Cerebral information transfer during word processing: Where and when does it occur and how fast is it?

Cerebral information transfer during word processing: Where and when does it occur and how fast is it?
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DOI:
10.1002/hbm.10104
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发表时间:
2003-05-01
影响因子:
4.8
通讯作者:
Rappelsberger, P
Rappelsberger, P
中科院分区:
医学2区
文献类型:
--
作者:
Schack, B;Weiss, S;Rappelsberger, P

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大脑的不同区域必须相互作用才能进行语言处理。这种神经整合过程可以通过测量振荡的同步来研究。相干是最著名的算法来研究两个位置的皮质之间的同步有关选定的振荡频率。相位相干量化相位同步,特别是。此外,交叉相位(或简称相位)给出了有关振荡传播的方向和速度的信息。我们使用一种新的方法来研究大脑皮层不同部位之间的短时相,以探索文字处理过程中的瞬态神经网络。特别地,通过α频段(8-10 Hz)的动态相位分析,研究了抽象名词和具体名词的处理。抽象名词和具体名词产生了不同的动态信息传递网络。在具体名词的处理过程中,一个广泛的神经网络在800毫秒内被激活,而在抽象名词的处理过程中,半球间的相互作用被限制在单词呈现后的300-500毫秒。此外,两个词类别的大脑信息传递方向不同。此外,可以看出具体名词的信息传播速度比抽象名词慢。(C) 2003 Wiley-Liss, Inc。
Different regions of the brain have to interact to perform language processing. Such neural integration processes can be studied by measuring synchronization of oscillations. Coherence is the best known algorithm to study synchronization between two sites of the cortex with regard to selected oscillation frequencies. Phase coherence quantifies phase synchronization, in particular. In addition, cross phase (or simply phase) gives information about the direction and speed of the spread of oscillations. We use a new method to study short-time phases between different sites of the cortex in order to explore transient neural networks during word processing. Particularly, processing of abstract and concrete nouns was investigated by dynamic phase analysis of the alphal frequency band (8-10 Hz). Abstract and concrete nouns turned out to induce different dynamic networks of information transfer. Whereas processing of concrete nouns excites a widespread network for about 800 msec, the interhemispheric interactions during abstract noun processing are restricted to 300-500 msec after word presentation. Further, the direction of cerebral information transfer differs for the two word categories. Additionally, it could be shown that the propagation speed of information is slower for concrete nouns than for abstract nouns. (C) 2003 Wiley-Liss, Inc.