Skip to main content
SpringerLink
Log in

Evaluation of TMS Effects on the Phonation of Parkinson’s Disease Patients

  • Conference paper
  • First Online:
Book cover Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications (IWINAC 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13258))

Abstract

Repetitive Transcranial Magnetic Stimulation (rTMS) is a non-invasive technique which is known to produce modifications in cortical brain activity. This paper is devoted to describe potential beneficial effects of rTMS on the phonation stability of Parkinson’s Disease Patients (PDPs). To this end, several measurements derived from phonation have been studied. The stability of phonation is evaluated on sustained emisions of certain open vowels, as [a:]. Using vocal tract inversion, a correlate of the glottal source (pressure on the supraglottal rim of the vocal folds) is estimated from vowel emissions. The glottal source power spectral density is used to indirectly estimate the biomechanical tension of the vocal folds. The neuromotor instabilities experienced by PDPs, affecting the vocal fold tension are used as perturbation features related to tremor bands. A longitudinal analysis of the features from an active rTMS case can be compared in different time laps after rTMS, and tested against those from a similar study on a sham rTMS case. Relevant improvements on phonation stability may be appreciated on the active rTMS case compared to the sham one, which are reflected on several features as biomechanical tremor bands. These results open a new non-invasive, costless and remote methodology for PD functional neuromotor evaluation.

This research received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement no. 734718 (CoBeN) and from a grant from the Czech Ministry of Health, 16-30805A, and 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).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

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

    Article  PubMed  Google Scholar 

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

    Google Scholar 

  3. Brabenec, L., Klobusiakova, P., Simko, P., Kostalova, M., Mekyska, J., Rektorova, I.: Non-invasive brain stimulation for speech in Parkinson’s disease: a randomized controlled trial. Brain Stimul. 14, 571–578 (2021). https://doi.org/10.1016/j.brs.2021.03.010

    Article  PubMed  Google Scholar 

  4. Hallett, M.: Transcranial magnetic stimulation: a primer. Neuron 55(2), 187–199 (2007). https://doi.org/10.1016/j.neuron.2007.06.026

    Article  CAS  PubMed  Google Scholar 

  5. Titze, I.: Nonlinear source-filter coupling in phonation: theory. J. Acoust. Soc. Am. 123, 2733–2749 (2008). https://doi.org/10.1121/1.2832337

    Article  PubMed  PubMed Central  Google Scholar 

  6. Alku, P., et al.: OPENGLOT-an open environment for the evaluation of glottal inverse filtering. Speech Commun. 107, 38–47 (2019). https://doi.org/10.1016/j.specom.2019.01.005

    Article  Google Scholar 

  7. Gómez, P., et al.: Glottal Source biometrical signature for voice pathology detection. Speech Commun. 51, 759–781 (2009). https://doi.org/10.1016/j.specom.2008.09.005

    Article  Google Scholar 

  8. Titze, I.R.: Theoretical analysis of maximum flow declination rate versus maximum area declination rate in phonation. J. Speech Lang. Hear. Res. 49, 439–447 (2006). https://doi.org/10.1044/1092-4388(2006/034)

    Article  PubMed  Google Scholar 

  9. Mekyska, J., et al.: Robust and complex approach of pathological speech signal analysis. Neurocomputing 167, 94–111 (2015). https://doi.org/10.1016/j.neucom.2015.02.085

    Article  Google Scholar 

  10. Connor, R., Cardillo, F.A., Moss, R., Rabitti, F.: Evaluation of Jensen-Shannon distance over sparse data. In: Brisaboa, N., Pedreira, O., Zezula, P. (eds.) SISAP 2013. LNCS, vol. 8199, pp. 163–168. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-41062-8_16

    Chapter  Google Scholar 

  11. Ramig, L.O., Fox, C., Sapir, S.: Speech treatment for Parkinson’s disease. Expert Rev. Neurother. 8, 297–309 (2008). https://doi.org/10.1586/14737175.8.2.297

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Usher Institute, Faculty of Medicine, University of Edinburgh, Edinburgh, UK

    Andrés Gómez-Rodellar

  2. Department of Telecommunications, Brno University of Technology, Brno, Czech Republic

    Jiri Mekyska

  3. NeuSpeLab, CTB, Universidad Politécnica de Madrid, 28220, Pozuelo de Alarcón, Madrid, Spain

    Pedro Gómez-Vilda

  4. Applied Neuroscience Research Group, Central European Institute of Technology - CEITEC, Masaryk University, Brno, Czech Republic

    Lubos Brabenec, Patrik Simko & Irena Rektorova

  5. First Department of Neurology, Faculty of Medicine and St. Anne’s University Hospital, Masaryk University, Brno, Czech Republic

    Irena Rektorova

Authors
  1. Andrés Gómez-Rodellar
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jiri Mekyska
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Pedro Gómez-Vilda
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Lubos Brabenec
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Patrik Simko
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Irena Rektorova
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Pedro Gómez-Vilda .

Editor information

Editors and Affiliations

  1. Universidad Politécnica de Cartagena, Cartagena, Spain

    José Manuel Ferrández Vicente

  2. Universidad Nacional de Educación a Distancia, Madrid, Spain

    José Ramón Álvarez-Sánchez

  3. Universidad Nacional de Educación a Distancia, Madrid, Spain

    Félix de la Paz López

  4. Ohio State University, Columbus, OH, USA

    Hojjat Adeli

Rights and permissions

Reprints and permissions

Copyright information

© 2022 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Gómez-Rodellar, A., Mekyska, J., Gómez-Vilda, P., Brabenec, L., Simko, P., Rektorova, I. (2022). Evaluation of TMS Effects on the Phonation of Parkinson’s Disease Patients. 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_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-06242-1_20

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06241-4

  • Online ISBN: 978-3-031-06242-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation