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理解回声模仿:识别语音模仿的预测指标。

Understanding Echoics: Identifying Predictive Indicators of Vocal Imitation.

作者信息

Mason Lee, Bolds Alexis, Gavagan Maeve, Ninness Chris

机构信息

Child Study Center, Cook Children's Health Care System, 1300 W Lancaster Ave, Fort Worth, TX 76110 USA.

Burnett School of Medicine, Texas Christian University, Fort Worth, TX USA.

出版信息

Anal Verbal Behav. 2024 Dec 10;41(1):84-100. doi: 10.1007/s40616-024-00213-7. eCollection 2025 Jun.

Abstract

A growing body of literature supports the use of echoic prompts toward conditioning other functional language skills. However, many individuals with autism spectrum disorder do not emit echoic behavior. Identifying the prerequisite skills of an echoic repertoire may be beneficial for intervention planning and clinical decision making. A chart review was conducted for 118 patients with autism who received early intensive behavioral intervention. We examined the Level 1 scores on the (Sundberg, 2014) for all patients. Using their scores on the echoic skills subtest as a dependent variable, we ran a binomial logistic regression in which the remaining eight domains, along with age and sex, served as independent variables. Our logistic regression model was statistically significant: (10) = 109.61,  < .001. The model explained 86.0% of the variance in echoic verbal behavior and correctly classified 95.8% of cases. Patients who demonstrated a mand repertoire were greater than 3.5 times more likely to also exhibit an echoic repertoire. Additionally, vocal play and motor imitation were associated with an increased ability to echo. Using binomial logistic regression, we identified three predictors influencing the echoic behavior of children with autism. Patients who demonstrated these three skills were statistically significantly more likely to echo the vocal verbal behavior of others. Additional research is now needed to confirm a functional relationship between each of these predictors and echoic control.

摘要

越来越多的文献支持使用模仿提示来培养其他功能性语言技能。然而,许多自闭症谱系障碍患者并不会表现出模仿行为。确定模仿技能库的先决技能可能有助于干预计划制定和临床决策。对118名接受早期密集行为干预的自闭症患者进行了病历回顾。我们检查了所有患者在(桑德伯格,2014年)上的1级分数。以他们在模仿技能子测试中的分数作为因变量,我们进行了二项逻辑回归分析,其中其余八个领域以及年龄和性别作为自变量。我们的逻辑回归模型具有统计学意义:(10)=109.61,<0.001。该模型解释了模仿言语行为中86.0%的方差,并正确分类了95.8%的病例。表现出要求技能库的患者表现出模仿技能库的可能性要高出3.5倍以上。此外,发声游戏和动作模仿与模仿能力的提高有关。通过二项逻辑回归分析,我们确定了影响自闭症儿童模仿行为的三个预测因素。表现出这三种技能的患者在统计学上更有可能模仿他人的言语行为。现在需要进一步的研究来证实这些预测因素与模仿控制之间的功能关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61a4/12283487/97d6fd3c470f/40616_2024_213_Fig2_HTML.jpg

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