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.
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页数:13
相关论文
共 44 条
  • [21] Lancaster JL, 2000, HUM BRAIN MAPP, V10, P120, DOI 10.1002/1097-0193(200007)10:3<120::AID-HBM30>3.0.CO
  • [22] 2-8
  • [23] A well-conditioned estimator for large-dimensional covariance matrices
    Ledoit, O
    Wolf, M
    [J]. JOURNAL OF MULTIVARIATE ANALYSIS, 2004, 88 (02) : 365 - 411
  • [24] Temporal evolution of gamma activity in human cortex during an overt and covert word repetition task
    Leuthardt, Eric C.
    Pei, Xiao-Mei
    Breshears, Jonathan
    Gaona, Charles
    Sharma, Mohit
    Freudenberg, Zac
    Barbour, Dennis
    Schalk, Gerwin
    [J]. FRONTIERS IN HUMAN NEUROSCIENCE, 2012, 6
  • [25] Levelt WJM, 1999, BEHAV BRAIN SCI, V22, P1
  • [26] A review of classification algorithms for EEG-based brain-computer interfaces
    Lotte, F.
    Congedo, M.
    Lecuyer, A.
    Lamarche, F.
    Arnaldi, B.
    [J]. JOURNAL OF NEURAL ENGINEERING, 2007, 4 (02) : R1 - R13
  • [27] LEARNING FROM OTHER SUBJECTS HELPS REDUCING BRAIN-COMPUTER INTERFACE CALIBRATION TIME
    Lotte, Fabien
    Guan, Cuntai
    [J]. 2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2010, : 614 - 617
  • [28] Martin Stephanie, 2014, Front Neuroeng, V7, P14, DOI 10.3389/fneng.2014.00014
  • [29] Mellinger J, 2010, FRONT COLLECT, P259, DOI 10.1007/978-3-642-02091-9_15
  • [30] Direct classification of all American English phonemes using signals from functional speech motor cortex
    Mugler, Emily M.
    Patton, James L.
    Flint, Robert D.
    Wright, Zachary A.
    Schuele, Stephan U.
    Rosenow, Joshua
    Shih, Jerry J.
    Krusienski, Dean J.
    Slutzky, Marc W.
    [J]. JOURNAL OF NEURAL ENGINEERING, 2014, 11 (03)