Predicting brain evoked response to external stimuli from temporal correlations of spontaneous activity

Alessandro Sarracino, O. Arviv, O. Shriki, L. Arcangelis
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引用次数: 13

Abstract

The relation between spontaneous and stimulated global brain activity is a fundamental problem in the understanding of brain functions. This question is investigated both theoretically and experimentally within the context of nonequilibrium fluctuation-dissipation relations. We consider the stochastic coarse-grained Wilson-Cowan model in the linear noise approximation and compare analytical results to experimental data from magnetoencephalography (MEG) of human brain. The short time behavior of the autocorrelation function for spontaneous activity is characterized by a double-exponential decay, with two characteristic times, differing by two orders of magnitude. Conversely, the response function exhibits a single exponential decay in agreement with experimental data for evoked activity under visual stimulation. Results suggest that the brain response to weak external stimuli can be predicted from the observation of spontaneous activity and pave the way to controlled experiments on the brain response under different external perturbations.
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从自发活动的时间相关性预测大脑对外部刺激的诱发反应
自发脑活动和受刺激脑活动之间的关系是理解脑功能的一个基本问题。这个问题在非平衡波动-耗散关系的背景下进行了理论和实验研究。在线性噪声近似中考虑随机粗粒度Wilson-Cowan模型,并将分析结果与人脑脑磁图(MEG)实验数据进行比较。自发活动的自相关函数的短时间行为表现为双指数衰减,具有两个特征时间,相差两个数量级。相反,响应函数呈现单一指数衰减,与视觉刺激下诱发活动的实验数据一致。结果表明,可以通过观察自发活动来预测大脑对弱外界刺激的反应,为不同外界扰动下大脑反应的对照实验奠定了基础。
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