Deschamps Isabelle, Tremblay Pascale
Département de Réadaptation, Université Laval Québec City, QC, Canada ; Centre de recherche de l'Institut universitaire en santé mentale de Québec Québec City, QC, Canada.
Front Hum Neurosci. 2014 Jul 8;8:492. doi: 10.3389/fnhum.2014.00492. eCollection 2014.
The processing of fluent speech involves complex computational steps that begin with the segmentation of the continuous flow of speech sounds into syllables and words. One question that naturally arises pertains to the type of syllabic information that speech processes act upon. Here, we used functional magnetic resonance imaging to profile regions, using a combination of whole-brain and exploratory anatomical region-of-interest (ROI) approaches, that were sensitive to syllabic information during speech perception by parametrically manipulating syllabic complexity along two dimensions: (1) individual syllable complexity, and (2) sequence complexity (supra-syllabic). We manipulated the complexity of the syllable by using the simplest syllable template-a consonant and vowel (CV)-and inserting an additional consonant to create a complex onset (CCV). The supra-syllabic complexity was manipulated by creating sequences composed of the same syllable repeated six times (e.g., /pa-pa-pa-pa-pa-pa/) and sequences of three different syllables each repeated twice (e.g., /pa-ta-ka-pa-ta-ka/). This parametrical design allowed us to identify brain regions sensitive to (1) syllabic complexity independent of supra-syllabic complexity, (2) supra-syllabic complexity independent of syllabic complexity and, (3) both syllabic and supra-syllabic complexity. High-resolution scans were acquired for 15 healthy adults. An exploratory anatomical ROI analysis of the supratemporal plane (STP) identified bilateral regions within the anterior two-third of the planum temporale, the primary auditory cortices as well as the anterior two-third of the superior temporal gyrus that showed different patterns of sensitivity to syllabic and supra-syllabic information. These findings demonstrate that during passive listening of syllable sequences, sublexical information is processed automatically, and sensitivity to syllabic and supra-syllabic information is localized almost exclusively within the STP.
流畅言语的处理涉及复杂的计算步骤,这些步骤始于将连续的语音流分割为音节和单词。一个自然而然出现的问题涉及言语处理所作用的音节信息类型。在此,我们使用功能磁共振成像,采用全脑和探索性解剖学感兴趣区域(ROI)方法相结合的方式,来描绘在言语感知过程中对音节信息敏感的区域,具体做法是沿着两个维度对音节复杂性进行参数化操作:(1)单个音节的复杂性,以及(2)序列复杂性(超音节)。我们通过使用最简单的音节模板——一个辅音和一个元音(CV)——并插入一个额外的辅音来创建复杂起始(CCV),以此来操纵音节的复杂性。通过创建由同一个音节重复六次组成的序列(例如,/pa-pa-pa-pa-pa-pa/)以及由三个不同音节各重复两次组成的序列(例如,/pa-ta-ka-pa-ta-ka/)来操纵超音节复杂性。这种参数化设计使我们能够识别出对以下三种情况敏感的脑区:(1)独立于超音节复杂性的音节复杂性,(2)独立于音节复杂性的超音节复杂性,以及(3)音节和超音节复杂性两者。对15名健康成年人进行了高分辨率扫描。对颞上平面(STP)的探索性解剖学ROI分析确定了颞平面前三分之二内的双侧区域、初级听觉皮层以及颞上回的前三分之二,这些区域对音节和超音节信息表现出不同的敏感性模式。这些发现表明,在被动聆听音节序列时,亚词汇信息会自动得到处理,并且对音节和超音节信息的敏感性几乎完全局限于STP内。