Dynamic Causal Modeling of Subcortical Connectivity of Language
Dynamic Causal Modeling of Subcortical Connectivity of Language
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DOI：
10.1523/jneurosci.3433-10.2011
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发表时间：
2011-02-16
影响因子：
5.3
通讯作者：
Friederici, Angela D.
中科院分区：
文献类型：
--
作者：
David, Olivier;Maess, Burkhard;Friederici, Angela D.
使用听觉理解过程中记录的脑磁图数据的动态因果建模，研究了语言网络中的皮层下-皮层相互作用。参与者听到的句子要么是正确的，要么包含违规行为。含有违规的句子有句法或韵律违规或两者兼而有之。我们发现，一个隐藏的源，建模磁沉默深核，需要最好地解释数据。这与最近的脑成像研究和颅内记录表明皮质下结构参与语言处理一致。在这里，句法和韵律违规的处理引起了全球性的增加，在皮层和皮层下水平的诱发反应的幅度。正如贝叶斯模型平均估计的那样，这伴随着皮质-皮质和皮质下-皮质连接的各种变化。最一致的调查结果有关的侵犯是减少折返输入Heschl的回（HG）和transcallosal外侧连接。这些结果表明，在条件下，其中一个半球检测违规，可能通过快速丘脑皮质（HG）环路，intercallosal连接减少，允许独立的处理语法（左半球）和韵律（右半球）。这项研究是认知神经科学的第一个证明，可以使用非侵入性电生理记录经验性地研究皮层下-皮层回路。
Subcortical-cortical interactions in the language network were investigated using dynamic causal modeling of magnetoencephalographic data recorded during auditory comprehension. Participants heard sentences that either were correct or contained violations. Sentences containing violations had syntactic or prosodic violations or both. We show that a hidden source, modeling magnetically silent deep nuclei, is required to explain the data best. This is in line with recent brain imaging studies and intracranial recordings suggesting an involvement of subcortical structures in language processing. Here, the processing of syntactic and prosodic violations elicited a global increase in the amplitude of evoked responses, both at the cortical and subcortical levels. As estimated by Bayesian model averaging, this was accompanied by various changes in cortical-cortical and subcortical-cortical connectivity. The most consistent findings in relation to violations were a decrease of reentrant inputs to Heschl's gyrus (HG) and of transcallosal lateral connections. These results suggest that in conditions where one hemisphere detects a violation, possibly via fast thalamocortical (HG) loops, the intercallosal connectivity is reduced to allow independent processing of syntax (left hemisphere) and of prosody (right hemisphere). This study is the first demonstration in cognitive neuroscience that subcortical-cortical loops can be empirically investigated using noninvasive electrophysiological recordings.