This grant proposes the development and testing of a highly advanced neural interface system that incorporates the best features of modern neural interfaces into a single system. The Micro Neural Interface (MNI) system is comprised of up to 100 independent, wireless, biological sensors with on-board signal conditioning and spike detection. Each probe communicates with and is powered via a 2.4 GHz wireless RF transceiver. Individual probes can be implanted within cortical and subcortical structures. The MNI system has two operating modes: time stamp and streaming. In time stamp mode, each MNI probe is queried sequentially such that data from all probes is collected every 1000 5s. Each probe is independently programmed with two threshold settings to provide basic spike discrimination. In the streaming mode, a single probe transmits neural data that is digitized with 8 bits of resolution at 10 KHz to a basestation. This mode allows the user to examine the spike waveforms and perform manual spike sorting on an external PC, but it can address only a single probe at a time. Threshold crossings are also transmitted during the streaming mode to allow functional verification.
Two specific aims are proposed for this research SA1) Development of wireless Micro-Neural Interface (MNI) probes and basestation. SA2) In-vivo testing of the MNI system in rodents.

Public Health Relevance

Narrative The significance of this work to human health is that it will result in a highly novel neural interface design. First, the MNI system will provide researchers and potentially clinicians with unparalleled access to neural activity across cortical and subcortical structures. This access will allow scientist to understand distributed neural processing and provide a tool for more in-depth understanding of neurological disorders. Second, the MNI system may be used as a Brain Machine Interface.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
7R01NS062065-02
Application #
8033564
Study Section
Neurotechnology Study Section (NT)
Program Officer
Kleitman, Naomi
Project Start
2009-05-01
Project End
2012-03-31
Budget Start
2009-09-01
Budget End
2010-03-31
Support Year
2
Fiscal Year
2009
Total Cost
$291,360
Indirect Cost
Name
University of Texas-Dallas
Department
Type
Other Domestic Higher Education
DUNS #
800188161
City
Richardson
State
TX
Country
United States
Zip Code
75080
Wood, Sossena; Krishnamurthy, Narayanan; Santini, Tales et al. (2017) Design and fabrication of a realistic anthropomorphic heterogeneous head phantom for MR purposes. PLoS One 12:e0183168
Pruitt, David T; Schmid, Ariel N; Kim, Lily J et al. (2016) Vagus Nerve Stimulation Delivered with Motor Training Enhances Recovery of Function after Traumatic Brain Injury. J Neurotrauma 33:871-9
Ware, Taylor; Simon, Dustin; Liu, Clive et al. (2014) Thiol-ene/acrylate substrates for softening intracortical electrodes. J Biomed Mater Res B Appl Biomater 102:1-11
Zhao, Yujuan; Rennaker, Robert L; Hutchens, Chris et al. (2014) Implanted miniaturized antenna for brain computer interface applications: analysis and design. PLoS One 9:e103945
An, Guanglei; Hutchens, Chriswell; Rennaker 2nd, Robert L (2014) A 700mV low power low noise implantable neural recording system design. Conf Proc IEEE Eng Med Biol Soc 2014:6557-60
Markwardt, Neil T; Stokol, Jodi; Rennaker 2nd, Robert L (2013) Sub-meninges implantation reduces immune response to neural implants. J Neurosci Methods 214:119-25
Zhao, Yujuan; Tang, Lin; Rennaker, Robert et al. (2013) Studies in RF power communication, SAR, and temperature elevation in wireless implantable neural interfaces. PLoS One 8:e77759
Hutchens, Chriswell; Rennaker 2nd, Robert L; Venkataraman, Srinivasan et al. (2011) Implantable radio frequency identification sensors: wireless power and communication. Conf Proc IEEE Eng Med Biol Soc 2011:2886-92