Sengupta Ranit, Shah Shalin, Gore Katie, Loucks Torrey, Nasir Sazzad M
Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, USA.
speech IRL, Chicago, IL, USA.
Neuropsychologia. 2016 Dec;93(Pt A):242-250. doi: 10.1016/j.neuropsychologia.2016.11.004. Epub 2016 Nov 8.
Despite advances in our understanding of the human speech system, the neurophysiological basis of stuttering remains largely unknown. Here, it is hypothesized that the speech of adults who stutter (AWS) is susceptible to disruptions in sensorimotor integration caused by neural miscommunication within the speech motor system. Human speech unfolds over rapid timescales and relies on a distributed system of brain regions working in a parallel and synchronized manner, and a breakdown in neural communication between the putative brain regions could increase susceptibility to dysfluency. Using a speech motor adaptation paradigm under altered auditory feedback with simultaneous recording of EEG, the oscillatory cortical dynamics was investigated in stuttering and fluent adults (FA). Auditory feedback perturbation involved the shifting of the formant frequencies of the target vowel sound. Reduced adaptation in response to the feedback error was observed in AWS and was accompanied by differences in EEG spectral powers and anomalies in phase coherence evolving over the course of speech motor training. It is understood that phase coherence possibly captures neural communication within speech motor networks. Thus, the phase coherence network of the two groups exhibited differences involving the EEG frequency bands. These findings in anomalous neural synchrony provide novel evidence for compromised neuronal communication at short time scales within the speech motor network of AWS.
尽管我们对人类言语系统的理解取得了进展,但口吃的神经生理学基础在很大程度上仍然未知。在此,有人提出假设,口吃成年人(AWS)的言语容易受到言语运动系统内神经通讯错误导致的感觉运动整合中断的影响。人类言语在快速的时间尺度上展开,依赖于以并行和同步方式工作的分布式脑区系统,并且假定脑区之间的神经通讯中断可能会增加言语不流畅的易感性。使用在改变听觉反馈的情况下的言语运动适应范式并同时记录脑电图(EEG),研究了口吃成年人和流利成年人(FA)的振荡性皮层动力学。听觉反馈扰动涉及目标元音的共振峰频率的偏移。在AWS中观察到对反馈误差的适应性降低,并且伴随着EEG频谱功率的差异以及在言语运动训练过程中相位相干性的异常变化。据了解,相位相干性可能反映了言语运动网络内的神经通讯。因此,两组的相位相干网络在EEG频段上表现出差异。这些关于异常神经同步的发现为AWS言语运动网络内短时间尺度上神经元通讯受损提供了新证据。