Literature DB >> 34543846

The effects of a simulated fMRI environment on voice intensity in individuals with Parkinson's disease hypophonia and older healthy adults.

Jordan L Manes1, Ellen Herschel2, Katharine Aveni3, Kris Tjaden4, Todd Parrish5, Tanya Simuni6, Daniel M Corcos7, Angela C Roberts3.   

Abstract

PURPOSE: Functional magnetic resonance imaging (fMRI) has promise for understanding neural mechanisms of neurogenic speech and voice disorders. However, performing vocal tasks within the fMRI environment may not always be analogous to performance outside of the scanner. Using a mock MRI scanner, this study examines the effects of a simulated scanning environment on vowel intensity in individuals with Parkinson's disease (PD) and hypophonia and older healthy control (OHC) participants.
METHOD: Thirty participants (15 PD, 15 OHC) performed a sustained /ɑ/ vowel production task in three conditions: 1) Upright, 2) Mock Scanner + No Noise, and 3) Mock Scanner + MRI noise. We used a linear mixed-effects (multi-level) model to evaluate the contributions of group and recording environment to vowel intensity. A second linear mixed-effects model was also used to evaluate the contributions of PD medication state (On vs. Off) to voice intensity.
RESULTS: Vowel intensity was significantly lower for PD compared to the OHC group. The intensity of vowels produced in the Upright condition was significantly lower compared to the Mock Scanner + No Noise condition, while vowel intensity in the Mock Scanner + MRI Noise condition was significantly higher compared to the Mock Scanner + No Noise condition. A group by condition interaction also indicated that the addition of scanner noise had a greater impact on the PD group. A second analysis conducted within the PD group showed no effects of medication state on vowel intensity.
CONCLUSION: Our findings demonstrate that performance on voice production tasks is altered for PD and OHC groups when translated into the fMRI environment, even in the absence of acoustic scanner noise. For fMRI studies of voice in PD hypophonia, careful thought should be given to how the presence of acoustic noise may differentially affect PD and OHC, for both group and task comparisons.
Copyright © 2021. Published by Elsevier Inc.

Entities:  

Keywords:  Body position; Hypophonia; Lombard effect; Parkinson's disease; Voice; Voice intensity; fMRI

Mesh:

Year:  2021        PMID: 34543846      PMCID: PMC8627501          DOI: 10.1016/j.jcomdis.2021.106149

Source DB:  PubMed          Journal:  J Commun Disord        ISSN: 0021-9924            Impact factor:   2.288


  70 in total

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Authors:  Gail B Kempster; Bruce R Gerratt; Katherine Verdolini Abbott; Julie Barkmeier-Kraemer; Robert E Hillman
Journal:  Am J Speech Lang Pathol       Date:  2008-10-16       Impact factor: 2.408

Review 2.  Using the general linear mixed model to analyse unbalanced repeated measures and longitudinal data.

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Authors:  J C Junqua
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Authors:  M M Hoehn; M D Yahr
Journal:  Neurology       Date:  1967-05       Impact factor: 9.910

6.  Effects of central dopaminergic stimulation by apomorphine on speech in Parkinson's disease.

Authors:  K Kompoliti; Q E Wang; C G Goetz; S Leurgans; R Raman
Journal:  Neurology       Date:  2000-01-25       Impact factor: 9.910

7.  Perceptual Characterization of Voice Quality in Nonadvanced Stages of Parkinson's Disease.

Authors:  Zoë Thijs; Christopher R Watts
Journal:  J Voice       Date:  2020-07-20       Impact factor: 2.009

8.  Acoustic changes in the production of lexical stress during Lombard speech.

Authors:  Joanne Arciuli; Briony S Simpson; Adam P Vogel; Kirrie J Ballard
Journal:  Lang Speech       Date:  2014-06       Impact factor: 1.500

9.  Functional abnormalities in the primary orofacial sensorimotor cortex during speech in Parkinson's disease.

Authors:  Irena Rektorova; Jennifer Barrett; Michal Mikl; Ivan Rektor; Tomas Paus
Journal:  Mov Disord       Date:  2007-10-31       Impact factor: 10.338

10.  Speech and Voice Response to a Levodopa Challenge in Late-Stage Parkinson's Disease.

Authors:  Margherita Fabbri; Isabel Guimarães; Rita Cardoso; Miguel Coelho; Leonor Correia Guedes; Mario M Rosa; Catarina Godinho; Daisy Abreu; Nilza Gonçalves; Angelo Antonini; Joaquim J Ferreira
Journal:  Front Neurol       Date:  2017-08-22       Impact factor: 4.003

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