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临床试验/NCT07403539
NCT07403539招募中不适用

Relationship Between Speech Perceptual Learning and Speech Production in Parkinson's Disease

State University of New York at Buffalo1 个研究点 分布在 1 个国家目标入组 50 人开始时间: 2026年1月27日最近更新:
适应症
干预措施

试验速览

阶段
不适用
状态
招募中
入组人数
50
试验地点
1
主要终点
Mean dB SPL

研究概览

简要总结

Parkinson's disease, a common movement disorder that results from a breakdown in the brain, often leads to challenges with talking, but less is known about the relationship between difficulties with talking and difficulties with learning to understand speech. By linking these two abilities in individuals with Parkinson's disease using a precision medicine approach, this project seeks to build a basis for new therapies that help people with Parkinson's disease both understand better and speak more clearly.

详细描述

In the context of speech-language therapy, Parkinson's disease (PD) is typically associated with its consequences on speech production. Interventions generally focus on learning or relearning skills to accomplish successful production. However, the disease itself, as well as patient responses to interventions, are variable. Individuals differ widely in how typical their speech output is before intervention and in how much they learn from treatment. One plausible explanation for this variation comes from a less-studied aspect of speech and language in PD: speech perception, especially speech perceptual learning. There is a key gap in the PD literature about whether people who produce atypical rate and intensity properties in their own speech also find it more difficult to learn rate and intensity properties from others' speech. There is, therefore, a critical need for a full understanding of the relationship between speech production and speech perceptual learning in PD. The long- term goal of this research program is to systematically interrogate the relationship between speech learning and production in people with PD and to leverage that knowledge to promote effective communication. The overall objective of this project is to use acoustic measures to determine how challenges with speech perception or learning can predict individual differences in speech production. The central hypothesis is that individual differences between people with PD in speech perception or learning can predict individual differences between people with PD in speech production. This project adopts an individual differences approach to investigate two major aims: (1) relating individual differences in the perceptual learning of speech rate to the production of speech rate, and (2) relating individual differences in the perceptual learning of intensity to the production of intensity. To investigate these aims, each participant will record a speech sample and conduct tasks that involve learning regularities in rate or intensity in the speech of others. Participants will also complete tasks that require the ability to distinguish between sentences based on their rate and intensity. Participants' speech samples will additionally be judged by naive listeners to assess the samples' intelligibility and the effort that it takes to understand the speakers. If individual differences in perceptual learning predict individual differences in production, then differences in speech perception may predict differences in speech-language therapy outcomes that could be targeted to patient needs. A precision medicine approach would allow for interventions that titrate the amount, level, and type of intervention on an individualized basis to make sure that treatments are focused on participants who will respond to them in dosages that they will benefit from. For instance, a therapist could provide speech perception training to accelerate outcomes of production-related treatments. Furthermore, by applying more naturalistic measures of speech perception to this population, especially ones that rely on participants to change over the course of a session, this project provides an innovative opportunity to examine the sensory and perceptual consequences of PD and to link those to better-documented motor outcomes

研究设计

研究类型
Interventional
分配方式
Na
干预模型
Single Group
主要目的
Basic Science
盲法
None

入排标准

年龄范围
45 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Diagnosis of Parkinson's disease
  • Native speaker of North American English
  • Use a drug that includes levodopa
  • Resident of the United States

排除标准

  • Any history of language, hearing or speech disorder outside of Parkinson's disease
  • Other gross neurological impairment such as Alzheimer's disease or stroke
  • Significant hearing loss and/or use of a hearing aid or cochlear implant

研究组 & 干预措施

Learning and Discrimination

Experimental

Behavioral interventions will be administered, including speech intensity learning, speech intensity discrimination, speech rate learning, and speech rate discrimination

干预措施: Intensity learning (Behavioral)

Learning and Discrimination

Experimental

Behavioral interventions will be administered, including speech intensity learning, speech intensity discrimination, speech rate learning, and speech rate discrimination

干预措施: Intensity discrimination (Behavioral)

Learning and Discrimination

Experimental

Behavioral interventions will be administered, including speech intensity learning, speech intensity discrimination, speech rate learning, and speech rate discrimination

干预措施: Rate learning (Behavioral)

Learning and Discrimination

Experimental

Behavioral interventions will be administered, including speech intensity learning, speech intensity discrimination, speech rate learning, and speech rate discrimination

干预措施: Rate discrimination (Behavioral)

结局指标

主要结局

Mean dB SPL

时间窗: Day 1

The mean speech intensity (in dB SPL) will be assessed using a recording of spoken sentences and a spoken paragraph.

Standard deviation dB SPL

时间窗: Day 1

The standard deviation of participant's speech intensity (in dB SPL) will be assessed using a recording of spoken sentences and a spoken paragraph.

Speaking rate

时间窗: Day 1

The speaking rate (in syllables/second) will be assessed using a recording of spoken sentences and a spoken paragraph.

Articulation rate

时间窗: Day 1

The articulation rate (in syllables/second after removing pauses) will be assessed using a recording of spoken sentences and a spoken paragraph.

Unfilled pause time

时间窗: Day 1

The unfilled pause time (in seconds of pause) will be assessed using a recording of spoken sentences and a spoken paragraph.

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Mishaela DiNino

Assistant Professor

State University of New York at Buffalo

研究点 (1)

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