González-Montoro Aldana M, Cao Ricardo, Espinosa Nelson, Cudeiro Javier, Mariño Jorge
MODES, Centro de Investigacións en Tecnoloxías da Información e as Comunicacións (CITIC), Departamento de Matemáticas, Facultade de Informática, Universidade da Coruña, Campus de A Coruña, 15071, A Coruña, Spain,
J Comput Neurosci. 2015 Jun;38(3):577-87. doi: 10.1007/s10827-015-0557-5. Epub 2015 Apr 14.
A new cross-correlation synchrony index for neural activity is proposed. The index is based on the integration of the kernel estimation of the cross-correlation function. It is used to test for the dynamic synchronization levels of spontaneous neural activity under two induced brain states: sleep-like and awake-like. Two bootstrap resampling plans are proposed to approximate the distribution of the test statistics. The results of the first bootstrap method indicate that it is useful to discern significant differences in the synchronization dynamics of brain states characterized by a neural activity with low firing rate. The second bootstrap method is useful to unveil subtle differences in the synchronization levels of the awake-like state, depending on the activation pathway.
提出了一种用于神经活动的新的互相关同步指数。该指数基于互相关函数的核估计积分。它用于测试在两种诱导脑状态（睡眠样和清醒样）下自发神经活动的动态同步水平。提出了两种自助重采样计划来近似检验统计量的分布。第一种自助法的结果表明，对于辨别以低发放率神经活动为特征的脑状态同步动力学中的显著差异是有用的。第二种自助法对于揭示清醒样状态同步水平的细微差异是有用的，这取决于激活途径。
