将计算模型与功能磁共振成像数据进行拟合。
Fitting computational models to fMRI.
作者信息
Ashby F Gregory, Waldschmidt Jennifer G
机构信息
Department of Psychology, University of California, Santa Barbara, California 93106, USA.
出版信息
Behav Res Methods. 2008 Aug;40(3):713-21. doi: 10.3758/brm.40.3.713.
Abstract
Many computational models in psychology predict how neural activation in specific brain regions should change during certain cognitive tasks. The emergence of fMRI as a research tool provides an ideal vehicle totest these predictions. Before such tests are possible, however, significant methodological problems must be solved. These problems include transforming the neural activations predicted by the model into predicted BOLD responses, identifying the voxels within each region of interest against which to test the model, and comparing the observed and predicted BOLD responses in each of these regions. In the present article, methods are described for solving each of these problems.
摘要
心理学中的许多计算模型预测了特定脑区的神经激活在某些认知任务期间应如何变化。功能磁共振成像（fMRI）作为一种研究工具的出现为检验这些预测提供了理想的手段。然而，在进行此类检验之前，必须解决重大的方法学问题。这些问题包括将模型预测的神经激活转化为预测的血氧水平依赖（BOLD）反应，识别每个感兴趣区域内用于检验模型的体素，并比较这些区域中观察到的和预测的BOLD反应。在本文中，描述了解决这些问题中每一个问题的方法。
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