1
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Chen JC, Dhuliyawalla A, Garcia R, Robledo A, Woods JE, Alrashdan F, O'Leary S, Husain A, Price A, Crosby S, Felicella MM, Wakhloo AK, Karas P, Provenza N, Goodman W, Sheth SA, Sheth SA, Robinson JT, Kan P. Endocisternal interfaces for minimally invasive neural stimulation and recording of the brain and spinal cord. Nat Biomed Eng 2024:10.1038/s41551-024-01281-9. [PMID: 39528629 DOI: 10.1038/s41551-024-01281-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 10/14/2024] [Indexed: 11/16/2024]
Abstract
Minimally invasive neural interfaces can be used to diagnose, manage and treat many disorders, with reduced risks of surgical complications. However, endovascular probes lack access to key cortical, subcortical and spinal targets, and are not typically explantable after endothelialization. Here we report the development and testing, in sheep, of endocisternal neural interfaces that approach brain and spinal cord targets through inner and outer spaces filled with cerebrospinal fluid. Thus, the interfaces gain access to the entire brain convexity, to deep brain structures within the ventricles and to the spinal cord from the spinal subarachnoid space. We combined an endocisternal neural interface with wireless miniature magnetoelectrically powered bioelectronics so that it can be freely navigated percutaneously from the spinal space to the cranial subarachnoid space, and from the cranial subarachnoid space to the ventricles. In sheep, we show recording and stimulation functions, as well as repositioning of the flexible electrodes and explantation of the interface after chronic implantation. Minimally invasive endocisternal bioelectronics may enable chronic and transient therapies, particularly for stroke rehabilitation and epilepsy monitoring.
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Affiliation(s)
- Joshua C Chen
- Department of Bioengineering, Rice University, Houston, TX, USA
| | - Abdeali Dhuliyawalla
- Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA
| | - Robert Garcia
- Department of Neurosurgery, University of Texas Medical Branch, Galveston, TX, USA
| | - Ariadna Robledo
- Department of Neurosurgery, University of Texas Medical Branch, Galveston, TX, USA
| | - Joshua E Woods
- Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA
| | - Fatima Alrashdan
- Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA
| | - Sean O'Leary
- Department of Neurosurgery, University of Texas Medical Branch, Galveston, TX, USA
| | - Adam Husain
- Department of Neurosurgery, University of Texas Medical Branch, Galveston, TX, USA
| | - Anthony Price
- Department of Neurosurgery, University of Texas Medical Branch, Galveston, TX, USA
| | - Scott Crosby
- Neuromonitoring Associates LLC, Las Vegas, NV, USA
| | | | - Ajay K Wakhloo
- Department of Radiology, TUFTS University School of Medicine, Boston, MA, USA
- Deinde Medical, Miramar, FL, USA
| | - Patrick Karas
- Department of Neurosurgery, University of Texas Medical Branch, Galveston, TX, USA
| | - Nicole Provenza
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Wayne Goodman
- Department of Psychiatry, Baylor College of Medicine, Houston, TX, USA
| | - Sameer A Sheth
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Sunil A Sheth
- Department of Neurology, McGovern Medical School at UTHealth, Houston, TX, USA
| | - Jacob T Robinson
- Department of Bioengineering, Rice University, Houston, TX, USA.
- Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA.
| | - Peter Kan
- Department of Neurosurgery, University of Texas Medical Branch, Galveston, TX, USA.
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2
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Alrashdan F, Yang K, Robinson JT. Magnetoelectrics for Implantable Bioelectronics: Progress to Date. Acc Chem Res 2024; 57:2953-2962. [PMID: 39366673 PMCID: PMC11483720 DOI: 10.1021/acs.accounts.4c00307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Revised: 08/19/2024] [Accepted: 08/19/2024] [Indexed: 10/06/2024]
Abstract
ConspectusThe coupling of magnetic and electric properties manifested in magnetoelectric (ME) materials has unlocked numerous possibilities for advancing technologies like energy harvesting, memory devices, and medical technologies. Due to this unique coupling, the magnetic properties of these materials can be tuned by an electric field; conversely, their electric polarization can be manipulated through a magnetic field.Over the past seven years, our lab work has focused on leveraging these materials to engineer implantable bioelectronics for various neuromodulation applications. One of the main challenges for bioelectronics is to design miniaturized solutions that can be delivered with minimally invasive procedures and yet can receive sufficient power to directly stimulate tissue or power electronics to perform functions like communication and sensing.Magnetoelectric coupling in ME materials is strongest when the driving field matches a mechanical resonant mode. However, miniaturized ME transducers typically have resonance frequencies >100 kHz, which is too high for direct neuromodulation as neurons only respond to low frequencies (typically <1 kHz). We discuss two approaches that have been proposed to overcome this frequency mismatch: operating off-resonance and rectification. The off-resonance approach is most common for magnetoelectric nanoparticles (MENPs) that typically have resonance frequencies in the gigahertz range. In vivo experiments on rat models have shown that MENPs could induce changes in neural activity upon excitation with <200 Hz magnetic fields. However, the neural response has latencies of several seconds due to the weak coupling in the off-resonance regime.To stimulate neural responses with millisecond precision, we developed methods to rectify the ME response so that we could drive the materials at their resonant frequency but still produce the slowly varying voltages needed for direct neural stimulation. The first version of the stimulator combined a ME transducer and analog electronics for rectification. To create even smaller solutions, we introduced the first magnetoelectric metamaterial (MNM) that exhibits self-rectification. Both designs have effectively induced neural modulation in rat models with less than 5 ms latency.Based on our experience with in vivo testing of the rectified ME stimulators, we found it challenging to deliver the precisely controlled therapy required for clinical applications, given the ME transducer's sensitivity to the external transmitter alignment. To overcome this challenge, we developed the ME-BIT (MagnetoElectric BioImplanT), a digitally programmable stimulator that receives wireless power and data through the ME link.We further expanded the utility of this technology to neuromodulation applications that require high stimulation thresholds by introducing the DOT (Digitally programmable Overbrain Therapeutic). The DOT has voltage compliance up to 14.5 V. We have demonstrated the efficacy of these designs through various in vivo studies for applications like peripheral nerve stimulation and epidural cortical stimulation.To further improve these systems to be adaptive and enable a network of coordinated devices, we developed a bidirectional communication system to transmit data to and from the implant. To enable even greater miniaturization, we developed a way to use the same ME transducer for wireless power and data communication by developing the first ME backscatter communication protocol.
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Affiliation(s)
- Fatima Alrashdan
- Department
of Electrical and Computer Engineering, Rice University, 6100 Main St, Houston, Texas 77005, United States
| | - Kaiyuan Yang
- Department
of Electrical and Computer Engineering, Rice University, 6100 Main St, Houston, Texas 77005, United States
| | - Jacob T. Robinson
- Department
of Electrical and Computer Engineering, Rice University, 6100 Main St, Houston, Texas 77005, United States
- Department
of Bioengineering, Rice University, 6100 Main St, Houston, Texas 77005, United States
- Applied
Physics Program, Rice University, 6100 Main St, Houston, Texas 77005, United States
- Department
of Neuroscience, Baylor College of Medicine, 1 Baylor Plaza, Houston, Texas 77030, United States
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3
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Woods JE, Alrashdan F, Chen EC, Tan W, John M, Jaworski L, Bernard D, Post A, Moctezuma-Ramirez A, Elgalad A, Steele AG, Barber SM, Horner PJ, Faraji AH, Sayenko DG, Razavi M, Robinson JT. Scalable networks of wireless bioelectronics using magnetoelectrics. RESEARCH SQUARE 2024:rs.3.rs-5005441. [PMID: 39399673 PMCID: PMC11469518 DOI: 10.21203/rs.3.rs-5005441/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/15/2024]
Abstract
Networks of miniature bioelectronic implants would enable precise measurement and manipulation of the complex and distributed physiological systems in the body. For example, sensing and stimulation nodes throughout the heart, brain, or peripheral nervous system would more accurately track and treat disease or support prosthetic technologies with many degrees of freedom. A main challenge to creating this type of in-body bioelectronic network is the fact that wireless power and data transfer are often inefficient when communicating through biological tissues. This challenge is typically compounded as one increases the number of implants within the network. Here, we show that magnetoelectric wireless data and power transfer enable a network of millimeter-sized bioelectronic implants where the power transfer efficiency of the system improves as the number of implanted devices increases. Using this property, we demonstrate networks of wireless battery-free bioelectronics ranging from 1 to 6 implants where the wireless power transfer efficiency for the system increases from 0.2% to 1.3%, with each node in the network receiving 2.2 mW at a distance of 1 cm. We use this system for efficient and robust wireless data and power transfer to demonstrate proof-of-concept networks of miniature spinal cord stimulators and cardiac pacing devices in large animals. The scalability of this network architecture enabled by magnetoelectric wireless power transfer provides a platform for building wireless closed-loop networks of bioelectronic implants for next-generation electronic medicine.
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Affiliation(s)
- Joshua E Woods
- Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA
| | - Fatima Alrashdan
- Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA
| | - Ellie C Chen
- Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA
| | - Wendy Tan
- Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA
| | | | | | | | | | | | | | - Alexander G Steele
- Department of Neurosurgery, Houston Methodist, Houston, TX, USA
- Houston Methodist Research Institute, Houston, TX, USA
| | - Sean M Barber
- Department of Neurosurgery, Houston Methodist, Houston, TX, USA
- Houston Methodist Research Institute, Houston, TX, USA
| | - Philip J Horner
- Houston Methodist Research Institute, Houston, TX, USA
- Department of Neuroregeneration, Houston Methodist, Houston, TX, USA
| | - Amir H Faraji
- Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA
- Department of Neurosurgery, Houston Methodist, Houston, TX, USA
- Houston Methodist Research Institute, Houston, TX, USA
| | | | - Mehdi Razavi
- Texas Heart Institute, Houston, TX, USA
- Department of Medicine, Cardiology, Baylor College of Medicine, Houston, TX, USA
| | - Jacob T Robinson
- Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA
- Department of Bioengineering, Rice University, Houston, TX, USA
- Applied Physics Program, Rice University, Houston, TX, USA
- Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA
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Woods JE, Singer AL, Alrashdan F, Tan W, Tan C, Sheth SA, Sheth SA, Robinson JT. Miniature battery-free epidural cortical stimulators. SCIENCE ADVANCES 2024; 10:eadn0858. [PMID: 38608028 PMCID: PMC11014439 DOI: 10.1126/sciadv.adn0858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 03/11/2024] [Indexed: 04/14/2024]
Abstract
Miniaturized neuromodulation systems could improve the safety and reduce the invasiveness of bioelectronic neuromodulation. However, as implantable bioelectronic devices are made smaller, it becomes difficult to store enough power for long-term operation in batteries. Here, we present a battery-free epidural cortical stimulator that is only 9 millimeters in width yet can safely receive enough wireless power using magnetoelectric antennas to deliver 14.5-volt stimulation bursts, which enables it to stimulate cortical activity on-demand through the dura. The device has digitally programmable stimulation output and centimeter-scale alignment tolerances when powered by an external transmitter. We demonstrate that this device has enough power and reliability for real-world operation by showing acute motor cortex activation in human patients and reliable chronic motor cortex activation for 30 days in a porcine model. This platform opens the possibility of simple surgical procedures for precise neuromodulation.
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Affiliation(s)
- Joshua E. Woods
- Department of Electrical and Computer Engineering, Rice University, 6100 Main St, Houston, TX 77005, USA
| | - Amanda L. Singer
- Motif Neurotech, 2450 Holcombe Blvd, Houston, TX 77021, USA
- Applied Physics Program, Rice University, 6100 Main St, Houston, TX 77005, USA
| | - Fatima Alrashdan
- Department of Electrical and Computer Engineering, Rice University, 6100 Main St, Houston, TX 77005, USA
| | - Wendy Tan
- Department of Electrical and Computer Engineering, Rice University, 6100 Main St, Houston, TX 77005, USA
| | - Chunfeng Tan
- Department of Neurology, UTHealth McGovern Medical School, 6431 Fannin St, Houston, TX 77030, USA
| | - Sunil A. Sheth
- Department of Neurology, UTHealth McGovern Medical School, 6431 Fannin St, Houston, TX 77030, USA
| | - Sameer A. Sheth
- Department of Neurosurgery, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA
| | - Jacob T. Robinson
- Department of Electrical and Computer Engineering, Rice University, 6100 Main St, Houston, TX 77005, USA
- Motif Neurotech, 2450 Holcombe Blvd, Houston, TX 77021, USA
- Applied Physics Program, Rice University, 6100 Main St, Houston, TX 77005, USA
- Department of Bioengineering, Rice University, 6100 Main St, Houston, TX 77005, USA
- Department of Neuroscience, Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA
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5
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Mukherjee D, Rainu SK, Singh N, Mallick D. A Miniaturized, Low-Frequency Magnetoelectric Wireless Power Transfer System for Powering Biomedical Implants. IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS 2024; 18:438-450. [PMID: 37999967 DOI: 10.1109/tbcas.2023.3336598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/26/2023]
Abstract
This work experimentally demonstrates the operation of a miniaturized magnetoelectric (ME) wireless power transfer (WPT) system by incorporating a ME transducer and a suitable interface power management circuit (PMC) for potentially powering implantable medical devices (IMD) wirelessly. A ME heterostructure is micromachined to obtain desired device dimensions of 3.5 × 5 mm 2 and to restrict the operating frequency at a clinically approved frequency of 50 kHz. The proposed work also aims to address the trade-off between the device miniaturization, power attenuation and limiting the specific absorption rate (SAR) in the human tissue. By limiting the operating frequency to 50 kHz, the SAR is reduced to less than 1 μW/kg. The fabricated device is characterized with low-intensity AC magnetic field up to 40 μT without using any DC bias, resulting in 0.4 V output voltage and 6.6 μW power across 8 k Ω load. Alignment misorientation between the Tx and Rx is studied for in-plane and out-of-plane angular rotations to confirm the device's reliability against angular misalignment. By eliminating the bulky biasing magnets, the proposed device achieves a significant size reduction compared to the previously reported works. In addition, a self-powered interface PMC is incorporated with the ME system. The PMC generates 3.5 V regulated DC voltage from the input AC voltage range 0.7 V to 3.3 V. The PMC is fabricated on a 2-layered PCB and the over all ME WPT system consumes 12 × 12 mm 2 area. The overall PMC has intrinsic current consumption less than 550 nA with peak power conversion efficiency higher than 85 %. The in vitro cytotoxicity analysis in the human hepatic cell line WRL-68 confirmed the biocompatibility of the Parylene-C encapsulated ME device for up to 7 days, suggesting its potential use in implantable electronic devices for biomedical and clinical applications.
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Taghlabi KM, Cruz-Garza JG, Hassan T, Potnis O, Bhenderu LS, Guerrero JR, Whitehead RE, Wu Y, Luan L, Xie C, Robinson JT, Faraji AH. Clinical outcomes of peripheral nerve interfaces for rehabilitation in paralysis and amputation: a literature review. J Neural Eng 2024; 21:011001. [PMID: 38237175 DOI: 10.1088/1741-2552/ad200f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 01/18/2024] [Indexed: 02/02/2024]
Abstract
Peripheral nerve interfaces (PNIs) are electrical systems designed to integrate with peripheral nerves in patients, such as following central nervous system (CNS) injuries to augment or replace CNS control and restore function. We review the literature for clinical trials and studies containing clinical outcome measures to explore the utility of human applications of PNIs. We discuss the various types of electrodes currently used for PNI systems and their functionalities and limitations. We discuss important design characteristics of PNI systems, including biocompatibility, resolution and specificity, efficacy, and longevity, to highlight their importance in the current and future development of PNIs. The clinical outcomes of PNI systems are also discussed. Finally, we review relevant PNI clinical trials that were conducted, up to the present date, to restore the sensory and motor function of upper or lower limbs in amputees, spinal cord injury patients, or intact individuals and describe their significant findings. This review highlights the current progress in the field of PNIs and serves as a foundation for future development and application of PNI systems.
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Affiliation(s)
- Khaled M Taghlabi
- Department of Neurological Surgery, Houston Methodist Hospital, Houston, TX 77030, United States of America
- Center for Neural Systems Restoration, Houston Methodist Research Institute, Houston, TX 77030, United States of America
- Clinical Innovations Laboratory, Houston Methodist Research Institute, Houston, TX 77030, United States of America
| | - Jesus G Cruz-Garza
- Department of Neurological Surgery, Houston Methodist Hospital, Houston, TX 77030, United States of America
- Center for Neural Systems Restoration, Houston Methodist Research Institute, Houston, TX 77030, United States of America
- Clinical Innovations Laboratory, Houston Methodist Research Institute, Houston, TX 77030, United States of America
| | - Taimur Hassan
- Department of Neurological Surgery, Houston Methodist Hospital, Houston, TX 77030, United States of America
- Center for Neural Systems Restoration, Houston Methodist Research Institute, Houston, TX 77030, United States of America
- Clinical Innovations Laboratory, Houston Methodist Research Institute, Houston, TX 77030, United States of America
- School of Medicine, Texas A&M University, Bryan, TX 77807, United States of America
| | - Ojas Potnis
- Department of Neurological Surgery, Houston Methodist Hospital, Houston, TX 77030, United States of America
- Center for Neural Systems Restoration, Houston Methodist Research Institute, Houston, TX 77030, United States of America
- Clinical Innovations Laboratory, Houston Methodist Research Institute, Houston, TX 77030, United States of America
- School of Engineering Medicine, Texas A&M University, Houston, TX 77030, United States of America
| | - Lokeshwar S Bhenderu
- Department of Neurological Surgery, Houston Methodist Hospital, Houston, TX 77030, United States of America
- Center for Neural Systems Restoration, Houston Methodist Research Institute, Houston, TX 77030, United States of America
- Clinical Innovations Laboratory, Houston Methodist Research Institute, Houston, TX 77030, United States of America
- School of Medicine, Texas A&M University, Bryan, TX 77807, United States of America
| | - Jaime R Guerrero
- Department of Neurological Surgery, Houston Methodist Hospital, Houston, TX 77030, United States of America
- Center for Neural Systems Restoration, Houston Methodist Research Institute, Houston, TX 77030, United States of America
- Clinical Innovations Laboratory, Houston Methodist Research Institute, Houston, TX 77030, United States of America
| | - Rachael E Whitehead
- Department of Academic Affairs, Houston Methodist Academic Institute, Houston, TX 77030, United States of America
| | - Yu Wu
- Rice Neuroengineering Initiative, Rice University, Houston, TX 77005, United States of America
- Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005, United States of America
| | - Lan Luan
- Rice Neuroengineering Initiative, Rice University, Houston, TX 77005, United States of America
- Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005, United States of America
| | - Chong Xie
- Rice Neuroengineering Initiative, Rice University, Houston, TX 77005, United States of America
- Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005, United States of America
| | - Jacob T Robinson
- Rice Neuroengineering Initiative, Rice University, Houston, TX 77005, United States of America
- Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005, United States of America
| | - Amir H Faraji
- Department of Neurological Surgery, Houston Methodist Hospital, Houston, TX 77030, United States of America
- Center for Neural Systems Restoration, Houston Methodist Research Institute, Houston, TX 77030, United States of America
- Clinical Innovations Laboratory, Houston Methodist Research Institute, Houston, TX 77030, United States of America
- Rice Neuroengineering Initiative, Rice University, Houston, TX 77005, United States of America
- Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005, United States of America
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7
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Nair V, Dalrymple AN, Yu Z, Balakrishnan G, Bettinger CJ, Weber DJ, Yang K, Robinson JT. Miniature battery-free bioelectronics. Science 2023; 382:eabn4732. [PMID: 37943926 DOI: 10.1126/science.abn4732] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 09/28/2023] [Indexed: 11/12/2023]
Abstract
Miniature wireless bioelectronic implants that can operate for extended periods of time can transform how we treat disorders by acting rapidly on precise nerves and organs in a way that drugs cannot. To reach this goal, materials and methods are needed to wirelessly transfer energy through the body or harvest energy from the body itself. We review some of the capabilities of emerging energy transfer methods to identify the performance envelope for existing technology and discover where opportunities lie to improve how much-and how efficiently-we can deliver energy to the tiny bioelectronic implants that can support emerging medical technologies.
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Affiliation(s)
- Vishnu Nair
- Rice Neuroengineering Initiative, Rice University, Houston, TX, USA
| | - Ashley N Dalrymple
- Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, USA
- Department of Physical Medicine and Rehabilitation, University of Utah, Salt Lake City, UT, USA
| | - Zhanghao Yu
- Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA
| | - Gaurav Balakrishnan
- Department of Materials Science & Engineering, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Christopher J Bettinger
- Department of Materials Science & Engineering, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Douglas J Weber
- Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, USA
- Center for Neural Basis of Cognition, Pittsburgh, PA, USA
| | - Kaiyuan Yang
- Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA
| | - Jacob T Robinson
- Rice Neuroengineering Initiative, Rice University, Houston, TX, USA
- Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA
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