Information-based functional brain mapping

Information-based functional brain mapping
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DOI:
10.1073/pnas.0600244103
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发表时间:
2006-03-07
影响因子:
11.1
通讯作者:
Bandettini, P
Bandettini, P
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Kriegeskorte, N;Goebel, R;Bandettini, P

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高分辨率神经成像和多电极电生理记录的发展为神经科学家提供了大量的多元数据。由于数据的复杂性,需要进行统计总结,但应用于此目的的局部平均标准可能会掩盖最大的神经科学兴趣的影响。例如,在神经成像中,大脑映射分析集中在激活的发现上,即,在不同的实验条件下,大脑的平均活动会发生变化。在这里,我们提出了一个更普遍的问题的数据:在大脑中的活动模式包含有关实验条件的信息?为了解决这个问题,我们建议用“探照灯”扫描成像体积,其内容在大脑中的每个位置进行多变量分析。
The development of high-resolution neuroimaging and multielectrode electrophysiological recording provides neuroscientists with huge amounts of multivariate data. The complexity of the data creates a need for statistical summary, but the local averaging standardly applied to this end may obscure the effects of greatest neuroscientific interest. In neuroimaging, for example, brain mapping analysis has focused on the discovery of activation, i.e., of extended brain regions whose average activity changes across experimental conditions. Here we propose to ask a more general question of the data: Where in the brain does the activity pattern contain information about the experimental condition? To address this question, we propose scanning the imaged volume with a "searchlight," whose contents are analyzed multivariately at each location in the brain.