Dynamic causal modeling of the response to frequency deviants.

Dynamic causal modeling of the response to frequency deviants.
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DOI:
10.1152/jn.90291.2008
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发表时间:
2009-05
影响因子:
2.5
通讯作者:
Friston KJ
Friston KJ
中科院分区:
医学3区
文献类型:
--
作者:
Garrido MI;Kilner JM;Kiebel SJ;Friston KJ

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本文描述了使用动态因果模型来检验关于诱发反应起源的假说。具体地说,我们认为失配负波(MMN)是对异常声音的一种很好的反应,也是研究最广泛的诱发反应之一。关于MMN可能是如何产生的,已经有几种机械的说法。有人认为MMN是感觉输入和对先前输入的记忆痕迹进行比较的结果,尽管另一些人认为由于刺激重复而产生的局部适应足以解释MMN。因此,MMN产生的确切机制仍然不清楚。这项研究测试了一些生物学上看似合理的时空偶极模型,这些模型依赖于外部自上而下连接的变化(使之能够进行比较)和内在变化(即模型适应)。动态因果模型表明,对异常的反应可以用分布式来源分层网络中皮质来源内部和之间的有效连接性的变化来最好地解释。我们的模型比较表明,适应和记忆比较共同作用,产生对频率偏差的早期(N1增强)和晚期(MMN)部分反应。我们根据大脑中的预测编码和分层推理来考虑这些机制。
This article describes the use of dynamic causal modeling to test hypotheses about the genesis of evoked responses. Specifically, we consider the mismatch negativity (MMN), a well-characterized response to deviant sounds and one of the most widely studied evoked responses. There have been several mechanistic accounts of how the MMN might arise. It has been suggested that the MMN results from a comparison between sensory input and a memory trace of previous input, although others have argued that local adaptation, due to stimulus repetition, is sufficient to explain the MMN. Thus the precise mechanisms underlying the generation of the MMN remain unclear. This study tests some biologically plausible spatiotemporal dipole models that rest on changes in extrinsic top-down connections (that enable comparison) and intrinsic changes (that model adaptation). Dynamic causal modeling suggested that responses to deviants are best explained by changes in effective connectivity both within and between cortical sources in a hierarchical network of distributed sources. Our model comparison suggests that both adaptation and memory comparison operate in concert to produce the early (N1 enhancement) and late (MMN) parts of the response to frequency deviants. We consider these mechanisms in the light of predictive coding and hierarchical inference in the brain.
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