A Systematic Investigation of Phonetic Complexity Effects on Articulatory Motor Performance in Progressive Dysarthria
|The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Know the risks and potential benefits of clinical studies and talk to your health care provider before participating. Read our disclaimer for details.|
|ClinicalTrials.gov Identifier: NCT03613038|
Recruitment Status : Recruiting
First Posted : August 2, 2018
Last Update Posted : September 3, 2018
|Condition or disease||Intervention/treatment||Phase|
|Amyotrophic Lateral Sclerosis Parkinson Disease||Behavioral: Phonetic complexity effects on speech motor performance||Not Applicable|
|Study Type :||Interventional (Clinical Trial)|
|Estimated Enrollment :||150 participants|
|Intervention Model:||Single Group Assignment|
|Intervention Model Description:||Two groups of participants i.e., participants with ALS or PD and healthy controls will be asked to repeat sentences that have target words with varying phonetic complexity.|
|Masking:||None (Open Label)|
|Primary Purpose:||Basic Science|
|Official Title:||Understanding Communication and Cognitive Impairments in Neurodegenerative Disorders|
|Actual Study Start Date :||July 15, 2017|
|Estimated Primary Completion Date :||January 31, 2020|
|Estimated Study Completion Date :||July 14, 2020|
Phonetic complexity effects
Conduct a comprehensive kinematic assessment using state-of-the art 3D speech tracking technology on individuals with ALS and PD as well as healthy talkers to identify articulatory motor disturbances as a function of phonetic complexity and dysarthria severity. Phonetic complexity will be experimentally manipulated using the consonant and vowel complexity classification system proposed by Kent (1992) that takes into account the underlying articulatory motor adjustments required to produce various speech sounds.
Behavioral: Phonetic complexity effects on speech motor performance
Use of 3D electromagnetic articulography to examine phonetic complexity effects of single word stimuli at the articulatory kinematic level in talkers each with preclinical, mild, and moderate dysarthria, relative to healthy controls.
- Peak movement speed [ Time Frame: Up to 3 months after enrollment ]Peak speed (millimeters/second) for each articulatory marker is the maximum value of the first-order derivative of each marker's Euclidean distance time-history.
- Range of movement [ Time Frame: Up to 3 months after enrollment ]The convex hull represents the smallest convex set containing all the points in the 3D motion path.
- Duration [ Time Frame: Up to 3 months after enrollment ]Word duration (seconds) is the time between onset and offset of movement for each word.
- Spatiotemporal movement variability (STI) [ Time Frame: Up to 3 months after enrollment ]STI is the most widely used metric to capture movement pattern variability during speech. To determine STI, the pattern of articulatory movements and the variability of that pattern over several repetitions of an utterance are examined.
- Inter-articulator coordination [ Time Frame: Up to 3 months after enrollment ]Spatiotemporal coupling relations between articulators will be derived from vertical movements of the articulators using a covariance measure.
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT03613038
|Contact: Mili Kuruvilla-Dugdaleemail@example.com|
|United States, Kansas|
|University of Kansas Medical Center||Recruiting|
|Fairway, Kansas, United States, 66205|
|Contact: Mili Kuruvilla, PhD 573-882-2910 firstname.lastname@example.org|
|Principal Investigator: Richard Barohn, MD|
|United States, Missouri|
|University of Missouri-Columbia||Recruiting|
|Columbia, Missouri, United States, 65211|
|Contact: Mili Kuruvilla-Dugdale, PhD 573-882-2910 email@example.com|
|Principal Investigator: Mili Kuruvilla-Dugdale, PhD|
|Principal Investigator:||Mili Kuruvilla-Dugdale, PhD||University of Missouri-Columbia|