Process‐Oriented Diagnosis of Childhood and Adult Apraxia of Speech (CAS and AOS)

Maassen, Ben; Terband, Hayo

doi:10.1002/9781118584156.ch15

Cited by 12 publications

(22 citation statements)

References 43 publications

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“…Also known as diadochokinesis, this is one of the most commonly used oral motor assessments in clinical practice. As it is a pure motor task and does not require any knowledge of words, syllables, or phonemes (Maassen & Terband, 2015), the MRR is exploited to differentiate types of SSDs (Lewis, Freebairn, Hansen, Iyengar, & Taylor, 2004;Murray, McCabe, Heard, & Ballard, 2015;Preston & Edwards, 2009;Rvachew, Hodge, & Ohberg, 2005;Shriberg et al, 2010;Thoonen, Maassen, Gabreels, & Schreuder, 1999;Thoonen, Maassen, Wit, Gabreëls, & Schreuder , 1996). MRR is especially useful in the differential diagnosis of children with CAS.…”

Section: Tasksmentioning

confidence: 99%

“…Syllables are the basic units of the next process: articulomotor planning and programming. The final process is execution, where the articulatory movements are performed, resulting in an acoustic speech signal (Maassen & Terband, 2015). Children with speech production deficits or speech sound disorders (SSDs) can experience problems at the level of lexeme retrieval, phonological encoding, articulomotor planning and programming, and/or execution.…”

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confidence: 99%

“…Gauging both phonological and speech motor skills of children in the ages between 2 and 7 years, the tasks comprise (a) picture naming, (b) nonword imitation, (c) word and nonword repetition, and (d) maximum repetition rate (MRR). As demonstrated in Figure 1, picture naming taps into the whole chain of speech processes, from preverbal visual-conceptual processing to lemma access, word form selection, phonological encoding, motor planning, and articulation (motor execution; Maassen & Terband, 2015). During nonword imitation, a child is asked to reproduce nonwords (or nonsense words).…”

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confidence: 99%

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The Psychometric Evaluation of a Speech Production Test Battery for Children: The Reliability and Validity of the Computer Articulation Instrument

Haaften

Diepeveen

Engel-Hoek

et al. 2019

J Speech Lang Hear Res

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Purpose The aims of this study were to assess the reliability and validity of the Computer Articulation Instrument (CAI), a speech production test battery assessing phonological and speech motor skills in 4 tasks: (1) picture naming, (2) nonword imitation, (3) word and nonword repetition, and (4) maximum repetition rate (MRR). Method Normative data were collected in 1,524 typically developing Dutch-speaking children (aged between 2;0 and 7;0 [years;months]). Parameters were extracted on segmental and syllabic accuracy (Tasks 1 and 2), consistency (Task 3), and syllables per second (Task 4). Interrater reliability and test–retest reliability were analyzed using subgroups of the normative sample and studied by estimating intraclass correlation coefficients (ICCs). Construct validity was investigated by determining age-related changes of test results and factor analyses of the extracted speech measures. Results ICCs for interrater reliability ranged from sufficient to good, except for percentage of vowels correct of picture naming and nonword imitation and for the MRRs for bisyllabic and trisyllabic items. The ICCs for test–retest reliability were sufficient (picture naming, nonword imitation) to insufficient (word and nonword repetition, MRR) due to larger-than-expected normal development and learning effects. Continuous norms showed developmental patterns for all CAI parameters. The factor analyses revealed 5 meaningful factors: all picture-naming parameters, the segmental parameters of nonword imitation, the syllabic structure parameters of nonword imitation, (non)word repetition consistency, and all MRR parameters. Conclusion Its overall sufficient to good psychometric properties indicate that the CAI is a reliable and valid instrument for the assessment of typical and delayed speech development in Dutch children in the ages of 2–7 years.

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confidence: 99%

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confidence: 99%

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The Psychometric Evaluation of a Speech Production Test Battery for Children: The Reliability and Validity of the Computer Articulation Instrument

Haaften

Diepeveen

Engel-Hoek

et al. 2019

J Speech Lang Hear Res

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“…They also found no correlation between MRR-Mono and NWI, whereas an alternate MRR task (such as MRR-BiTri) correlated significantly with NWI. From the perspective of a process-oriented approach, Maassen and Terband (2015) argued that MRR, being a pure motor task that does not require any knowledge of words, syllables, or phonemes, can be used to assess speech motor skills. Still, like PWV, mean MRR-Mono factor scores are below the population average and thus, like PWV, might serve as a diagnostic marker for SSDs.…”

Section: Discussionmentioning

confidence: 99%

Profiling Speech Sound Disorders for Clinical Validation of the Computer Articulation Instrument

Haaften

Diepeveen

Terband

et al. 2019

Am J Speech Lang Pathol

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“…The high overlap in symptomatology necessitates an approach that aims at describing the development of processing deficits to characterize disorders rather than focusing on single diagnostic markers for differential diagnosis. It has been argued that such a process-oriented approach holds important advantages for the diagnosis and treatment of pediatric speech disorders (Terband & Maassen, 2012; Terband, 2013; Maassen & Terband, in press). Offering direct leads for treatment aimed at the specific underlying impairment, a process-oriented approach allows a treatment planning tailored to the specific needs of the individual and provides a better starting point to evaluate and adjust the therapeutic approach in the course of the speech disorder.…”

Section: Discussionmentioning

confidence: 99%

Auditory–motor interactions in pediatric motor speech disorders: Neurocomputational modeling of disordered development

Terband¹,

Maassen²,

Guenther³

et al. 2014

Journal of Communication Disorders

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Background/Purpose Differentiating the symptom complex due to phonological-level disorders, speech delay and pediatric motor speech disorders is a controversial issue in the field of pediatric speech and language pathology. The present study investigated the developmental interaction between neurological deficits in auditory and motor processes using computational modeling with the DIVA model. Method In a series of computer simulations, we investigated the effect of a motor processing deficit alone (MPD), and the effect of a motor processing deficit in combination with an auditory processing deficit (MPD+APD) on the trajectory and endpoint of speech motor development in the DIVA model. Results Simulation results showed that a motor programming deficit predominantly leads to deterioration on the phonological level (phonemic mappings) when auditory self-monitoring is intact, and on the systemic level (systemic mapping) if auditory self-monitoring is impaired. Conclusions These findings suggest a close relation between quality of auditory self-monitoring and the involvement of phonological vs. motor processes in children with pediatric motor speech disorders. It is suggested that MPD+APD might be involved in typically apraxic speech output disorders and MPD in pediatric motor speech disorders that also have a phonological component. Possibilities to verify these hypotheses using empirical data collected from human subjects are discussed.

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Process‐Oriented Diagnosis of Childhood and Adult Apraxia of Speech (CAS and AOS)

Cited by 12 publications

References 43 publications

The Psychometric Evaluation of a Speech Production Test Battery for Children: The Reliability and Validity of the Computer Articulation Instrument

The Psychometric Evaluation of a Speech Production Test Battery for Children: The Reliability and Validity of the Computer Articulation Instrument

Profiling Speech Sound Disorders for Clinical Validation of the Computer Articulation Instrument

Auditory–motor interactions in pediatric motor speech disorders: Neurocomputational modeling of disordered development

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