Detecting Parkinson's Disease Through Speech Analysis



Status:Active, not recruiting
Conditions:Parkinsons Disease, Psychiatric
Therapuetic Areas:Neurology, Psychiatry / Psychology
Healthy:No
Age Range:50 - 80
Updated:7/20/2018
Start Date:April 1, 2017
End Date:September 30, 2019

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Automatic Acoustic Speech Analysis and REM Sleep Behaviour Disorder for Detecting Subjects at High Risk for Parkinson's Disease and Other Alpha-synucleinopathies

Speech is an important indicator of motor function and movement coordination and can be
extremely sensitive to involvement in the course of neurologic diseases. The aim of this
project is to discover for the first time using simple speech recording and high end pattern
analysis preclinical stages of disabling central nervous system disorders including
Parkinson's disease and other alpha-synucleinopathies in "at high risk" patients with REM
sleep behavior disorder and thus provide one essential prerequisite for trials on REM sleep
behavior disorder with preventive therapy.

Seven centers of excellence in sleep research will investigate speech and other clinical
symptoms in more than 100 subjects with REM sleep behavior disorder. Analyses of a number of
unique speech dimensions based upon three fundamental categories of simple speaking tasks
will be used to search for specific prodromal alterations in speech patterns in REM sleep
behavior disorder, compared to age- and gender-matched patients with early Parkinson's
disease and healthy control subjects. Robust algorithms allowing automated speech analysis
will be developed and optimized through English, German, French, Czech and Italian languages.
Early motor dysfunction strongly predicts Parkinson's disease and other
alpha-synucleinopathies. In this regard, vocal assessment has intriguing potential advances
as is non-invasive, inexpensive, simple to administer and scalable to large population with
possibility to perform recordings remotely, even by telephone from patients' home. Speech
analysis may serve as a simple tool to screen large populations for the risk to develop
Parkinson's disease. If speech impairment appears to be a strong biomarker of early motor
dysfunction, the screening of speech changes may improve stratification for future
neuroprotective therapies for Parkinson's disease and other synucleinopathies.

Inclusion Criteria for subjects with Parkinson's disease (PD):

- Diagnosed based on the MDS Clinical Diagnostic Criteria for Parkinson's Disease
including the presence of bradykinesia in combination with either rest tremor,
rigidity, or both;

- Hoehn & Yahr stage 1-2 in the defined OFF state;

- Disease duration from diagnosis < 5 years;

- No motor fluctuations or dyskinesias;

- On stable dose of medication in last four weeks;

- Onset of PD after 50 years;

- No history of communication or neurological disorders unrelated to PD;

- Not currently involved in any speech therapy;

Inclusion Criteria for subjects with REM Sleep Behaviour Disorder (RBD):

- Fulfill criteria for RBD based on polysomnography according to the standard
International Classification of Sleep Disorders diagnostic criteria, 3rd edition;

- Onset of RBD after 50 years;

- No history of communication or neurological disorders.

Inclusion Criteria for healthy control subjects:

- No history of communication or neurological disorders, parasomnias and other sleep
disorders with important severity;

- No regular benzodiazepines, hypnotics and melatonin intake.

Exclusion criteria:

(for all the arms) Inability to speak and read a text aloud.
We found this trial at
2
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Innsbruck,
Phone: 51250423811
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Innsbruck,
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Rochester, Minnesota 55905
Phone: 507-266-6627
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Rochester, MN
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