Neural mechanisms of mood-induced modulation of reality monitoring in schizophrenia.
Neural mechanisms of mood-induced modulation of reality monitoring in schizophrenia.
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DOI：
10.1016/j.cortex.2017.01.005
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发表时间：
2017-06
期刊：
影响因子：
--
通讯作者：
Vinogradov S
中科院分区：
文献类型：
--
作者：
Subramaniam K;Ranasinghe KG;Mathalon D;Nagarajan S;Vinogradov S
现实监控是准确区分自我生成信息来源与外部呈现信息的能力。虽然精神分裂症患者（SZ）表现出现实监控受损，但人们对情绪状态如何影响这种高阶认知过程一无所知。因此，我们诱导积极，中性和消极的情绪状态，以测试不同的情绪状态如何调节随后的现实监测性能。我们的研究结果表明，情绪影响现实监测性能在HC和SZ参与者在类似的和分离的方式。只有一个积极的情绪促进健康对照（HC）的主题，而一个消极的情绪促进SZ主题的任务绩效。然而，当HC和SZ参与者都处于积极的情绪中时，他们招募内侧前额叶皮层（mPFC）来更好地偏向随后的自我生成项目识别，尽管事实上SZ参与者的mPFC信号减少了。此外，在SZ受试者中，负面情绪状态也调制了左和右背侧mPFC信号，以更好地偏置外部呈现的项目识别。总之，我们的研究结果表明，虽然在SZ参与者的mPFC是功能减退，mPFC信号在积极和消极的情绪状态，以促进随后的现实监测决策的情绪认知互动中发挥着功能性作用。
Reality monitoring is the ability to accurately distinguish the source of self-generated information from externally-presented information. Although people with schizophrenia (SZ) show impaired reality monitoring, nothing is known about how mood state influences this higher-order cognitive process. Accordingly, we induced positive, neutral and negative mood states to test how different mood states modulate subsequent reality monitoring performance. Our findings indicate that mood affected reality monitoring performance in HC and SZ participants in both similar and dissociable ways. Only a positive mood facilitated task performance in Healthy Control (HC) subjects, whereas a negative mood facilitated task performance in SZ subjects. Yet, when both HC and SZ participants were in a positive mood, they recruited medial prefrontal cortex (mPFC) to bias better subsequent self-generated item identification, despite the fact that mPFC signal was reduced in SZ participants. Additionally, in SZ subjects, negative mood states also modulated left and right dorsal mPFC signal to bias better externally-presented item identification. Together our findings reveal that although the mPFC is hypoactive in SZ participants, mPFC signal plays a functional role in mood–cognition interactions during both positive and negative mood states to facilitate subsequent reality monitoring decision-making.
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