Parkinson Disease Clinical Trial
— SLAM-PDOfficial title:
Speech, Linguistic and Acoustic Markers in Parkinson's Disease
Verified date | May 2024 |
Source | University of Massachusetts, Worcester |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
The Investigators aim to identify speech and language markers that provide information on cognitive function and predict cognitive decline in Parkinson's disease. The Investigators will administer speech tasks and cognitive assessments to participants with Parkinson's disease and healthy controls. The Investigators will also explore the associations between genetic factors and speech and cognitive status in Parkinson's disease.
Status | Active, not recruiting |
Enrollment | 70 |
Est. completion date | February 2025 |
Est. primary completion date | September 1, 2023 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - Parkinson's Disease (or healthy control) - Disease duration = 2 years - Mild cognitive impairment or normal cognition Exclusion Criteria: - Diagnosis of dementia (MoCA <21) - Adults unable to consent - Age < 18 - Pregnant women - Prisoners - Non-English speakers - Any neurological disorder other than PD - Deep brain stimulator placement - Severe, unstable psychiatric disorder - Unintelligible speech due to effects of PD - Visual acuity or color vision impairment that would interfere with cognitive testing - Other voice, speech or swallowing disorders or history of surgery involving palate/nasopharynx/larynx/vocal cords |
Country | Name | City | State |
---|---|---|---|
United States | UMass Medical School/UMass Memorial Medical Center | Worcester | Massachusetts |
Lead Sponsor | Collaborator |
---|---|
University of Massachusetts, Worcester | Boston University, Massachusetts Institute of Technology, Lincoln Laboratories, National Institute on Deafness and Other Communication Disorders (NIDCD), VA Puget Sound Health Care System |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Detection of speech acoustic parameters that classify PD participants by cognitive status (mild cognitive impairment [MCI] vs. normal cognition) | Gaussian regression modeling and other machine learning techniques will be used to develop a model including fundamental frequency, noise-to-harmonic ratio, cepstral peak prominence, formants, phoneme-dependent speaking rates and diadochokinesis rate and quality to predict categorization of PD participants by disease and cognitive status. | 12-24 months | |
Primary | Duration and location of pauses during speech in PD participants with and without mild cognitive impairment | Participants will produce speech samples of spontaneous speech, which will be transcribed and coded for pause length and location, and these characteristics will be entered into a non-linear mixed model with the three-level predictor of group membership (control, PD-MCI, PD with normal cognition) as the parameter of interest. | 12-24 months | |
Primary | Syntax processing efficiency score (percentage correctly understood sentences/processing time) in controls, and in PD with and without MCI | When presented with sentences of varying syntactical complexity in a self-paced task, participants response time and accuracy will be used to create multilevel models and test for effect of group (controls, PD, PD-MCI). | 12-24 months |
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