MOOD DEPENDENT MEMORY: COGNITIVE AND CLINICAL RESEARCH

虽然有时候已经证明，在某种情感或情绪状态下编码的事件在这种状态下最容易恢复，但无论是情绪依赖记忆（MDM）发生的环境，还是使其出现的机制，都还没有得到很好的理解。 为了帮助澄清这些环境和机制，本项目从两个角度探讨MDM问题。 一种方法的特点是实验室研究，涉及外源性或实验诱导的情绪在大学生。 这里的目的是确定在MDM发生中起关键作用的因素或变量。 这种方法被称为“认知”，因为它关注的因素-例如短与长的保留间隔，对自我与他人的判断，以及实际与模拟的情绪-这些都是主流认知心理学，社会认知或认知/情感互动的学生所熟悉的。 第二种方法集中在选定的临床样本中的内源性或自然发生的情绪。 这里的问题是，是否有可能证明MDM的人经历了显着的情绪变化的精神障碍，如快速循环双相情感障碍的后果。 通过从认知和临床角度研究情绪依赖，该项目旨在（a）减少仍然围绕MDM现实的不确定性，（B）获得对该现象的认知和情感基础的新见解，以及（c）通过跨越传统研究领域的实验来展示探索情绪依赖的优势。

Though it has sometimes been shown that events encoded in a certain state of affect or mood are most retrievable in that state, neither the circumstances under which mood dependent memory (MDM) occurs nor the mechanisms that enable its emergence are as yet well understood. In aid of clarifying these circumstances and mechanisms, this project pursues the problem of MDM from two points of view. One approach features laboratory studies involving exogenous or experimentally induced moods in university students. The aim here is to identify factors or variables that play pivotal roles in the occurrence of MDM. This approach is called "cognitive" because it focuses on factors-- such as short versus long retention intervals, judgements about the self versus others, and actual versus simulated moods--that are familiar to students of mainstream cognitive psychology, social cognition, or cognition/emotion interactions. A second approach concentrates on endogenous or naturally occurring moods in select clinical samples. Here the question of interest is whether it is possible to demonstrate MDM in people who experience marked shifts in mood as a consequence of a psychiatric disorder, such as rapid-cycling bipolar illness. By examining mood dependence from both a cognitive and a clinical perspective, the project seeks to (a) reduce much of the uncertainty that still surrounds the reality of MDM, (b) gain new insights into the phenomenon's cognitive and affective foundations, and (c) demonstrate the advantages of exploring mood dependence through experimentation that cuts across traditional research domains.