Selective Attention to Semantic and Syntactic Features Modulates Sentence Processing Networks in Anterior Temporal Cortex
Selective Attention to Semantic and Syntactic Features Modulates Sentence Processing Networks in Anterior Temporal Cortex
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DOI：
10.1093/cercor/bhn126
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发表时间：
2009-04-01
期刊：
影响因子：
3.7
通讯作者：
Hickok, Gregory
中科院分区：
文献类型：
--
作者：
Rogalsky, Corianne;Hickok, Gregory
许多研究已经确定了一个前颞叶（ATL）区域，优先响应脑电水平的刺激。然而，目前还不清楚这种活动是否反映了对句法计算或某种形式的语义整合的反应。这种区别很难用传统实现的刺激操纵和异常检测范式来研究。目前的功能磁共振成像研究通过选择性注意范式解决了这个问题。受试者监测偶尔的语义异常或偶尔的句法错误，从而引导他们的注意力到语义整合，或句子的句法属性。仅在异常/无错误句子期间检查了选择性ATL区域（用定位器扫描定义）的血流动力学反应，以避免由于错误检测而造成的混淆。大多数的特定区域的兴趣同样调制注意句法或成分的语义特征，而一个较小的子区域只调制的语义任务。我们认为，在句子加工的句法和整合语义功能，与一个较小的部分，这方面的优先参与。本研究还表明，选择性注意范式可能是研究句子加工网络功能多样性的有效工具。
Numerous studies have identified an anterior temporal lobe (ATL) region that responds preferentially to sentence-level stimuli. It is unclear, however, whether this activity reflects a response to syntactic computations or some form of semantic integration. This distinction is difficult to investigate with the stimulus manipulations and anomaly detection paradigms traditionally implemented. The present functional magnetic resonance imaging study addresses this question via a selective attention paradigm. Subjects monitored for occasional semantic anomalies or occasional syntactic errors, thus directing their attention to semantic integration, or syntactic properties of the sentences. The hemodynamic response in the sentence-selective ATL region (defined with a localizer scan) was examined during anomaly/error-free sentences only, to avoid confounds due to error detection. The majority of the sentence-specific region of interest was equally modulated by attention to syntactic or compositional semantic features, whereas a smaller subregion was only modulated by the semantic task. We suggest that the sentence-specific ATL region is sensitive to both syntactic and integrative semantic functions during sentence processing, with a smaller portion of this area preferentially involved in the later. This study also suggests that selective attention paradigms may be effective tools to investigate the functional diversity of networks involved in sentence processing.