Testing hypotheses about the underlying deficit of Apraxia of Speech (AOS) 
through computational neural modelling with the DIVA model

Terband, Hayo; Rodd, Joe; Maas, Edwin

doi:10.1080/17549507.2019.1669711

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Testing hypotheses about the underlying deficit of Apraxia of Speech (AOS) through computational neural modelling with the DIVA model

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Rodd, Joe
Psychology of Language Department, MPI for Psycholinguistics, Max Planck Society;
Centre for Language Studies, Radboud University;
International Max Planck Research School for Language Sciences, MPI for Psycholinguistics, Max Planck Society;

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Citation

Terband, H., Rodd, J., & Maas, E. (2020). Testing hypotheses about the underlying deficit of Apraxia of Speech (AOS) through computational neural modelling with the DIVA model. International Journal of Speech-Language Pathology, 22(4), 475-486. doi:10.1080/17549507.2019.1669711.

Cite as: https://hdl.handle.net/21.11116/0000-0004-C256-0

Abstract

Purpose: A recent behavioural experiment featuring a noise masking paradigm suggests that Apraxia of Speech (AOS) reflects a disruption of feedforward control, whereas feedback control is spared and plays a more prominent role in achieving and maintaining segmental contrasts. The present study set out to validate the interpretation of AOS as a possible feedforward impairment using computational neural modelling with the DIVA (Directions Into Velocities of Articulators) model.

Method: In a series of computational simulations with the DIVA model featuring a noise-masking paradigm mimicking the behavioural experiment, we investigated the effect of a feedforward, feedback, feedforward + feedback, and an upper motor neuron dysarthria impairment on average vowel spacing and dispersion in the production of six/bVt/speech targets.

Result: The simulation results indicate that the output of the model with the simulated feedforward deficit resembled the group findings for the human speakers with AOS best.

Conclusion: These results provide support to the interpretation of the human observations, corroborating the notion that AOS can be conceptualised as a deficit in feedforward control.