兴奋性小脑经颅直流电刺激可提高利用先验知识预测行动的能力。

Viola Oldrati, Niccolò Butti, Elisabetta Ferrari, Zaira Cattaneo, Cosimo Urgesi, Alessandra Finisguerra
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引用次数: 0

摘要

小脑根据对行为规律性的统计学习,生成社会事件的内部模型,从而为社会处理提供因果支持。然而,小脑是只参与形成内部模型,还是也参与使用内部模型来预测即将发生的行为,目前仍不清楚。我们使用小脑经颅直流电刺激(ctDCS)来调节健康成年人在一项行动预测任务中使用先前学习到的预期的表现。在该任务的第一学习阶段,参与者会接触到特定动作与上下文元素之间不同程度的关联,以诱导形成强烈或中等信息量的预期。在接下来的测试阶段,我们通过 ctDCS 来评估这些预期在预测模糊(即时间上闭塞)动作时的应用情况。结果表明,与假性 ctDCS 相比,阳极 ctDCS 能够增强对中度信息背景下动作的预测,但不能增强对强信息背景下动作的预测。由于ctDCS是在测试阶段进行的,即在预期建立之后,我们的研究结果表明,小脑因果参与了内部模型的使用(而不仅仅是生成模型)。这鼓励我们探索 ctDCS 的临床效果,以弥补社会感知中预测性内部模型使用不佳的问题。
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Excitatory cerebellar transcranial direct current stimulation boosts the leverage of prior knowledge for predicting actions.

The cerebellum causally supports social processing by generating internal models of social events based on statistical learning of behavioral regularities. However, whether the cerebellum is only involved in forming or also in using internal models for the prediction of forthcoming actions is still unclear. We used cerebellar transcranial Direct Current Stimulation (ctDCS) to modulate the performance of healthy adults in using previously learned expectations in an action prediction task. In a first learning phase of this task, participants were exposed to different levels of associations between specific actions and contextual elements, to induce the formation of either strongly or moderately informative expectations. In a following testing phase, which assessed the use of these expectations for predicting ambiguous (i.e. temporally occluded) actions, we delivered ctDCS. Results showed that anodic, compared to sham, ctDCS boosted the prediction of actions embedded in moderately, but not strongly, informative contexts. Since ctDCS was delivered during the testing phase, that is after expectations were established, our findings suggest that the cerebellum is causally involved in using internal models (and not just in generating them). This encourages the exploration of the clinical effects of ctDCS to compensate poor use of predictive internal models for social perception.

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