Roncagliolo M, Vivaldi E A
Departamento de Fisiología y Biofísica, Facultad de Medicina, Universidad de Chile, Santiago.
Brain Res Bull. 1991 Nov;27(5):573-80. doi: 10.1016/0361-9230(91)90029-j.
A microcomputer-based system is described that detects, counts and stores cortical delta and sigma waves, hippocampal theta waves and electromyographic activities in the rat by building matrices with the incidence of those four variables (columns) in 15-second bins (rows). Data tables are submitted to statistical, graphics and spread-sheet software to assess internal organization of sleep episodes and 24-hour distribution of sleep variables. Within sleep episodes, cross-correlograms reveal a delta-sigma-theta sequence, while autocorrelograms quantify clustering and periodicity of variables. Sleep accumulates in the lights-on phase, with high concentration of delta at the beginning of this sleep-predominant phase and of sigma and theta in its second half. These are notable similarities with human sleep architecture. Simple procedures for data reduction into standard behavioral state diagnosis are demonstrated. The low cost of personal computers and data acquisition interfaces facilitates the automation of complex paradigms by ad hoc on-line programs that produce as output a data base that can be processed by standard software, providing a fluid pathway of automated acquisition, analysis and presentation of data.
本文描述了一种基于微型计算机的系统，该系统通过构建矩阵来检测、计数和存储大鼠的皮质δ波和σ波、海马θ波以及肌电活动，矩阵中这四个变量（列）的发生率以15秒为间隔（行）。将数据表提交给统计、图形和电子表格软件，以评估睡眠阶段的内部组织以及睡眠变量的24小时分布。在睡眠阶段内，互相关图显示出δ-σ-θ序列，而自相关图则量化了变量的聚类和周期性。睡眠在亮灯阶段积累，在这个以睡眠为主的阶段开始时δ波浓度较高，后半段σ波和θ波浓度较高。这些与人类睡眠结构有显著相似之处。展示了将数据简化为标准行为状态诊断的简单程序。个人计算机和数据采集接口的低成本通过专门的在线程序促进了复杂范式的自动化，这些程序输出的数据库可由标准软件处理，提供了自动化采集、分析和呈现数据的流畅途径。
