Mnemonic discrimination of object and context is differentially associated with mental health
Mnemonic discrimination of object and context is differentially associated with mental health
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DOI：
10.1016/j.nlm.2020.107268
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发表时间：
2020-09-01
影响因子：
2.7
通讯作者：
Johansson, Mikael
中科院分区：
文献类型：
--
作者：
Dohm-Hansen, Sebastian;Johansson, Mikael
情景记忆是由海马体结合日常事件的“什么”和“哪里”特征形成的。海马体通过模式分离来最小化相关的相似情景记忆之间的干扰。压力和精神病理学与降低的模式分离有关。虽然目前的行为范式通常使用正确的拒绝单一对象或上下文诱惑，而不是复合刺激，它是不知道，如果对象和上下文模式分离差异与心理健康。我们的理由是，一个对象在上下文范例将更敏感的心理健康状态比目前的实现，增加任务的要求。我们发现，非临床抑郁症和焦虑症状的严重程度与减少诱惑拒绝对象和上下文，只有对象域与诱惑过度概括伴随增加。因此，我们认为，减少诱惑拒绝和增加过度概括不能混为一谈。虽然我们的对象在上下文中的范例是不是更敏感的心理健康的变化，我们表明，诱惑拒绝和过度概括率在一个域（如对象）的影响，由其他域的状态（如上下文目标与诱惑）。最后，由于文献中存在几个模式分离的指标，我们评估了不同指标与心理健康的关联。
Episodic memories are formed by hippocampal binding of the "what" and "where" features of everyday events. The hippocampus minimizes interference between related similar episodic memories by pattern separation. Stress and psychopathology are associated with lowered pattern separation. While current behavioral paradigms typically use correct rejections of single object or context lures rather than composite stimuli, it is not known if object and context pattern separation differentially associate with mental health. We reasoned that an object-in context paradigm would be more sensitive to mental health state than current implementations, given increased task demands. We found that non-clinical depression and anxiety symptom severity were associated with reduced lure rejection for both object and context and that only the object domain was associated with a concomitant increase in lure overgeneralization. Therefore, we argue that reduced lure rejection and increased overgeneralization must not be conflated. Although our object-in-context paradigm was not more sensitive to variation in mental health, we show that lure rejection and overgeneralization rate in one domain (e.g. object) was affected by the status of the other domain (e.g. context target versus lure). Finally, as several metrics of pattern separation exist in the literature, we evaluated the association of different metrics with mental health.