首页> 美国卫生研究院文献>Cerebral Cortex (New York NY) >Vocal Tract Images Reveal Neural Representations of Sensorimotor Transformation During Speech Imitation
【2h】

Vocal Tract Images Reveal Neural Representations of Sensorimotor Transformation During Speech Imitation

机译:人声道图像揭示了语音模仿过程中感觉运动转换的神经表征。

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Imitating speech necessitates the transformation from sensory targets to vocal tract motor output, yet little is known about the representational basis of this process in the human brain. Here, we address this question by using real-time MR imaging (rtMRI) of the vocal tract and functional MRI (fMRI) of the brain in a speech imitation paradigm. Participants trained on imitating a native vowel and a similar nonnative vowel that required lip rounding. Later, participants imitated these vowels and an untrained vowel pair during separate fMRI and rtMRI runs. Univariate fMRI analyses revealed that regions including left inferior frontal gyrus were more active during sensorimotor transformation (ST) and production of nonnative vowels, compared with native vowels; further, ST for nonnative vowels activated somatomotor cortex bilaterally, compared with ST of native vowels. Using test representational similarity analysis (RSA) models constructed from participants’ vocal tract images and from stimulus formant distances, we found that RSA searchlight analyses of fMRI data showed either type of model could be represented in somatomotor, temporal, cerebellar, and hippocampal neural activation patterns during ST. We thus provide the first evidence of widespread and robust cortical and subcortical neural representation of vocal tract and/or formant parameters, during prearticulatory ST.
机译:模仿语音需要从感觉目标转换为声道运动输出,但对这一过程在人脑中的表示基础知之甚少。在这里,我们通过在语音模仿范例中使用声道的实时MR成像(rtMRI)和大脑的功能性MRI(fMRI)解决这个问题。参加者接受了模仿本地元音和需要嘴唇倒圆的类似非本地元音的培训。后来,参与者在单独的fMRI和rtMRI运行期间模仿了这些元音和未经训练的元音对。单变量fMRI分析显示,与自然元音相比,包括左下额回在内的区域在感觉运动转换(ST)和非自然元音产生期间更活跃。此外,与自然元音的ST相比,非自然元音的ST双向激活了躯体运动皮层。使用从参与者的声道图像和刺激共振峰距离构建的测试表示相似性分析(RSA)模型,我们发现RSA探照灯对fMRI数据的分析表明,这两种类型的模型均可表示为躯体运动,颞叶,小脑和海马神经激活ST期间的模式。因此,我们提供了在发音前ST期间声带和/或共振峰参数广泛且健壮的皮质和皮质下神经表示的第一个证据。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号