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Decreasing predictability of visual motion enhances feed-forward processing in visual cortex when stimuli are behaviorally relevant

机译:当刺激是行为相关的时,降低视觉运动的可预测性增强了视觉皮层中的前馈处理

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Recent views of information processing in the (human) brain emphasize the hierarchical structure of the central nervous system, which is assumed to form the basis of a functional hierarchy. Hierarchical predictive processing refers to the notion that higher levels try to predict activity in lower areas, while lower levels transmit a prediction error up the hierarchy whenever the predictions fail. The present study aims at testing hypothetical modulatory effects of unpredictable visual motion on forward connectivities within the visual cortex. Functional magnetic resonance imaging was acquired from 35 healthy volunteers while viewing a moving ball under three different levels of predictability. In two different runs subjects were asked to attend to direction changes in the ball's motion, where a button-press was required in one of these runs only. Dynamic causal modeling was applied to a network comprising V1, V5 and posterior parietal cortex in the right hemisphere. The winning model of a Bayesian model selection indicated an enhanced strength in the forward connection from V1 to V5 with decreasing predictability for the run requiring motor response. These results support the notion of hierarchical predictive processing in the sense of an augmented bottom-up transmission of prediction error with increasing uncertainty about motion direction. This finding may be of importance for promoting our understanding of trait characteristics in psychiatric disorders, as an increased forward propagation of prediction error is assumed to underlie schizophrenia and may be observable at early stages of the disease.
机译:(人类)脑中的信息处理的最近视图强调中枢神经系统的层次结构,假设构成功能层次结构的基础。分层预测处理是指更高级别尝试在较低区域中预测活动的概念,而下级在预测失败时将预测错误发送预测错误。本研究旨在测试不可预测的视觉运动对视觉皮质内的前向连接性的假设调制效果。在35个健康的志愿者获得功能磁共振成像,同时在三种不同程度的可预测性下观察移动球。在两种不同的运行中,被要求主题参加球运动的方向变化,其中只需要一个按钮按下。动态因果建模应用于右半球的V1,V5和后部皮质的网络。贝叶斯模型选择的获胜模型指示从V1到V5的向前连接中的增强强度,随着需要电动机响应的运行的可预测性降低。这些结果支持在预测误差的增强自下而上传输的感觉中支持分层预测处理的概念,随着运动方向的不确定性增加。这种发现可能具有重要性,促进我们对精神病疾病中的特征特征的理解,因为预测误差的上向前传播被假定为精神分裂症,并且可能在疾病的早期阶段可观察到。

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