Testing hypotheses about the underlying deficit of apraxia of speech through computational neural modelling with the DIVA model

Hayo Terband; Joe Rodd; Edwin Maas

doi:10.1080/17549507.2019.1669711

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Testing hypotheses about the underlying deficit of apraxia of speech through computational neural modelling with the DIVA model

Journal article

Open access

Peer reviewed

Testing hypotheses about the underlying deficit of apraxia of speech through computational neural modelling with the DIVA model

Hayo Terband, Joe Rodd and Edwin Maas

International journal of speech language pathology, Vol.22(4), pp.475-486

07/03/2020

DOI: 10.1080/17549507.2019.1669711

PMID: 31630555

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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.

Audiology & Speech-Language Pathology

Life Sciences & Biomedicine

Linguistics

Rehabilitation

Science & Technology

Social Sciences

Details

Title: Subtitle: Testing hypotheses about the underlying deficit of apraxia of speech through computational neural modelling with the DIVA model
Creators: Hayo Terband - Utrecht University
Joe Rodd - Max Planck Society
Edwin Maas - Temple University
Resource Type: Journal article
Publication Details: International journal of speech language pathology, Vol.22(4), pp.475-486
DOI: 10.1080/17549507.2019.1669711
PMID: 31630555
NLM abbreviation: Int J Speech Lang Pathol
ISSN: 1754-9507
eISSN: 1754-9515
Publisher: TAYLOR & FRANCIS LTD
Number of pages: 1
Grant note: 275-89-016 / Netherlands Organisation for Scientific Research [NWO-VENI]
Language: English
Date published: 07/03/2020
Academic Unit: Communication Sciences and Disorders
Record Identifier: 9984258735202771

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