Zerebrale Kontrolle motorischer Aspekte der Sprachproduktion

认知语言操作和言语运动输出之间界面的神经解剖学基础仍然知之甚少。这一挑战为我们研究小组的一系列功能性磁共振成像（fMRI）研究提供了基础。首先，左侧运动前皮层和对侧小脑半球的相互作用被发现，以subserve内部言语的高度过度学习的单词串。第二，小脑在这个过程中的参与似乎与频率高于3 Hz的音节序列有关。考虑到最近的心理语言学模型的语音生产，以及先前的调查，我们的小组在共济失调性构音障碍的语音时间，我们假设这个观察到的网络，以反映小脑串联检索的心理音节从左半球的前运动存储在扬声器的习惯语音克里思为4至6赫兹。第三，前额叶的激活被发现与外显言语有关。该项目的重点是对该模型的mentalsyllabary组件及其与小脑和前额叶的相互作用进行实验评估。IMS Stuttgart生成的数据语料库将为计划的正常人语音语音研究、慕尼黑-博根豪森市立医院EKN-临床神经心理学研究小组的临床研究以及图宾根大学正常受试者的fMRI研究提供测试材料。最后，IMS将开发和实施一个计算模型，这将集中在时间/韵律组织的语音和神经控制，并明确规定在语音编码，包括检索过程中的检索从基于范例的音节。

The neuroanatomical substrates of the interface between cognitive-linguistic operations and speech motor output are still poorly understood. This challenge provided the basis for a series of functional magnetic resonance imaging (fMRI) studies of our research groups. First, interactions of left-sided premotor cortex and contralateral cerebellar hemisphere were found to subserve inner speech of highly overlearned word strings. Second, participation of the cerebellum in this process seems to be bound to syllable sequences above a rate of 3 Hz. Considering recent psycholinguistic models of speech production as well as preceding investigations of our groups on speech timing in ataxic dysarthria, we assume this observed network to reflect cerebellar concatenation of retrieved mental syllables from a left-hemisphere premotor store at a speaker's habitual speech tempo of 4 to 6 Hz. Thirdly, activation of the anterior insula was found associated with overt speech. The proposed project focuses on an experimental evaluation of the mentalsyllabary component of this model, and its interactions with cerebellum and anterior insula. The data corpus generated at IMS Stuttgart will provide the test materials both for the planned phonetic investigations of speech by normals, the clinical investigations at the EKN-Clinical Neuropsychology Research Group, City Hospital Munich-Bogenhausen, as well as the fMRI studies in normal subjects at the University of Tübingen. Finally, the IMS will develop and implement a computational model which will concentrate on temporal/prosodic organization of speech and its neural control and explicitly specify the retrieval process during phonetic encoding, including retrieval from the exemplar-based syllabary.