Sensory-motor networks involved in speech production and motor control: an fMRI study.
Sensory-motor networks involved in speech production and motor control: an fMRI study.
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DOI：
10.1016/j.neuroimage.2015.01.040
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发表时间：
2015-04-01
期刊：
影响因子：
5.7
通讯作者：
Greenlee JD
中科院分区：
文献类型：
--
作者：
Behroozmand R;Shebek R;Hansen DR;Oya H;Robin DA;Howard MA 3rd;Greenlee JD
说话是人类为促进交流而发展的最复杂的运动行为之一。语音的潜在神经机制包括感觉-运动相互作用，其中包含在线监测和控制语音产生的反馈信息。在本研究中，我们采用了听觉反馈的音调扰动范式，并将其与功能性磁共振成像（fMRI）记录相结合，以识别涉及语言产生和运动控制的大脑区域。受试者在发出稳定的元音/a/（说话）或听自己发出元音的回放（回放）的同时接受fMRI扫描。在每种情况下，元音产生的听觉反馈要么是正常的（没有扰动），要么是随机受到向上（+600美分）音高移动刺激的干扰。与休息时相比，说话（有移位和无移位）时的BOLD反应分析显示，一个复杂的网络被激活，包括双侧颞上回（STG）、Heschl’s回、中央前回、辅助运动区（SMA）、罗兰底盖、中央后回和右侧额下回（IFG）。表现相关性分析显示，受试者产生的代偿性声音反应与双侧STG和左中央前回BOLD反应增加显著相关。然而，在回放过程中，激活网络仅限于皮层听觉区域，包括双侧STG和Heschl’s gyrus。此外，说话和回放之间的对比突出了一个独特的功能网络，包括双侧中央前回、SMA、IFG、中央后回和脑岛。这些发现表明，言语运动控制涉及到感觉（如听觉）皮层的反馈错误检测，随后激活与运动相关的区域，以在说话过程中调整言语参数。
Speaking is one of the most complex motor behaviors developed to facilitate human communication. The underlying neural mechanisms of speech involve sensory-motor interactions that incorporate feedback information for online monitoring and control of produced speech sounds. In the present study, we adopted an auditory feedback pitch perturbation paradigm and combined it with functional magnetic resonance imaging (fMRI) recordings in order to identify brain areas involved in speech production and motor control. Subjects underwent fMRI scanning while they produced a steady vowel sound /a/ (speaking) or listened to the playback of their own vowel production (playback). During each condition, the auditory feedback from vowel production was either normal (no perturbation) or perturbed by an upward (+600 cents) pitch shift stimulus randomly. Analysis of BOLD responses during speaking (with and without shift) vs. rest revealed activation of a complex network including bilateral superior temporal gyrus (STG), Heschl's gyrus, precentral gyrus, supplementary motor area (SMA), Rolandic operculum, postcentral gyrus and right inferior frontal gyrus (IFG). Performance correlation analysis showed that the subjects produced compensatory vocal responses that significantly correlated with BOLD response increases in bilateral STG and left precentral gyrus. However, during playback, the activation network was limited to cortical auditory areas including bilateral STG and Heschl's gyrus. Moreover, the contrast between speaking vs. playback highlighted a distinct functional network that included bilateral precentral gyrus, SMA, IFG, postcentral gyrus and insula. These findings suggest that speech motor control involves feedback error detection in sensory (e.g. auditory) cortices that subsequently activate motor-related areas for the adjustment of speech parameters during speaking.
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