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Updated: May 31, 2026

Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation
Published on: July 16, 2014
Digital voice analysis in patients with advanced Parkinson's disease undergoing deep brain stimulation therapy
María Angeles Mate1, Ignacio Cobeta, Félix Javier Jiménez-Jiménez
1Department of Otolaringology, Fundación Alcorcón University Hospital, Alcorcón, Madrid, Spain. mamateb@gmail.com
Introduction:
An acoustic analysis was conducted of the voice of 25 patients with Parkinson's disease (PD) subjected to deep brain stimulation (DBS) to assess the impact of therapy.
Materials And Methods:
We examined 25 patients with advanced PD under four different conditions: deprived of medical treatment, under medical treatment, and one week and one month after the implant of the DBS electrodes. At the four time points, the patients produced a sustained /a/ and a standard sentence in Spanish, and microphone and electroglottographic recordings were digitally analyzed using the Computerized Speech Lab program.
Results:
Waveform analysis of the sustained /a/ captured by the microphone indicated a higher fundamental frequency (F(0)) when the patients were under levodopa treatment. The frequency perturbation (jitter) decreased remarkably after the three treatments. Shimmer also fell, but differences were not significant.
Conclusions:
Nearly all acoustic analysis parameters during phonation of a sustained /a/ improved after DBS, but the factor that was most sensitive to the impact of both surgical and medical therapy was jitter.
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