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Effects of Neuroacoustic Stimulation on Two Study Cases of Parkinson’s Disease Dysarthria

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Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications (IWINAC 2022)

Abstract

The first prevailing Neuromotor Disorder (ND) is Parkinson’s Disease (PD) with steadily increasing incidence rates, lacking a definitive cure. Nevertheless, dopaminergic medication and rehabilitation may improve the living conditions of people affected by PD. Neuroacoustical stimulation is a non-invasive, which may improve some motor symptoms associated to PD, as Hypokinetic Dysartrhia (HD). The aim of this research is to extend previous findings in phonation features before and after neuroacoustical binaural stimulation using two-tone combinations. The study evaluated two study cases (one male and one female) from a database collected on smartphone terminals, consisting in utterances of sequences of vowels peripheral to the vowel triangle. The longitudinal evolution of the participants under an ongoing weekly neuroacoustical stimulation stood on the energy and F0 profiles, the Vowel Space Area, Formant Centralization Ratio, Vowel Articulation Index, and Dynamic Formant Spans. The two cases comprised four recordings, and the comparisons were referred to the first recording. The results reported mixed behavior on the traits studied. The male case showed improvements with respect to phonation quality and tremor, whereas the female case showed improvements with respect to vowel space features, energy and fundamental frequency dispersion.

This research received funding from grants TEC2016-77791-C4-4-R (Ministry of Economic Affairs and Competitiveness of Spain), and Teca-Park-MonParLoc FGCSIC-CENIE 0348-CIE-6-E (InterReg Programme).

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References

  1. Tysnes, O.-B., Storstein, A.: Epidemiology of Parkinson’s disease. J. Neural Transmission 124(8), 901–905 (2017). https://doi.org/10.1007/s00702-017-1686-y

    Article  Google Scholar 

  2. Duffy, J.R.: Motor Speech Disorders: Substrates, Differential Diagnosis, and Management, 3rd edn., Elsevier (2013)

    Google Scholar 

  3. Hlavnička, J., Čmejla, R., Tykalová, T., Šonka, K., Růžička, E., Rusz, J.: Automated analysis of connected speech reveals early biomarkers of Parkinson’s disease in patients with rapid eye movement sleep behaviour disorder. Sci. Rep. 7(1), 1–13 (2017). https://doi.org/10.1038/s41598-017-00047-5

    Article  CAS  Google Scholar 

  4. Gálvez, G., Recuero, M., Canuet, L., Del-Pozo, F.: Short-term effects of binaural beats on EEG power, functional connectivity, cognition, gait and anxiety in Parkinson’s disease. Int. J. Neural Syst. 28(5), 1750055 (2018). https://doi.org/10.1142/S0129065717500551

  5. Gálvez-García, G., Gómez-Rodellar, A., Palacios-Alonso, D., de Arcas-Castro, G., Gómez-Vilda, P.: Neuroacoustical stimulation of Parkinson’s disease patients: a case study. In: Ferrández Vicente, J.M., Álvarez-Sánchez, J.R., de la Paz López, F., Toledo Moreo, J., Adeli, H. (eds.) IWINAC 2019. LNCS, vol. 11487, pp. 329–339. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-19651-6_32

  6. Gálvez, G., Gómez, A., Palacios, D.: Temporal reversion of phonation instability in Parkinson’s disease by neuroacoustical stimulation. In Models and Analysis of Vocal Emissions for Biomedical Applications, MAVEBA 11th Int. Workshop, Firenze University Press, pp. 21–24 (2019)

    Google Scholar 

  7. Hink, R.F., Kodera, K., Yamada, O., Kaga, K., Suzuki, J.: Binaural interaction of a beating frequency-following response. Audiology 19(1), 36–43 (1980). https://doi.org/10.3109/00206098009072647

    Article  CAS  PubMed  Google Scholar 

  8. Oster, G.: Auditory beats in the brain. Sci. Am. 229(4), 94–102 (1973)

    Article  CAS  Google Scholar 

  9. Palacios, D., Meléndez, G., López, A., Lázaro, C., Gómez, A., Gómez, P.: MonParLoc: a speech-based system for Parkinson’s disease analysis and monitoring. IEEE Access 8, 188243–188255 (2020). https://doi.org/10.1109/ACCESS.2020.3031646

  10. Kent, R., Kim, Y.: Toward an acoustic typology of motor speech disorders. Clin. Linguistics Phonetics 17, 427–445 (2003). https://doi.org/10.1080/0269920031000086248

    Article  Google Scholar 

  11. Sapir, S., Ramig, L.O., Spielman, J.L., Cynthia Fox, C.: Formant centralization ratio: a proposal for a new acoustic measure of dysarthric speech. J. Speech, Lang. Hearing Res. 53(1), 114–125 (2010). https://doi.org/10.1044/1092-4388(2009/08-0184)

  12. Skodda, S., Visser, W., Schlegel, U.: Vowel articulation in Parkinson’s disease. J. Voice 25(4), 467–472 (2011). https://doi.org/10.1016/j.jvoice.2010.01.009

    Article  PubMed  Google Scholar 

  13. Gómez, A., Tsanas, A., Gómez, P., Palacios-Alonso, D., Rodellar, V., Álvarez, A.: Acoustic to kinematic projection in Parkinson’s Disease Dysarthria. Biomed. Signal Process. Control 66 (2021). https://doi.org/10.1016/j.bspc.2021.102422

  14. Gómez, P., Gómez, A., Palacios, D., Tsanas, A.: Performance of Monosyllabic vs Multisyllabic Diadochokinetic exercises in evaluating Parkinson’s Disease Hypokinetic Dysarthria from fluency distributions. Proc. BIOSTEC 2021(4), 114–123 (2021). https://doi.org/10.5220/0010380301140123

  15. Tsanas, A., Zañartu, M., Little, M.A., Fox, C., Ramig, L.O., Clifford, G.D.: Robust fundamental frequency estimation in sustained vowels: detailed algorithmic comparisons and information fusion with adaptive Kalman filtering. J. Acoustical Soc. Am. 135(5), 2885–2901 (2014). https://doi.org/10.1121/1.4870484

  16. Qi, Y., Hillman, R.E.: Temporal and spectral estimations of harmonics-to-noise ratio in human voice signals. J. Acoustical Soc. Am. 102, 537 (1997) https://doi.org/10.1121/1.419726

  17. Heman-Ackah, Y.D., Michael, D.D., Jr Goding, G.S.: The relationship between cepstral peak prominence and selected parameters of dysphonia. J. Voice 16(1), 20–27 (2002). https://doi.org/10.1016/S0892-1997(02)00067-X

  18. Gómez-Vilda, P., et al.: Parkinson’s disease monitoring from phonation biomechanics. In: Ferrández Vicente, J.M., Álvarez-Sánchez, J.R., de la Paz López, F., Toledo-Moreo, F.J., Adeli, H. (eds.) IWINAC 2015. LNCS, vol. 9107, pp. 238–248. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-18914-7_25

  19. Staude, G.H.: Precise onset detection of human motor responses using a whitening filter and the log-likelihood-ratio test. IEEE Trans. Biomed. Eng. 48(11), 1292–1305 (2001). https://doi.org/10.1109/10.959325

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Correspondence to Pedro Gómez-Vilda .

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Gómez-Vilda, P., Gómez-Rodellar, A., Palacios-Alonso, D., Álvarez-Marquina, A. (2022). Effects of Neuroacoustic Stimulation on Two Study Cases of Parkinson’s Disease Dysarthria. In: Ferrández Vicente, J.M., Álvarez-Sánchez, J.R., de la Paz López, F., Adeli, H. (eds) Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications. IWINAC 2022. Lecture Notes in Computer Science, vol 13258. Springer, Cham. https://doi.org/10.1007/978-3-031-06242-1_21

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  • DOI: https://doi.org/10.1007/978-3-031-06242-1_21

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