Differential Diagnosis Between Parkinson's Disease and Multiple System Atrophy Using Digital Speech Analysis
NCT ID: NCT03577483
Last Updated: 2022-11-28
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
68 participants
INTERVENTIONAL
2018-06-26
2021-06-18
Brief Summary
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Detailed Description
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The team will build a corpus of voice samples of patients with both diseases and a recent diagnosis (less than 4 years) and controls. This corpus will consist in sustained vowels, utterances of a standard text and spontaneous speech. The recordings will be performed using a high quality digital recorder (H4n) and the DIANA and EVA-2 workstations. DIANA is a state-of-the-art system dedicated to pathological voice recording and analysis.
An electroglottograph (EGG), a non-invasive device, will be also used in conjunction with the recordings to provide the ground truth of glottal opening and closure instants during utterances. The use of an EGG can be very useful given that OGI and GCI provide valuable information about the voice short-time dynamics.
Conditions
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Study Design
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NON_RANDOMIZED
PARALLEL
DIAGNOSTIC
NONE
Study Groups
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Parkinson's disease
Diagnosis of idiopathic Parkinson's disease (PD) according to criteria
voice recordings
A digital processing of voice recordings (from 30 to 45 minutes) will be performed for each participant, using a high quality digital recorder: the DIANA (computerized device of acoustic analysis) and the EVA-2 workstations (assisted Evaluation system Voice).
Multiple system atrophy
Diagnosis of Multiple Atrophy System (MSA) Parkinsonian form possible or probable according to Gilman et coll 's criteria (2008)
voice recordings
A digital processing of voice recordings (from 30 to 45 minutes) will be performed for each participant, using a high quality digital recorder: the DIANA (computerized device of acoustic analysis) and the EVA-2 workstations (assisted Evaluation system Voice).
Healthy volunteer
Absence of neurologic and oto-rhino-laryngologic disease
voice recordings
A digital processing of voice recordings (from 30 to 45 minutes) will be performed for each participant, using a high quality digital recorder: the DIANA (computerized device of acoustic analysis) and the EVA-2 workstations (assisted Evaluation system Voice).
Interventions
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voice recordings
A digital processing of voice recordings (from 30 to 45 minutes) will be performed for each participant, using a high quality digital recorder: the DIANA (computerized device of acoustic analysis) and the EVA-2 workstations (assisted Evaluation system Voice).
Eligibility Criteria
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Inclusion Criteria
* Diagnosis of idiopathic Parkinson's disease (PD) according to criteria (Hughes et coll., 1992)
* Patient in early stage of PD : Hoehn\&Yahr stage between 1 and 2, and the onset of symptoms ≤ 4 years
* Patient with or without mild to moderate speech troubles: UPDRS III item 18 ≤ 2
* Patients with MSA-P (Parkinsonian form) :
* Diagnosis of Multiple Atrophy System (MSA) Parkinsonian form possible or probable according to Gilman et coll 's criteria (2008)
* Patient in early stage of MSA-P: score of part IV of the UMSARS (Unified Multiple System Atrophy Rating Scale) ≤ 3 points and the onset of symptoms ≤ 4 years
* Patient with or without mild to moderate speech troubles: UMSARS II item 2 ≤ 2
* Controls :
* Absence of neurologic and oto-rhino-laryngologic disease
Exclusion Criteria
* Patient with speech troubles which are not related to the MSA or PD
* Person under safeguard justice, guardianship
30 Years
80 Years
ALL
Yes
Sponsors
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Institut National de Recherche en Informatique et en Automatique
OTHER
University Hospital, Bordeaux
OTHER
Responsible Party
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Principal Investigators
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Wassilios MEISSNER, MD,PhD
Role: PRINCIPAL_INVESTIGATOR
University Hospital, Bordeaux
Khalid DAOUDI, PhD
Role: STUDY_CHAIR
Institut National de Recherche en Informatique et en Automatique
Locations
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Centre Hospitalier Universitaire de Bordeaux
Bordeaux, , France
Centre Hospitalier Universitaire de Toulouse
Toulouse, , France
Countries
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Other Identifiers
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CHUBX 2016/21
Identifier Type: -
Identifier Source: org_study_id
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