Classification of intended phoneme production from chronic intracortical microelectrode recordings in speech motor cortex

We conducted a neurophysiological study of attempted speech production in a paralyzed human volunteer using chronic microelectrode recordings. The volunteer suffers from locked-in syndrome leaving him in a state of near-total paralysis, though he maintains good cognition and sensation. In this study...

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Main Authors: Jonathan S Brumberg, E. Joe Wright, Dinal S Andreasen, Frank H Guenther, Philip R Kennedy
Format: Article
Language:English
Published: Frontiers Media S.A. 2011-05-01
Series:Frontiers in Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnins.2011.00065/full
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author Jonathan S Brumberg
E. Joe Wright
Dinal S Andreasen
Dinal S Andreasen
Frank H Guenther
Frank H Guenther
Frank H Guenther
Philip R Kennedy
author_facet Jonathan S Brumberg
E. Joe Wright
Dinal S Andreasen
Dinal S Andreasen
Frank H Guenther
Frank H Guenther
Frank H Guenther
Philip R Kennedy
author_sort Jonathan S Brumberg
collection DOAJ
description We conducted a neurophysiological study of attempted speech production in a paralyzed human volunteer using chronic microelectrode recordings. The volunteer suffers from locked-in syndrome leaving him in a state of near-total paralysis, though he maintains good cognition and sensation. In this study, we investigated the feasibility of supervised classification techniques for prediction of intended phoneme production in the absence of any overt movements including speech. Such classification or decoding ability has the potential to greatly improve the quality-of-life of many people who are otherwise unable to speak by providing a direct communicative link to the general community. We examined the performance of three classifiers on a multi-class discrimination problem in which the items were 38 American English phonemes including monophthong and diphthong vowels and consonants. The three classifiers differed in performance, but averaged between 16-21% overall accuracy (chance-level is 1/38 or 2.6%). Further, the distribution of phonemes classified statistically above chance was non-uniform though 20 of 38 phonemes were classified with statistical significance for all three classifiers. These preliminary results suggest supervised classification techniques are capable of performing large scale multi-class discrimination for attempted speech production and may provide the basis for future communication prostheses.
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spelling doaj.art-1185856a3bf5442492cc35b13fdb91c22022-12-22T03:19:03ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2011-05-01510.3389/fnins.2011.000657880Classification of intended phoneme production from chronic intracortical microelectrode recordings in speech motor cortexJonathan S Brumberg0E. Joe Wright1Dinal S Andreasen2Dinal S Andreasen3Frank H Guenther4Frank H Guenther5Frank H Guenther6Philip R Kennedy7Boston UniversityNeural Signals, Inc.Neural Signals, Inc.Georgia Tech Research InstituteBoston UniversityBoston UniversityHarvard University-Massachusetts Institute of TechnologyNeural Signals, Inc.We conducted a neurophysiological study of attempted speech production in a paralyzed human volunteer using chronic microelectrode recordings. The volunteer suffers from locked-in syndrome leaving him in a state of near-total paralysis, though he maintains good cognition and sensation. In this study, we investigated the feasibility of supervised classification techniques for prediction of intended phoneme production in the absence of any overt movements including speech. Such classification or decoding ability has the potential to greatly improve the quality-of-life of many people who are otherwise unable to speak by providing a direct communicative link to the general community. We examined the performance of three classifiers on a multi-class discrimination problem in which the items were 38 American English phonemes including monophthong and diphthong vowels and consonants. The three classifiers differed in performance, but averaged between 16-21% overall accuracy (chance-level is 1/38 or 2.6%). Further, the distribution of phonemes classified statistically above chance was non-uniform though 20 of 38 phonemes were classified with statistical significance for all three classifiers. These preliminary results suggest supervised classification techniques are capable of performing large scale multi-class discrimination for attempted speech production and may provide the basis for future communication prostheses.http://journal.frontiersin.org/Journal/10.3389/fnins.2011.00065/fullMotor Cortexlocked-in syndromechronic recordingNeurotrophic Electrodespeech prosthesis
spellingShingle Jonathan S Brumberg
E. Joe Wright
Dinal S Andreasen
Dinal S Andreasen
Frank H Guenther
Frank H Guenther
Frank H Guenther
Philip R Kennedy
Classification of intended phoneme production from chronic intracortical microelectrode recordings in speech motor cortex
Frontiers in Neuroscience
Motor Cortex
locked-in syndrome
chronic recording
Neurotrophic Electrode
speech prosthesis
title Classification of intended phoneme production from chronic intracortical microelectrode recordings in speech motor cortex
title_full Classification of intended phoneme production from chronic intracortical microelectrode recordings in speech motor cortex
title_fullStr Classification of intended phoneme production from chronic intracortical microelectrode recordings in speech motor cortex
title_full_unstemmed Classification of intended phoneme production from chronic intracortical microelectrode recordings in speech motor cortex
title_short Classification of intended phoneme production from chronic intracortical microelectrode recordings in speech motor cortex
title_sort classification of intended phoneme production from chronic intracortical microelectrode recordings in speech motor cortex
topic Motor Cortex
locked-in syndrome
chronic recording
Neurotrophic Electrode
speech prosthesis
url http://journal.frontiersin.org/Journal/10.3389/fnins.2011.00065/full
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