论文标题
预测大脑从自发活动的时间相关性引起对外部刺激的反应
Predicting brain evoked response to external stimuli from temporal correlations of spontaneous activity
论文作者
论文摘要
自发和刺激的全球大脑活动之间的关系是对大脑功能的理解的基本问题。在无际波动散失关系的背景下，理论上和实验研究了这个问题。我们在线性噪声近似中考虑了随机的粗粒度威尔逊牛群模型，并将分析结果与人脑磁脑电图（MEG）的实验数据进行了比较。自发活动的自相关函数的短时间行为的特征是双指数衰减，有两个特征时间，不同的是两个数量级。相反，响应函数表现出与视觉刺激下诱发活性的实验数据一致的单个指数衰减。结果表明，可以从自发性活动的观察中预测对弱外部刺激的大脑反应，并为在不同的外部扰动下对大脑反应进行控制的实验铺平了道路。
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.
