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Exploring Bidirectional Associations Between Voice Acoustics and Objective Motor Metrics in Parkinson's Disease
Anna Carolyna Gianlorenço1,2, Paulo Eduardo Portes Teixeira3, Valton Costa1,2
1Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital, Mass General Brigham, Harvard Medical School, 1575 Cambridge Street, Cambridge, MA 02138, USA.
Parkinson's disease (PD) voice and motor functions are linked, with clearer speech associated with better motor performance. These findings suggest shared neural control and support multimodal assessments for future Parkinson's research.
Area of Science:
- Neuroscience
- Speech-Language Pathology
- Movement Disorders
Background:
- Speech and motor control share neural pathways, but their interplay in Parkinson's disease (PD) is not fully understood.
- Quantitative relationships between vocal and motor impairments in PD require further investigation.
Purpose of the Study:
- To investigate bidirectional associations between acoustic voice features and objective motor metrics in individuals with PD.
- To explore the shared sensorimotor control mechanisms underlying voice and motor function in PD.
Main Methods:
- Analysis of baseline data from 13 participants in a randomized neuromodulation trial for PD.
- Objective motor performance assessment using an Integrated Motion Analysis Suite (IMAS) for balance, gait, and limb tasks.
- Acoustic voice analysis including harmonic-to-noise ratio (HNR), jitter, shimmer, fundamental frequency (F0), and intensity.
Main Results:
- Faster motor performance and shorter movement durations correlated with clearer voice features (e.g., higher HNR).
- Clearer voice measures were associated with faster movement speeds and shorter movement durations.
- Significant bidirectional associations were observed between voice and motor measures in PD.
Conclusions:
- Voice and motor impairments in PD exhibit significant bidirectional relationships, indicating shared sensorimotor control.
- These findings support the use of integrated multimodal assessments for future longitudinal studies in PD.
- The study highlights the potential for voice analysis as a non-invasive marker for motor control deficits in PD.
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