The predictive value of changes in effective connectivity for human learning
The predictive value of changes in effective connectivity for human learning
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DOI：
10.1126/science.283.5407.1538
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发表时间：
1999-03-05
期刊：
影响因子：
56.9
通讯作者：
Friston, KJ
中科院分区：
文献类型：
--
作者：
Büchel, C;Coull, JT;Friston, KJ
在学习过程中，反复暴露于相同刺激的情况下，神经反应减少。这种重复抑制被认为反映了任务引起的神经元反应的逐步优化。功能磁共振成像用于研究视觉对象及其位置的关联学习的神经基础。如预期的那样，专门皮质区域的激活随时间而减少。但是，通过路径分析，可以表明，与这种适应性同时，有效连通性的增加发生在专门用于空间和对象处理的不同皮层系统之间。这些塑料变化的时间过程与个人学习表现高度相关，这表明大脑区域之间的相互作用是关联学习的基础。
During learning, neural responses decrease over repeated exposure to identical stimuli. This repetition suppression is thought to reflect a progressive optimization of neuronal responses elicited by the task. Functional magnetic resonance imaging was used to study the neural basis of associative learning of visual objects and their locations. As expected, activation in specialized cortical areas decreased with time. However, with path analysis it was shown that, in parallel to this adaptation, increases in effective connectivity occurred between distinct cortical systems specialized for spatial and object processing. The time course of these plastic changes was highly correlated with individual learning performance, suggesting that interactions between brain areas underlie associative learning.