Characterizing articulation in apraxic speech using real-time magnetic resonance imaging

Christina Hagedorn, Michael Proctor, Louis Goldstein, Stephen M. Wilson, Bruce Miller, Maria Luisa Gorno-Tempini, Shrikanth S. Narayanan

Research output: Research - peer-reviewArticle

Abstract

Purpose: Real-time magnetic resonance imaging (MRI) and accompanying analytical methods are shown to capture and quantify salient aspects of apraxic speech, substantiating and expanding upon evidence provided by clinical observation and acoustic and kinematic data. Analysis of apraxic speech errors within a dynamic systems framework is provided and the nature of pathomechanisms of apraxic speech discussed. Method: One adult male speaker with apraxia of speech was imaged using real-time MRI while producing spontaneous speech, repeated naming tasks, and self-paced repetition of word pairs designed to elicit speech errors. Articulatory data were analyzed, and speech errors were detected using time series reflecting articulatory activity in regions of interest. Results: Real-time MRI captured two types of apraxic gestural intrusion errors in a word pair repetition task. Gestural intrusion errors in nonrepetitive speech, multiple silent initiation gestures at the onset of speech, and covert (unphonated) articulation of entire monosyllabic words were also captured. Conclusion: Real-time MRI and accompanying analytical methods capture and quantify many features of apraxic speech that have been previously observed using other modalities while offering high spatial resolution. This patient’s apraxia of speech affected the ability to select only the appropriate vocal tract gestures for a target utterance, suppressing others, and to coordinate them in time.

LanguageEnglish
Pages877-891
Number of pages15
JournalJournal of Speech, Language, and Hearing Research
Volume60
Issue number4
DOIs
StatePublished - 14 Apr 2017

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Magnetic Resonance Imaging
Apraxias
Gestures
Articulation
time
Aptitude
Biomechanical Phenomena
Acoustics
Speech Errors
acoustics
time series
Observation
Intrusion
Gesture
Apraxia of Speech
ability
evidence

Cite this

Hagedorn, C., Proctor, M., Goldstein, L., Wilson, S. M., Miller, B., Gorno-Tempini, M. L., & Narayanan, S. S. (2017). Characterizing articulation in apraxic speech using real-time magnetic resonance imaging. Journal of Speech, Language, and Hearing Research, 60(4), 877-891. DOI: 10.1044/2016_JSLHR-S-15-0112
Hagedorn, Christina ; Proctor, Michael ; Goldstein, Louis ; Wilson, Stephen M. ; Miller, Bruce ; Gorno-Tempini, Maria Luisa ; Narayanan, Shrikanth S./ Characterizing articulation in apraxic speech using real-time magnetic resonance imaging. In: Journal of Speech, Language, and Hearing Research. 2017 ; Vol. 60, No. 4. pp. 877-891
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Hagedorn, C, Proctor, M, Goldstein, L, Wilson, SM, Miller, B, Gorno-Tempini, ML & Narayanan, SS 2017, 'Characterizing articulation in apraxic speech using real-time magnetic resonance imaging' Journal of Speech, Language, and Hearing Research, vol 60, no. 4, pp. 877-891. DOI: 10.1044/2016_JSLHR-S-15-0112

Characterizing articulation in apraxic speech using real-time magnetic resonance imaging. / Hagedorn, Christina; Proctor, Michael; Goldstein, Louis; Wilson, Stephen M.; Miller, Bruce; Gorno-Tempini, Maria Luisa; Narayanan, Shrikanth S.

In: Journal of Speech, Language, and Hearing Research, Vol. 60, No. 4, 14.04.2017, p. 877-891.

Research output: Research - peer-reviewArticle

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Hagedorn C, Proctor M, Goldstein L, Wilson SM, Miller B, Gorno-Tempini ML et al. Characterizing articulation in apraxic speech using real-time magnetic resonance imaging. Journal of Speech, Language, and Hearing Research. 2017 Apr 14;60(4):877-891. Available from, DOI: 10.1044/2016_JSLHR-S-15-0112