Network modulation during complex syntactic processing.
Network modulation during complex syntactic processing.
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DOI：
10.1016/j.neuroimage.2011.07.057
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发表时间：
2012-01-02
期刊：
影响因子：
5.7
通讯作者：
Thompson CK
中科院分区：
文献类型：
--
作者：
den Ouden DB;Saur D;Mader W;Schelter B;Lukic S;Wali E;Timmer J;Thompson CK
复杂句子处理由包括下额叶皮层和后上颞叶皮层的左偏神经网络支持。这项研究调查了该网络内的连接模式和信息流。我们使用了来自早期研究中报告的 12 名健康参与者的 fMRI BOLD 数据（Thompson, C. K.、Den Ouden, D. B.、Bonakdarpour, B.、Garibaldi, K. 和 Parrish, T. B. (2010b)。语法错误中句子处理的神经可塑性和治疗诱导的恢复。Neuropsychologia, 48(11), 3211-3227）通过句法不太复杂的主语裂处理来识别与宾语裂相关的激活峰值。对从参与者特定的激活峰值中提取的时间序列进行定向偏相关分析，并显示了四个区域之间功能连接的证据，即前运动皮层、额下回、颞上沟和颞中前回之间的线性连接。这种模式作为网络动态因果建模的基础，该网络具有后上颞叶皮层的驱动输入，这可能支持主题角色分配，以及具有下额叶皮层（与句法计算相关的核心区域）的驱动输入的网络。最佳模型是通过频率论和贝叶斯模型选择确定的，结果反映了一个网络，其主要驱动力来自下额叶皮层，并通过复杂的句子处理调节下额叶和后上颞叶皮层之间的连接。获胜模型还显示了从后上颞叶皮层到下额叶皮层的反馈机制的实质性作用。我们认为复杂的句法处理是由词序分析驱动的，由下额叶皮层支持，与后上颞叶皮层处于交互关系，支持动词参数结构处理。
Complex sentence processing is supported by a left-lateralized neural network including inferior frontal cortex and posterior superior temporal cortex. This study investigates the pattern of connectivity and information flow within this network. We used fMRI BOLD data derived from 12 healthy participants reported in an earlier study (Thompson, C. K., Den Ouden, D. B., Bonakdarpour, B., Garibaldi, K., & Parrish, T. B. (2010b). Neural plasticity and treatment-induced recovery of sentence processing in agrammatism. Neuropsychologia, 48(11), 3211-3227) to identify activation peaks associated with object-cleft over syntactically less complex subject-cleft processing. Directed Partial Correlation Analysis was conducted on time series extracted from participant-specific activation peaks and showed evidence of functional connectivity between four regions, linearly between premotor cortex, inferior frontal gyrus, posterior superior temporal sulcus and anterior middle temporal gyrus. This pattern served as the basis for Dynamic Causal Modeling of networks with a driving input to posterior superior temporal cortex, which likely supports thematic role assignment, and networks with a driving input to inferior frontal cortex, a core region associated with syntactic computation. The optimal model was determined through both frequentist and Bayesian model selection and turned out to reflect a network with a primary drive from inferior frontal cortex and modulation of the connection between inferior frontal and posterior superior temporal cortex by complex sentence processing. The winning model also showed a substantive role for a feedback mechanism from posterior superior temporal cortex back to inferior frontal cortex. We suggest that complex syntactic processing is driven by word-order analysis, supported by inferior frontal cortex, in an interactive relation with posterior superior temporal cortex, which supports verb argument structure processing.
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