Literature DB >> 21654935

Listening to Brain Microcircuits for Interfacing With External World-Progress in Wireless Implantable Microelectronic Neuroengineering Devices: Experimental systems are described for electrical recording in the brain using multiple microelectrodes and short range implantable or wearable broadcasting units.

Arto V Nurmikko1, John P Donoghue, Leigh R Hochberg, William R Patterson, Yoon-Kyu Song, Christopher W Bull, David A Borton, Farah Laiwalla, Sunmee Park, Yin Ming, Juan Aceros.   

Abstract

Acquiring neural signals at high spatial and temporal resolution directly from brain microcircuits and decoding their activity to interpret commands and/or prior planning activity, such as motion of an arm or a leg, is a prime goal of modern neurotechnology. Its practical aims include assistive devices for subjects whose normal neural information pathways are not functioning due to physical damage or disease. On the fundamental side, researchers are striving to decipher the code of multiple neural microcircuits which collectively make up nature's amazing computing machine, the brain. By implanting biocompatible neural sensor probes directly into the brain, in the form of microelectrode arrays, it is now possible to extract information from interacting populations of neural cells with spatial and temporal resolution at the single cell level. With parallel advances in application of statistical and mathematical techniques tools for deciphering the neural code, extracted populations or correlated neurons, significant understanding has been achieved of those brain commands that control, e.g., the motion of an arm in a primate (monkey or a human subject). These developments are accelerating the work on neural prosthetics where brain derived signals may be employed to bypass, e.g., an injured spinal cord. One key element in achieving the goals for practical and versatile neural prostheses is the development of fully implantable wireless microelectronic "brain-interfaces" within the body, a point of special emphasis of this paper.

Entities:  

Year:  2010        PMID: 21654935      PMCID: PMC3108264          DOI: 10.1109/JPROC.2009.2038949

Source DB:  PubMed          Journal:  Proc IEEE Inst Electr Electron Eng        ISSN: 0018-9219            Impact factor:   10.961


  42 in total

1.  A microelectrode/microelectronic hybrid device for brain implantable neuroprosthesis applications.

Authors:  William R Patterson; Yoon-Kyu Song; Christopher W Bull; Ilker Ozden; Andrew P Deangellis; Christopher Lay; J Lucas McKay; Arto V Nurmikko; John D Donoghue; Barry W Connors
Journal:  IEEE Trans Biomed Eng       Date:  2004-10       Impact factor: 4.538

2.  Development of a chipscale integrated microelectrode/microelectronic device for brain implantable neuroengineering applications.

Authors:  Yoon-Kyu Song; William R Patterson; Christopher W Bull; Joseph Beals; Naejye Hwang; Andrew P Deangelis; Christopher Lay; J Lucas McKay; Arto V Nurmikko; Matthew R Fellows; John D Simeral; John P Donoghue; Barry W Connors
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2005-06       Impact factor: 3.802

3.  A single-chip signal processing and telemetry engine for an implantable 96-channel neural data acquisition system.

Authors:  Michael Rizk; Iyad Obeid; Stephen H Callender; Patrick D Wolf
Journal:  J Neural Eng       Date:  2007-07-20       Impact factor: 5.379

4.  Instant neural control of a movement signal.

Authors:  Mijail D Serruya; Nicholas G Hatsopoulos; Liam Paninski; Matthew R Fellows; John P Donoghue
Journal:  Nature       Date:  2002-03-14       Impact factor: 49.962

5.  Bridging the brain to the world: a perspective on neural interface systems.

Authors:  John P Donoghue
Journal:  Neuron       Date:  2008-11-06       Impact factor: 17.173

6.  Wireless, high-bandwidth recordings from non-human primate motor cortex using a scalable 16-Ch implantable microsystem.

Authors:  David A Borton; Yoon-Kyu Song; William R Patterson; Christopher W Bull; Sunmee Park; Farah Laiwalla; John P Donoghue; Arto V Nurmikko
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

7.  HermesC: low-power wireless neural recording system for freely moving primates.

Authors:  Cynthia A Chestek; Vikash Gilja; Paul Nuyujukian; Ryan J Kier; Florian Solzbacher; Stephen I Ryu; Reid R Harrison; Krishna V Shenoy
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2009-06-02       Impact factor: 3.802

8.  Active microelectronic neurosensor arrays for implantable brain communication interfaces.

Authors:  Y-K Song; D A Borton; S Park; W R Patterson; C W Bull; F Laiwalla; J Mislow; J D Simeral; J P Donoghue; A V Nurmikko
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2009-06-05       Impact factor: 3.802

9.  Neural control of computer cursor velocity by decoding motor cortical spiking activity in humans with tetraplegia.

Authors:  Sung-Phil Kim; John D Simeral; Leigh R Hochberg; John P Donoghue; Michael J Black
Journal:  J Neural Eng       Date:  2008-11-18       Impact factor: 5.379

10.  Integrated device for optical stimulation and spatiotemporal electrical recording of neural activity in light-sensitized brain tissue.

Authors:  Jiayi Zhang; Farah Laiwalla; Jennifer A Kim; Hayato Urabe; Rick Van Wagenen; Yoon-Kyu Song; Barry W Connors; Feng Zhang; Karl Deisseroth; Arto V Nurmikko
Journal:  J Neural Eng       Date:  2009-09-01       Impact factor: 5.379

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  22 in total

Review 1.  Autonomous head-mounted electrophysiology systems for freely behaving primates.

Authors:  Vikash Gilja; Cindy A Chestek; Paul Nuyujukian; Justin Foster; Krishna V Shenoy
Journal:  Curr Opin Neurobiol       Date:  2010-07-23       Impact factor: 6.627

2.  Efficient decoding with steady-state Kalman filter in neural interface systems.

Authors:  Wasim Q Malik; Wilson Truccolo; Emery N Brown; Leigh R Hochberg
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2010-11-15       Impact factor: 3.802

Review 3.  Optrodes for combined optogenetics and electrophysiology in live animals.

Authors:  Suzie Dufour; Yves De Koninck
Journal:  Neurophotonics       Date:  2015-07-02       Impact factor: 3.593

4.  A recurrent neural network for closed-loop intracortical brain-machine interface decoders.

Authors:  David Sussillo; Paul Nuyujukian; Joline M Fan; Jonathan C Kao; Sergey D Stavisky; Stephen Ryu; Krishna Shenoy
Journal:  J Neural Eng       Date:  2012-03-19       Impact factor: 5.379

Review 5.  A dynamical systems view of motor preparation: implications for neural prosthetic system design.

Authors:  Krishna V Shenoy; Matthew T Kaufman; Maneesh Sahani; Mark M Churchland
Journal:  Prog Brain Res       Date:  2011       Impact factor: 2.453

6.  A Q-Modulation Technique for Efficient Inductive Power Transmission.

Authors:  Mehdi Kiani; Byunghun Lee; Pyungwoo Yeon; Maysam Ghovanloo
Journal:  IEEE J Solid-State Circuits       Date:  2015-11-26       Impact factor: 5.013

Review 7.  Developing Collaborative Platforms to Advance Neurotechnology and Its Translation.

Authors:  David A Borton; Heather E Dawes; Gregory A Worrell; Philip A Starr; Timothy J Denison
Journal:  Neuron       Date:  2020-10-28       Impact factor: 17.173

8.  A wideband dual-antenna receiver for wireless recording from animals behaving in large arenas.

Authors:  Seung Bae Lee; Ming Yin; Joseph R Manns; Maysam Ghovanloo
Journal:  IEEE Trans Biomed Eng       Date:  2013-02-15       Impact factor: 4.538

9.  An implantable wireless neural interface for recording cortical circuit dynamics in moving primates.

Authors:  David A Borton; Ming Yin; Juan Aceros; Arto Nurmikko
Journal:  J Neural Eng       Date:  2013-02-21       Impact factor: 5.379

10.  Intention estimation in brain-machine interfaces.

Authors:  Joline M Fan; Paul Nuyujukian; Jonathan C Kao; Cynthia A Chestek; Stephen I Ryu; Krishna V Shenoy
Journal:  J Neural Eng       Date:  2014-02       Impact factor: 5.379

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