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

Terband, H., Rodd, J., & Maas, E. (2019). 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. Advance online publication. doi:10.1080/17549507.2019.1669711.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0004-C256-0 Version Permalink: http://hdl.handle.net/21.11116/0000-0004-E2D9-8
Genre: Journal Article

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Terband_Rodd_Maas_2019_Testing hypotheses about the underlying deficit....pdf (Publisher version), 1023KB
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© 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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 Creators:
Terband, Hayo1, Author
Rodd, Joe2, 3, 4, Author              
Maas, Edwin5, Author
Affiliations:
1Utrecht Institute for Linguistics, Utrecht University, ou_persistent22              
2Psychology of Language Department, MPI for Psycholinguistics, Max Planck Society, ou_792545              
3Centre for Language Studies, Radboud University, ou_55238              
4International Max Planck Research School for Language Sciences, MPI for Psycholinguistics, Max Planck Society, Nijmegen, NL, ou_1119545              
5Department of Communication Sciences and Disorders, Temple University, ou_persistent22              

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 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.

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Language(s): eng - English
 Dates: 2019-09-162019-10-21
 Publication Status: Published online
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 Rev. Method: Peer
 Identifiers: DOI: 10.1080/17549507.2019.1669711
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Title: International Journal of Speech-Language Pathology. Advance online publication
Source Genre: Journal
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