Cohen Hagit, Matar Michael A, Joseph Zohar
Israel Ministry of Health Mental Health Center, Anxiety and Stress Research Unit, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Curr Protoc Neurosci. 2013 Jul;Chapter 9:Unit 9.45. doi: 10.1002/0471142301.ns0945s64.
Animal behavioral studies have commonly regarded the entire group of animals subjected to the study conditions as homogeneous, disregarding individual differences in response patterns. The following discussion will focus on a method of analyzing data that aims to model clinical diagnostic criteria applied to individual patterns of response using data from behavioral measures, and employing cut-off scores to distinguish between extremes of response versus non-response and the sizeable proportion of study subjects in-between them. This protocol unit will present the concept of the model and its background, provide detailed protocols for each of its components, and present a selection of studies employing and examining the model, alongside the underlying translational rationale of each.
动物行为学研究通常将接受研究条件的整个动物群体视为同质的,而忽略反应模式中的个体差异。以下讨论将聚焦于一种数据分析方法,该方法旨在利用行为测量数据,对应用于个体反应模式的临床诊断标准进行建模,并采用临界分数来区分反应极端与无反应情况以及两者之间相当比例的研究对象。本方案单元将介绍该模型的概念及其背景,为其每个组成部分提供详细方案,并展示一系列采用和检验该模型的研究,以及每项研究背后的转化原理。