title: Wireless Recording in the Peripheral Nervous System with Ultrasonic Neural Dust.
abstract: The emerging field of bioelectronic medicine seeks methods for deciphering and modulating electrophysiological activity in the body to attain therapeutic effects at target organs. Current approaches to interfacing with peripheral nerves and muscles rely heavily on wires, creating problems for chronic use, while emerging wireless approaches lack the size scalability necessary to interrogate small-diameter nerves. Furthermore, conventional electrode-based technologies lack the capability to record from nerves with high spatial resolution or to record independently from many discrete sites within a nerve bundle. Here, we demonstrate neural dust, a wireless and scalable ultrasonic backscatter system for powering and communicating with implanted bioelectronics. We show that ultrasound is effective at delivering power to mm-scale devices in tissue; likewise, passive, battery-less communication using backscatter enables high-fidelity transmission of electromyogram (EMG) and electroneurogram (ENG) signals from anesthetized rats. These results highlight the potential for an ultrasound-based neural interface system for advancing future bioelectronics-based therapies.
authors: Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA 94720, USA.
authors: Dongjin
authors: D
authors: Seo
authors: Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA 94720, USA.
authors: Ryan M
authors: RM
authors: Neely
authors: Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA 94720, USA.
authors: Konlin
authors: K
authors: Shen
authors: Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA 94720, USA.
authors: Utkarsh
authors: U
authors: Singhal
authors: Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA 94720, USA.
authors: Elad
authors: E
authors: Alon
authors: Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA 94720, USA.
authors: Jan M
authors: JM
authors: Rabaey
authors: Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA 94720, USA; Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA 94720, USA; UCB/UCSF Joint Graduate Program in Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA. Electronic address: jcarmena@berkeley.edu.
authors: Jose M
authors: JM
authors: Carmena
authors: Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA 94720, USA; UCB/UCSF Joint Graduate Program in Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA. Electronic address: maharbiz@berkeley.edu.
authors: Michel M
authors: MM
authors: Maharbiz
mesh_terms: D000818:Animals; D004576:Electromyography / Q000295:instrumentation*; D004594:Electrophysiology / Q000295:instrumentation*; D017933:Peripheral Nervous System / Q000502:physiology*; D019736:Prostheses and Implants; D051381:Rats; D058998:Remote Sensing Technology / Q000379:methods; D000069453:Ultrasonic Waves; D059015:Wireless Technology / Q000295:instrumentation*