Motor learning guided treatment for acquired apraxia of speech

Johnson, Rachel K.

doi:10.1080/2050571x.2017.1379721

Cited by 7 publications

(4 citation statements)

References 42 publications

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“…The results from this pilot study investigation support the use of both a qualitative and quantitative scale to measure speech motor changes during intervention. The speech motor changes identified using the multidimensional rating scale during MLG treatment for acquired AOS were similar to those from previous MLG investigations [12][13][14]22,23,26]. The hybrid scale comparably captures the speech motor changes in the quantitative measure of correct word approximations and the calculated total score.…”

Section: Discussionsupporting

confidence: 76%

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A Comparison of Outcome Measures for Speech Motor Learning in Acquired Apraxia of Speech Using Motor Learning Guided Treatment

Johnson¹,

Lott²,

Prebor³

2018

Clin Arch Commun Disord

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Acquired apraxia of speech (AOS) in isolation following a stroke is a rare occurrence; it is often accompanied by aphasia and/or dysarthria. Distinguishing characteristics of AOS are sound substitutions and sound distortions, an increase in these distortions with an increased rate and/or increased complexity, articulatory inaccuracy related to place and manner, and a disproportionate number of words per minute relative to maximum sustained vowel duration [1,2]. Most AOS treatment protocols are characterized as articulatory-kinematic approaches based on the theoretical framework that AOS is a phonatory-motor disorder. This distinction is relevant given the diversity of outcome measures reported across treatment studies. Outcome measures reported in the literature vary from binary systems to multidimensional rating scales. Each system comes with its own advantage and disadvantage Purpose: The purpose of this study was to investigate potential benefits of using a qualitative and quantitative outcome measure of articulation accuracy and suprasegmental characteristics in isolation for speech motor learning in acquired apraxia of speech (AOS). Methods: Baseline, retention, and maintenance measures from an oral reading task of 2 speakers with chronic AOS and aphasia were rated using an 11-point multidimensional rating scale accounting for articulation and immediacy and a hybrid scale measuring number of correctly produced words, presence of distortions in correctly produced words, and immediacy of the production. Participants received motor learning guided treatment two days a week for eighteen sessions. Results: The multidimensional rating scale and the hybrid scale comparably represented speech motor changes related to articulation accuracy and immediacy of the production across the duration of the intervention. The hybrid scale provided a sensitive measure for individual differences in immediacy and presence of distortions not represented in the multidimensional rating scale. Conclusions: The results of this pilot study provide evidence to support the benefit of using a qualitative and quantitative outcome measure for speech motor changes in acquired AOS. The individual differences identified through the hybrid scale have clinical and research implications.

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Section: Discussionsupporting

confidence: 76%

“…Speech productions during baseline, retention, and maintenance measures were initially rated using an 11-point multidimensional rating scale as previously described [13,22,23]. Productions were judged on perception of production's overall articulation accuracy, intelligibility, and immediacy (Table 3).…”

Section: Dependent Variablesmentioning

confidence: 99%

A Comparison of Outcome Measures for Speech Motor Learning in Acquired Apraxia of Speech Using Motor Learning Guided Treatment

Johnson¹,

Lott²,

Prebor³

2018

Clin Arch Commun Disord

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“…Participants were seated comfortably at ∼5 m distance from a computer monitor. Each session began with an oral reading task used as a measure of speech motor learning, proceeded by the intervention following the Motor Learning Guided (MLG) treatment protocol, as previously described [36]. There are three stages in the MLG protocol, each stage differing by practice structure.…”

Section: Experimental Designmentioning

confidence: 99%

Statistical Analysis of fNIRS Data: Consideration of Spatial Varying Coefficient Model of Prefrontal Cortex Activity Changes During Speech Motor Learning in Apraxia of Speech

Johnson

Matthews

Diawara

et al. 2020

Front. Appl. Math. Stat.

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Apraxia of speech is an impairment in the planning and programming of speech typically accompanied by aphasia (language impairment) secondary to a left hemisphere stroke. It is unknown if the structural and functional connections to the damaged area implicate the integrity of the cognitive functions of the prefrontal cortex (PFC). The present study examines the feasibility of measuring hemodynamic activity in the PFC in response to the structure of practice and during treatment. This multiple-baseline single case-design study involving two individuals with chronic acquired apraxia of speech measured the hemodynamic changes in PFC activity during treatment across the intervention period using functional near-infrared spectroscopy (fNIRS). Two models-a generalized linear model and a spatial varying coefficient model-are used to distinguish the repeated measures of PFC activity differences corresponding to the stage of practice and time of intervention. There were significant differences in the pattern of PFC activity associated with the structure of practice and the time of intervention. The outcomes from this pilot study demonstrate the utility of fNIRS to identify cognitive effort during speech motor learning. The implications include consideration for statistical methods used for fNIRS analysis and its potential use as a clinical tool to complement behavior changes to guide patient-directed intervention to optimize patient outcomes.

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“…While a wealth of limb studies have demonstrated the effectiveness of PMLs to enhance retention of trained limb movements, to date, few studies have investigated the application of PMLs to speech in healthy young adults (Adams & Page, 2000;Jones & Croot, 2016;Kim, LaPointe, & Stierwalt, 2012;Lowe & Buchwald, 2017;Steinhauer & Grayhack, 2000), healthy older adults (Kaipa, Robb, & Jones, 2017;Weir-Mayta, Spencer, Bierer et al, 2019), and those with acquired motor speech disorders in adults (Adams et al, 2002;Austermann et al, 2008;Ballard, 2001;Bislick et al, 2012;Johnson, 2018;Johnson, Lasker, Stierwalt, MacPherson, & LaPoint, 2018;Johnson, Lott, & Prebor, 2018;Wambaugh et al, 2013Wambaugh et al, , 2014Wambaugh et al, , 2018Wambaugh et al, , 2020. Although differences between the neural circuitries of limb and speech exist (e.g., complexity and fast rate of articulation, no visual feedback from structures involved during speech, etc.…”

Section: Introductionmentioning

confidence: 99%