltage driver to drive ultrasound transducers, and a configurable stimulation pattern generator to generate the optimal sonication pattern as shown in
[0131] For both tFUS and μUS, safety against high ultrasound pressure levels should be considered. The Food and Drug Administration (FDA) has determined limitations on both average and peak of exposed ultrasound intensity to the tissue. The spatial-peak temporal-average intensity (I.sub.spta) should be less than 720 mW/cm.sup.2 and the mechanical index (MI), which is indicator of ultrasound peak intensity, should be less than 1.9. The requited acoustic pressure for tFUS is often below FDA threshold levels. Since μUS eliminates the effect of lossy skull, its required ultrasound pressure is less than that of tFUS at similar frequencies.
[0132] A comprehensive study on the acoustic and electrical characteristics of mm-sized piezoelectric transducers for μUS applications is discussed above. The operation and transmission line model of disc-shaped piezoelectric transducers were discussed to establish a basis for studying their acoustic beam profile. Using the PZT-5A piezoelectric material, nine sets of transducers with different dimensions, frequencies, backing materials, focusing features and matching materials were fabricated. Through comprehensive experimental studies of electrical impedance and hydrophone measurements of these ultrasound transducers, the impact of aforementioned design parameters on spatial (axial and lateral) resolution and acoustic beam intensity (related to energy efficiency) was studied. It was shown that transducer miniaturization, beam focusing, acoustic matching and overall quality factor are critical in improving spatial specificity and energy efficiency of μUS. These transducers could be used in vivo applications. These transducers and their applications are discussed below in more detail.
[0133]
[0134] where ν is the sound velocity in the medium. In near-field region (particularly near the transducer surface), there are several local maxima and minima which are highly dependent on the medium (i.e., difficult to model their exact locations).
[0135] The far-field region begins at the focal point at which the beam starts to diverge, thereby increasing the beam width along the axial direction. As shown in
[0136] The dual-modal (modulation and imaging) ASIC, as shown in
[0137] For wideband data transmission in PNS implants, pulse- or carrier-based modulation technique can be used. As shown in
[0138]
[0139] Step 2490 includes the interface device being wirelessly powered by the external coil array. The interface device is communicating with the external coil array for performing neuromodulation and imaging of the targeted neural structure. For example, the external array provides signals/commands for performing neuromodulation and imaging as well as receives imaging related data from the interface device for further processing. In some embodiments, the imaging related data is transmitted to a central processing unit/control unit for further processing. The central processing unit/control unit may generate the signals/commands for transmission to the external coil array. It should be noted that a person skilled in the art would be able to use this disclosure for neuromodulation and imaging of the targeted neural structure and determine the miscellaneous requirements needed that are not detailed herein. The steps discussed above need not be followed in the order as shown.
[0140] In another method, step 2410 further includes the steps of providing the interface device comprising at least one ultrasonic transducer operable to focus an ultrasonic beam on the targeted neural structure of brain of the subject for neuromodulation and imaging of the targeted neural structure, and/or comprising at least one sub-millimeter sized ultrasonic transducer operable to generate an ultrasonic point-source near a targeted neural structure of brain of the subject for microscopic ultrasound neuromodulation and imaging of the targeted neural structure; step 2430 includes implanting the at least one ultrasonic transducer in a subdural region located over a brain surface and/or the at least one sub-millimeter sized ultrasonic transducer inside a neural tissue of the brain of the subject; and step 2450 includes providing and disposing an external coil array over a skull of the subject, wherein the external coil array is wirelessly powering and communicating with the interface device using an inductive link.
[0141] In another alternate method, the steps of providing the interface device 2410 further includes comprising at least one ultrasonic transducer operable to focus an ultrasonic beam on a targeted neural structure of peripheral nervous system (PNS) of the subject for neuromodulation and imaging of the targeted neural structure, and/or comprising at least one sub-millimeter sized ultrasonic transducer operable to generate an ultrasonic point-source near a targeted neural structure of peripheral nervous system (PNS) of the subject for microscopic ultrasound neuromodulation and imaging of the targeted neural structure; step 2430 includes implanting the at least one ultrasonic transducer over a nerve bundle of the PNS without any penetration into a parenchyma of the PNS, and/or the at least one sub-millimeter sized ultrasonic transducer in a nerve bundle of the PNS of the subject; and step 2450 includes providing and disposing an external coil or ultrasonic transducer array over skin of the subject that is covering the implanted interface device, wherein the external coil or ultrasonic transducer array is wirelessly powering and communicating with the interface device using an inductive or ultrasonic link.
[0142] As will be clear to those of skill in the art, the herein described embodiments of the present invention may be altered in various ways without departing from the scope or teaching of the present invention. As such, this disclosure should be interpreted broadly.
REFERENCES
[0143] [1] M. Nicolelis, “Actions from thoughts,” Nature, 2001. [0144] [2] T. Wagner, A. Valero-Cabre, and A. Pascual-Leone, “Noninvasive human brain stimulation,” Annul Rev. Biomed. Eng., vol. 9, pp. 527-565, 2007. [0145] [3] V. Gradinaru, M. Mogri, T. Thompson, J. Henderson, and K. Deisseroth, “Optical deconstruction of parkinsonian neural circuitry,” Science, vol. 324, pp. 354-359, 2009. [0146] [4] J. Yianni, P. Bain, N. Giladi, M. Auca, R. Gregory, C. Joint, D. Nandi, J. Stein, R. Scott, and T. Aziz, “Globus pallidus internus deep brain stimulation for dystonic conditions: a prospective audit,”Mov. Disord., vol. 18, pp. 436-442, 2003. [0147] [5] M. Hodaie, R. Wennberg, J. Dostrovsky, and A. Lozano, “Chronic anterior thalamus stimulation for intractable epilepsy,” Epilepsia, vol. 43, pp. 603-608, 2002. [0148] [6] P. Holtzheimer and H. S. Mayberg, “Deep brain stimulation for psychiatric disorders,” Annu. Rev. Neurosci, vol. 34, pp. 289-307, 2011. [0149] [7] L. Gabriels, P. Cosyns, B. Meyerson, S. Andreewitch, S. Sunaert, A. Maes, P. Dupont, J. Gybels, F. Gielen, and H. Demeulemeester, “Long-term electrical capsular stimulation in patients with obsessive-compulsive disorder,” Neurosurgery, vol. 52, pp. 1263-1274, 2003. [0150] [8] A. Barbero and M. Grosse-Wentrup, “Biased feedback in brain-computer interfaces,” J. Neuroeng. Rehabit, vol. 7, no. 34, pp. 1-4, 2010. [0151] [9] J. Carmena, “Becoming bionic,” Spectrum, vol. 49, no. 3, pp. 24-29, 2012. [0152] [10] K. Deisseroth, “Optogenetics,” Nature, vol. 8, January 2011. [0153] [11] S. Ogawa, T. Lee, A. Kay, and D. Tank, “Brain magnetic resonance imaging with contrast dependent on blood oxygenation,”Proc. Natl. Acad. Sci. USA, vol. 87, pp. 9868-9872, December 1990. [0154] [12] G. Buzsaki, “Large-scale recording of neuronal ensembles,” Nat. Neurosci., vol. 7, no. 5, pp. 446-451, May 2004. [0155] [13] K. Famm, B. Litt, K. Tracey, E. Boyden, and M. Slaoui, “Drug discovery: A jump-start for electroceuticals,” Nature, vol. 496, pp. 159-161, April 2013. [0156] [14] K. Birmingham, V. Gradinaru, P. Anikeeva, W. Grill, V. Pikov, B. McLaughlin, P. Pasricha, D. Weber, K. Ludwig, and K. Famm, “Bioelectronic medicines: A research roadmap,” Nature Rev., vol. 13, pp. 399-400, June 2014. [0157] [15] B. Bonaz, C. Picq, V. Sinniger, J. Mayol, and D. Clarencon, “Vagus nerve stimulation: from epilepsy to the cholinergic andti-inflammatory pathway,”Neurogast. Mot., vol. 25, pp. 208-221, March 2013. [0158] [16] J. Lee, D. Kim, S. Yoo, H. Lee, G. Lee, and Y. Nam, “Emerging neural stimulation technologies for bladder dysfunctions,” Int. Neurol. J., vol. 19, pp. 3-11, March 2015. [0159] [17] G. O'Grady, J. Egbuji, P. Du, L. Cheng, A. Pullan, and J. Windsor, “High-frequency gastric electrical stimulation for the treatment of gastroparesis: a meta-analysis,” World J. Surgery, vol. 33, no. 8, pp. 1693-1701, August 2009. [0160] [18] H. Zhu, H. Sallam, and J. Chen, “Synchronized gastric electrical stimulation enhances gastric motility in dogs,” Neurogastroenterol. Motil, vol. 293, no. 5, pp. 1875-1881, November 2007. [0161] [19] S. Nag and N. Thakor, “Implantable neurotechnologies: electrical stimulation and applications,”Med. Biol. Eng. Comput., vol. 54, no. 1, pp. 63-76, 2016. [0162] [20] A. Barker, “The history and basic principles of magnetic nerve stimulation,” Electroencephalogr. Clin. Neurophysiol. Suppl., vol. 51, pp. 3-21, 1999. [0163] [21] T. Wagner, A. Valero-Cabre, and A. Pascual-Leone, “Noninvasive human brain stimulation,” Annu. Rev. Biomed. Eng., vol. 9, pp. 527-565, 2007. [0164] [22] A. Javadi, A. Beyko, V. Walsh, and R. Kanai, “Transcranial direct current stimulation of the motor cortex biases action choice in a perceptual decision task,” J. Cognitive Neurosci., vol. 27, pp. 2174-2185, October 2015. [0165] [23] Deep Brain Stimulation Systems, Available Online: http://www.medtronic.com/ [0166] [24] E. Boyden, “A history of optogenetics: the development oftools for controlling brain circuits with light,” Biology Report, May 2011. [0167] [25] T. Kim, J. McCall, Y. Jung, X. Huang, E. Siuda, Y. Li, J. Song, Y. Song, H. Pao, R. Kim, C. Lu, S. Lee, S. Song, G. Shin, R. Al-Hasani, S. Kim, M. Tan, Y. Huang, F. Omenetto, J. Rogers, and M. Bruchas, “Injectable, cellular-scale optoelectronics with applications for wireless optogenetics,” Science, vol. 340, pp. 211-216, April 2013. [0168] [26] Utah Slanted Electrode Array, Blackrock Microsystems Inc.; Retrieved July 2016, Available Online: https://commonfund.nih.gov/sites/default/files/BlackrockInfo.pdf [0169] [27] S. Ha, A. Akinin, J. Park, C. Kim, H. Wang, C. Maier, P. Mercier, and G. Cauwenberghs, “Silicon integrated high-density electrocortical interfaces,”Proc. IEEE, vol. 105, pp. 11-33, January 2017. [0170] [28] M. Yin, D. Borton, J. Aceros, W. Patterson, and A. Nurmikko, “A100-channel hermetically sealed implantable device for chronic wireless neurosensing applications,” IEEE Trans. Biomed. Cir. Syst., vol. 7, pp. 115-128, April 2013. [0171] [29] G. McConnell, H. Rees, A. Levey, C. Gutekunst, R. Gross, and R. Bellamkonda, “Implanted neural electrodes cause chronic, local inflammation that is correlated with local neurodegeneration,” J. Neural Eng., vol. 6, p. 056003, October 2009. [0172] [30] W. Tyler, Y. Tufail, M. Finsterwald, M. Tauchmann, E. Olson, and C. Majestic, “Remote excitation of neuronal circuits using low-intensity, low-frequency ultrasound,” Plos One, vol. 3, October 2008. [0173] [31] Y. Tufail, A. Matyushov, N. Baldwin, M. Tauchmann, J. Georges, A. Yoshihiro, S. Tery, and W. Tyler, “Transcranial pulsed ultrasound stimulates intact brain circuits,” Neuron, vol. 66, pp. 681-694, June 2010. [0174] [32] Y. Tufail, A. Yoshihiro, S. Pati, M. Li, and W. Tyler, “Ultrasonic neuromodulation by brain stimulation with transcranial ultrasound,” Nature Protocols, vol. 6, no. 9, pp. 1453-1470, 2011. [0175] [33] W. Legon, A. Rowlands, A. Opitz, T. Sato, and W. Tyler, “Pulsed ultrasound differentially stimulates somatosensory circuits in humans as indicated by EEG and fMRI,” PLOS One, vol. 7, December 2012. [0176] [34] J. Mueller, W. Legon, A. Opitz, T. Sato, and W. Tyler, “Transcranial focused ultrasound modulates intrinsic and evoked EEG dynamics,” Brain Stim., vol. 7, pp. 900-908, September 2014. [0177] [35] W. Legon, T. Sato, A. Opitz, J. Mueller, A. Barbour, A. Williams, and W. Tyler, “Transcranial focused ultrasound modulates the activity of primary somatosensory cortex in humans,” Nature Neurosci., vol. 17, pp. 322-333, February 2014. [0178] [36] B. Min, A. Bystritsky, K. Jung, K. Fischer, Y. Zhang, L. Maeng, S. Park, Y. Chung, F. Jolesz, and S. Yoo, “Focused ultrasound-mediated suppression of chemically-induced acute epileptic EEG activity,” BMC Neurosci., pp. 12-23, 2011. [0179] [37] S. Yoo, A. Bystritsky, J. Lee, Y. Zhang, K. Fischer, B. Min, N. McDannold, A. Pascual-Leone, and F. Jolesz, “Focused ultrasound modulates region-specific brain activity,” Neuroimage, vol. 56, pp. 1267-1275, February 2011. [0180] [38] H. Kim, S. Taghados, K. Fischer, L. Maeng, S. Park, and S. Yoo, “Noninvasive transcranial stimulation of rat abducens nrve by focused ultrasound,” Ultrasound Med. Biol., vol. 38, pp. 1568-1575, 2012. [0181] [39] W. Lee, Y. Chung, Y. Jung, I. Song, and S. Yoo, “Simultaneous acoustic stimulation of human primary and secondary somatosensory cortices using transcranial focused ultrasound,” BMC Neurosci., vol. 17, 2016. [0182] [40] W. Lee, H. Kim, Y. Jung, I. Song, Y. Chung, and S. Yoo, “Image-guided transcranial focused ultrasound stimulates human primary somatosensory cortex,” Scien. Reports, vol. 5, pp. 1-10, March 2015. [0183] [41] W. Lee, H. Kim, Y. Jung, Y. Chung, I. Song, J. Lee, and S. Yoo, “Transcranial focused ultrasound stimulation of human primary visual cortex,” Scien. Reports, vol. 6, pp. 1-12, September 2016. [0184] [42] W. Lee, S. Lee, M. Park, L. Foley, E. Purcell, H. Kim, K. Fischer, L. Maeng, and S. Yoo, “Image-guided focused ultrasound-mediated regional brain stimulation in sheep,” Ultrasound Med. Biol., vol. 42, pp. 459-470, 2016. [0185] [43] T. Deffieux, Y. Younan, N. Wattiez, M. Tanter, P. Pouget, and J. Aubry, “Low-intensity focused ultrasound modulates monkey visuomotor behavior,” Current Biology, vol. 23, pp. 2430-2433, December 2013. [0186] [44] J. Kubanek, J. Shi, J. Marsh, D. Chen, C. Deng, and J. Cui, “Ultrasound modulates ion channel currents,” Nature Scien. Rep., vol. 6, pp. 1-14, April 2016. [0187] [45] E. Juan, R. Gonzalez, G. Albors, M. Ward, and P. Irazoqui, “Vagus nerve modulation using focused pulsed ultrasound: potential applications and preliminary observations in a rat,” Int. J. Imaging Syst. Technol., vol. 1, pp. 67-71, March 2014. [0188] [46] H. Baek, K. Pahk, and H. Kim, “A review of low-intensity focused ultrasound for neuromodulation,” Biomed. Eng. Lett., January 2017. [0189] [47] A. Bystritsky and A. Korb, “A review of low-intensity transcranial focused ultrasound for clinical applications,” Curr. Behay. Neurosci. Rep., vol. 2, pp. 60-66, 2015. [0190] [48] L. Ai, J. Mueller, A. Grant, Y. Eryaman, and W. Legon, “Transcranial focused ultrasound for BOLD fMRI signal modulation in humans, IEEE 2016. [0191] [49] T. Dickey, R. Tych, M. kliot, J. Loseser, K. Pederson, and P. Mourad, “Intense focused ultrasound can reliably induce sensations in human test subjects in a manner correlated with the density of their mechanoreceptors,” Ultrasound in Med. Biol., vol. 38, vo. 1, pp. 85-90, 2012. [0192] [50] E. Mehic, J. Xu, C. Caler, N. Coulson, C. Moritz, and P. Mourad, “Increased anatomical specificity of neuromodulation via modulated focused ultrasound,” PLOS One, vol. 9, February 2014. [0193] [51] R. King, J. Brown, and K. Pauly, “Localization of ultrasound-induced in vivo neurostimulation in the mouse model,” Ultrasound Med. Biol., vol. 40, no. 7, pp. 1512-1522, 2014. [0194] [52] M. Menz, O. Oralkan, P. Yakub, and S. Baccus, “Precise neural stimulation in the retina using focused ultrasound,” J. Neurosci., vol. 33, pp. 4550-4560, March 2013. [0195] [53] E. Mace, G. Montaldo, B. Osmanski, I. Cohen, M. Fink, and M. Tanter, “Functional ultrasound imaging of the brain: theory and basic principles,” IEEE Trans. Ultras. Ferr. Freq. Cont., vol. 60, pp. 492-506, March 2013. [0196] [54] B. Van Veen and K. Buckley, “Beamforming: a versatile approach to spatial filtering,” IEEE ASSP Mag., April 1988. [0197] [55] K. Thomenius, “Evolution of ultrasound beamformers,” IEEE Ultras. Sym., 1996. [0198] [56] M. Meng, and M. Kiani, “Design and optimization of ultrasonic wireless power transmission links for millimeter-sized biomedical implants,” IEEE Trans. Biomed. Cir. Syst., vol. 11, no. 1, pp. 98-107, February