Proof of Concept of the Contribution of the Interaction between Trait-like and State-like Effects in Identifying Individual-Specific Mechanisms of Action in Biological Psychiatry.
Proof of Concept of the Contribution of the Interaction between Trait-like and State-like Effects in Identifying Individual-Specific Mechanisms of Action in Biological Psychiatry.
复制标题
在生物精神病学中识别个体特异性作用机制时，类特质和类状态效应之间的相互作用的贡献的概念证明。
DOI：
10.3390/jpm12081197
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发表时间：
2022-07-23
影响因子：
--
通讯作者：
Rutherford, Bret R.
中科院分区：
文献类型：
--
作者：
Zilcha-Mano, Sigal;Solomonov, Nili;Posner, Jonathan E.;Roose, Steven P.;Rutherford, Bret R.
关键词：
背景：确定个体特异性的作用机制可能有助于精准医学的进展。大多数试图确定作用机制的研究都归结为两个不同的组成部分：治疗前个体之间的特质特征和治疗过程中每个个体内部的状态特征变化。我们提出了一个概念框架，强调研究的重要性，特质和状态的成分之间的相互作用，在发展中的调解模型，可以指导个性化的有针对性的干预措施。研究方法：为了促进这一框架的实施，两个实证演示，从最近的临床试验和神经影像学研究。第一个检查边缘反应在情绪化的脸任务;第二个关注纹状体激活在金钱奖励任务。结果如下：在这两项任务中，考虑到特质和状态的成分之间的相互作用预测治疗结果更强大的特质或状态的成分单独检查。结论：这些发现表明，神经激活的状态样调节可以作为潜在治疗靶点的程度取决于这些区域中的预处理、特征样激活水平。因此，类特质和类状态成分之间的相互作用可以作为一个有前途的路径，在精准医学框架内的个性化干预措施的发展，其中的作用机制是个体特异性的。
Background: Identifying individual-specific mechanisms of action may facilitate progress toward precision medicine. Most studies seeking to identify mechanisms of action collapse together two distinct components: pre-treatment trait-like characteristics differentiating between individuals and state-like characteristics changing within each individual over the course of treatment. We suggest a conceptual framework highlighting the importance of studying interactions between trait-like and state-like components in the development of moderated mediation models that can guide personalized targeted interventions. Methods: To facilitate implementation of this framework, two empirical demonstrations are presented from a recent clinical trial and neuroimaging study. The first examines limbic reactivity during an emotional face task; the second concerns striatal activation in a monetary reward task. Results: In both tasks, considering the interaction between trait-like and state-like components predicted treatment outcome more robustly than did the trait-like or state-like components examined individually. Conclusions: These findings suggest that the extent to which state-like modulation of neural activations can serve as a potential treatment target depends on the pre-treatment, trait-like levels of activation in these regions. Thus, the interaction between trait-like and state-like components can serve as a promising path to the development of personalized interventions within a precision medicine framework in which mechanisms of action are individual-specific.
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