Mathematics and Electrical and Computer Engineering

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A Wireless Multiscale Distributed Interface to the Cortex

Karim G Oweiss

15 August 2008 - 31 July 2012
NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE
Total Funding: $ 2,063,873

DESCRIPTION (provided by applicant): The development of advanced neuroprosthetic systems and brain-machine interfaces for high-capacity, real-time, bi-directional communication with the nervous system is a major challenge to the emerging neural engineering discipline. While recent advances in the fabrication of high-density microelectrode arrays (HDMEAs) for multiunit recording and stimulation have triggered numerous neurobiological discoveries, the resulting large data throughput and the variability of cortical responses over repeated trials preclude the ability to design a wireless, adaptive, fully implantable large-scale interface to the cortex. This severely limits the feasibility and space of experimental paradigms needed to improve our understanding of the nervous system functionality and characterize cortical responses in freely behaving subjects interacting naturally with their surroundings. The objective of this project is to develop a wireless interface to the cortex capable of processing simultaneously recorded neural signalsfrom 64 electrode channels in real time. The project has 3 aims: 1. Develop advanced signal processing algorithms for sensing and decoding neuronal response properties from distributed intra-cortical neural activity: 1) Optimize our existing signal processing algorithms for hardware implementation to extract the desired neural activity early in the data stream;2) Develop new algorithms for decoding these responses to characterize the natural behavior of awake, behaving animal models. 2. Design low-power integrated circuits and wireless telemetry for a 64 channel system: 1) Optimize the design of a low power Neural Interface Node (NIN) module to feature wireless communication and powering capability for subcutaneous implantation;2) Design and fabricate an extracranial Manager Interface Module (MIM) to permit: a) wireless powering and data exchange with up to 2 implanted NIN modules;b) wireless bidirectional exchange of data and control with a central base station. 3. Demonstrate the system functionality in vitro and vivo: 1) Build a 32 channel system and test its performance in vitro in retinal slices and in vivo in awake behaving rodents;2) Demonstrate the real time functionality of a 64 channel system in vitro and explore its feasibility in vivo;3) Optimize the entire system design, and benchmark it against a commercial 64 channel wired data acquisition system. PUBLIC HEALTH RELEVANCE: This project seeks to develop a wireless electronic microsystem to be implanted in the rat brain to continuously monitor neural signals when the rat is freely behaving in an open environment. This system will help understand how brain cells process information. This will help design assistive technology for people with severe paralysis.

8 Resulting Publications

• 1.

  2012

  John Daly; Jianbo Liu; Mehdi Aghagolzadeh; Karim Oweiss

  Optimal space-time precoding of artificial sensory feedback through mutichannel microstimulation in bi-directional brain-machine interfaces.

  Journal of neural engineering 2012;9(6):065004.

• 2.

  2012

  Ki Yong Kwon; Seif Eldawlatly; Karim Oweiss

  NeuroQuest: a comprehensive analysis tool for extracellular neural ensemble recordings.

  Journal of neuroscience methods 2012;204(1):189-201.

• 3.

  2011

  Jianbo Liu; Hassan K Khalil; Karim G Oweiss

  Neural feedback for instantaneous spatiotemporal modulation of afferent pathways in bi-directional brain-machine interfaces.

  IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society 2011;19(5):521-33.

• 4.

  2011

  Moritz Grosse-Wentrup; Donatella Mattia; Karim Oweiss

  Using brain-computer interfaces to induce neural plasticity and restore function.

  Journal of neural engineering 2011;8(2):025004.

• 5.

  2011

  Fei Zhang; Mehdi Aghagolzadeh; Karim Oweiss

  A programmable and implantable microsystem for multimodal processing of ensemble neural recordings.

  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference 2011;2011():3035-8.

• 6.

  2011

  Mehdi Kiani; Ki Yong Kwon; Fei Zhang; Karim Oweiss; Maysam Ghovanloo

  Evaluation of a closed loop inductive power transmission system on an awake behaving animal subject.

  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference 2011;2011():7658-61.

• 7.

  2010

  Mehdi Aghagolzadeh; Fei Zhang; Karim Oweiss

  An implantable VLSI architecture for real time spike sorting in cortically controlled Brain Machine Interfaces.

  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference 2010;2010():1569-72.

• 8.

  2009

  Mehdi Aghagolzadeh; Karim Oweiss

  Compressed and distributed sensing of neuronal activity for real time spike train decoding.

  IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society 2009;17(2):116-27.

Scientific Context

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