Electrocorticographic representations of segmental features in continuous speech

被引:52
作者
Lotte, Fabien [1 ]
Brumberg, Jonathan S. [2 ]
Brunner, Peter [3 ,4 ]
Gunduz, Aysegul [5 ]
Ritaccio, Anthony L. [4 ]
Guan, Cuntai [6 ]
Schalk, Gerwin [3 ,4 ]
机构
[1] Inria Bordeaux Sud Ouest LaBRI, Talence, France
[2] Univ Kansas, Dept Speech Language Hearing, Lawrence, KS 66045 USA
[3] New York State Dept Hlth, Wadsworth Ctr, Natl Ctr Adapt Neurotechnol, Albany, NY USA
[4] Albany Med Coll, Dept Neurol, Albany, NY 12208 USA
[5] Univ Florida, J Crayton Pruitt Family Dept Biomed Engn, Gainesville, FL USA
[6] ASTAR, Inst Infocomm Res, Singapore, Singapore
来源
FRONTIERS IN HUMAN NEUROSCIENCE | 2015年 / 9卷
关键词
electrocorticography (ECoG); speech processing; place of articulation; manner of articulation; voicing; GAMMA ACTIVITY; CLASSIFICATION; CORTEX; AREAS;
D O I
10.3389/fnhum.2015.00097
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Acoustic speech output results from coordinated articulation of dozens of muscles, bones and cartilages of the vocal mechanism. While we commonly take the fluency and speed of our speech productions for granted, the neural mechanisms facilitating the requisite muscular control are not completely understood. Previous neuroimaging and electrophysiology studies of speech sensorimotor control has typically concentrated on speech sounds (i.e., phonemes, syllables and words) in isolation; sentence-length investigations have largely been used to inform coincident linguistic processing. In this study, we examined the neural representations of segmental features (place and manner of articulation, and voicing status) in the context of fluent, continuous speech production. We used recordings from the cortical surface [electrocorticography (ECoG)] to simultaneously evaluate the spatial topography and temporal dynamics of the neural correlates of speech articulation that may mediate the generation of hypothesized gestural or articulatory scores. We found that the representation of place of articulation involved broad networks of brain regions during all phases of speech production: preparation, execution and monitoring. In contrast, manner of articulation and voicing status were dominated by auditory cortical responses after speech had been initiated. These results provide a new insight into the articulatory and auditory processes underlying speech production in terms of their motor requirements and acoustic correlates.
引用
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页数:13
相关论文
共 44 条
  • [1] [Anonymous], 2015, The HTK book
  • [2] [Anonymous], PATTERN RECOGNIT LET
  • [3] [Anonymous], CAMBRIDGE HDB PHONOL
  • [4] Antoniou A., 1993, Digital filters
  • [5] Localization and classification of phonemes using high spatial resolution electrocorticography (ECoG) grids
    Blakely, Timothy
    Miller, Kai J.
    Rao, Rajesh P. N.
    Holmes, Mark D.
    Ojemann, Jeffrey G.
    [J]. 2008 30TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-8, 2008, : 4964 - +
  • [6] Single-trial analysis and classification of ERP components - A tutorial
    Blankertz, Benjamin
    Lemm, Steven
    Treder, Matthias
    Haufe, Stefan
    Mueller, Klaus-Robert
    [J]. NEUROIMAGE, 2011, 56 (02) : 814 - 825
  • [7] Functional organization of human sensorimotor cortex for speech articulation
    Bouchard, Kristofer E.
    Mesgarani, Nima
    Johnson, Keith
    Chang, Edward F.
    [J]. NATURE, 2013, 495 (7441) : 327 - 332
  • [8] A larynx area in the human motor cortex
    Brown, Steven
    Ngan, Elton
    Liotti, Mario
    [J]. CEREBRAL CORTEX, 2008, 18 (04) : 837 - 845
  • [9] Classification of intended phoneme production from chronic intracortical microelectrode recordings in speech-motor cortex
    Brumberg, Jonathan S.
    Wright, E. Joe
    Andreasen, Dinal S.
    Guenther, Frank H.
    Kennedy, Philip R.
    [J]. FRONTIERS IN NEUROSCIENCE, 2011, 5 : 1 - 12
  • [10] Categorical speech representation in human superior temporal gyrus
    Chang, Edward F.
    Rieger, Jochem W.
    Johnson, Keith
    Berger, Mitchel S.
    Barbaro, Nicholas M.
    Knight, Robert T.
    [J]. NATURE NEUROSCIENCE, 2010, 13 (11) : 1428 - U169