LONG TERM OBJECTIVES AND SPECIFIC AIMS:
We aim to restore near conversational rate speech in locked-in individuals. In the Phase 1 study, neural recordings from the speech motor area in a 23 year old locked-in subject implanted with the Neurotrophic Electrode System since December 2004 have yielded neural data that have been mapped to phonemic representations and to imagined and actual movements. In the proposed work, we intend to incorporate sophisticated speech recognition algortithms, such as Artificial Neural Networks and Hidden Markov Models, in order to enable rapid pattern recognition for purposes of a real-time Speech Prosthetic development. In addition, Population Vector Analysis as performed for chronic motor studies may realize a method of converting individual neuronal firings into Phonemic or Articulatory Space for driving a Speech Synthesis Model. An additional patient will be implanted with the electrode system to expand and verify the work achieved with the initial subject. The resulting data will add much to understanding the cortical organization of speech production and accelerate the development of a speech prosthetic for locked-in individuals. The website development for data sharing purposes will be expanded and used by the collaborators and other interested parties. ? ?

Public Health Relevance

OF RESEARCH TO PUBLIC HEALTH: The creation of a Speech Prosthetic Device is much needed by locked-in patients suffering from ALS and brain stem stroke. The substantial research being performed in invasive neuroprosthetic studies is focused on enabling recovery of lost motor functions in paralyzed limbs or providing indirect communication through computer software. This work is helpful to locked-in patients; however, such patients have indicated that real-time spontaneous speech is a much more desirable final application. The purpose of this research is to develop a speech prosthetic device using the Neurotrophic Electrode Human Cortical Recording system with sophisticated pattern recognition models and software. The majority of neuroprosthetic studies are focused on enabling recovery of lost motor functions in paralyzed limbs or providing indirect communication through computer software, however we believe that real-time spontaneous speech would be much more desirable application to locked-in patients. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute on Deafness and Other Communication Disorders (NIDCD)
Type
Small Business Innovation Research Grants (SBIR) - Phase II (R44)
Project #
2R44DC007050-02
Application #
7328424
Study Section
Special Emphasis Panel (ZRG1-BDCN-K (10))
Program Officer
Miller, Roger
Project Start
2004-09-06
Project End
2009-06-30
Budget Start
2007-07-01
Budget End
2008-06-30
Support Year
2
Fiscal Year
2007
Total Cost
$369,975
Indirect Cost
Name
Neural Signals, Inc.
Department
Type
DUNS #
129130964
City
Atlanta
State
GA
Country
United States
Zip Code
30340
Sarmah, Elina; Kennedy, Philip (2013) Detecting Silent Vocalizations in a Locked-In Subject. Neurosci J 2013:594624
Brumberg, Jonathan S; Wright, E Joe; Andreasen, Dinal S et al. (2011) Classification of intended phoneme production from chronic intracortical microelectrode recordings in speech-motor cortex. Front Neurosci 5:65
Kennedy, Philip; Andreasen, Dinal; Bartels, Jess et al. (2011) Making the lifetime connection between brain and machine for restoring and enhancing function. Prog Brain Res 194:1-25
Kennedy, Philip (2011) Changes in emotional state modulate neuronal firing rates of human speech motor cortex: a case study in long-term recording. Neurocase 17:381-93
Brumberg, Jonathan S; Nieto-Castanon, Alfonso; Kennedy, Philip R et al. (2010) Brain-Computer Interfaces for Speech Communication. Speech Commun 52:367-379
Guenther, Frank H; Brumberg, Jonathan S; Wright, E Joseph et al. (2009) A wireless brain-machine interface for real-time speech synthesis. PLoS One 4:e8218
Bartels, Jess; Andreasen, Dinal; Ehirim, Princewill et al. (2008) Neurotrophic electrode: method of assembly and implantation into human motor speech cortex. J Neurosci Methods 174:168-76