Louisiana State University, Baton Rouge.
J Speech Lang Hear Res. 2021 Sep 14;64(9):3382-3397. doi: 10.1044/2021_JSLHR-20-00739. Epub 2021 Aug 17.
Purpose Adults who stutter (AWS) often attempt, with varying degrees of success, to suppress their stuttered speech. The ability to effectively suppress motoric behavior after initiation relies on executive functions such as nonselective inhibition. Although previous studies found that AWS were slower to inhibit manual, button-press response than adults who do not stutter (AWNS), research has yet to confirm a consistent relationship between manual and verbal inhibition. No study has examined verbal inhibition ability in AWS. The purpose of this study, therefore, is to compare verbal response inhibition between AWS and AWNS, and compare verbal response inhibition to both the overt stuttering and the lived experience of stuttering. Method Thirty-four adults (17 AWNS, 17 AWS) completed one manual and three verbal stop-signal tasks. AWS were assessed for stuttering severity (Stuttering Severity Instrument-Fourth Edition: SSI-4) and experience with stuttering (Overall Assessment of the Speaker's Experience With Stuttering [OASES]). Results Results indicate no correlation between manual and verbal inhibition for either group. Generalized linear mixed-model analyses suggested no significant group differences in manual or verbal inhibition. Manual and verbal inhibition did not predict SSI-4 in AWS. However, verbal inhibition was uniquely associated with OASES scores. Conclusion Although underlying manual and verbal inhibition was comparable between AWS and AWNS, verbal inhibition may be linked to the adverse experience of stuttering rather than the overt symptoms of stuttering severity. Supplemental Material https://doi.org/10.23641/asha.15145185.
口吃的成年人(AWS)通常会尝试以不同程度的成功来抑制他们的口吃言语。在启动后有效抑制运动行为的能力依赖于执行功能,如非选择性抑制。尽管先前的研究发现,AWS 抑制手动、按钮按压反应的速度比不口吃的成年人(AWNS)慢,但研究尚未证实手动和言语抑制之间存在一致的关系。没有研究检查过 AWS 的言语抑制能力。因此,本研究的目的是比较 AWS 和 AWNS 之间的言语反应抑制,并将言语反应抑制与明显的口吃和口吃的生活经历进行比较。
34 名成年人(17 名 AWNS,17 名 AWS)完成了一项手动和三项言语停止信号任务。AWS 评估了口吃严重程度(口吃严重程度第四版量表:SSI-4)和口吃经历(口吃者体验总体评估量表 [OASES])。
结果表明,两组的手动和言语抑制之间均无相关性。广义线性混合模型分析表明,手动和言语抑制在两组之间均无显著差异。手动和言语抑制均不能预测 AWS 的 SSI-4。然而,言语抑制与 OASES 得分存在独特的关联。
尽管 AWS 和 AWNS 之间的潜在手动和言语抑制相似,但言语抑制可能与口吃的不良体验有关,而不是与明显的口吃严重程度症状有关。