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

机译:当刺激与行为相关时,降低视觉运动的可预测性会增强视觉皮层中的前馈处理

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摘要

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)大脑中信息处理的最新观点强调了中枢神经系统的层次结构,假定该层次结构构成了功能层次结构的基础。分层预测处理是指较高的级别尝试预测较低区域中的活动,而只要预测失败,较低的级别就会在层次结构中向上传递预测错误。本研究旨在测试不可预测的视觉运动对视觉皮层内向前连接的假设调节作用。从35名健康志愿者那里获得了功能磁共振成像,同时在三种不同的可预测性水平下观察了一个移动的球。在两次不同的跑步中,要求受试者注意球的运动方向变化,其中仅在一次跑步中需要按下按钮。动态因果模型应用于包含右半球V1,V5和顶叶后皮质的网络。贝叶斯模型选择的获胜模型表明,从V1到V5的前向连接的强度有所增强,而对于需要电动机响应的行驶,其可预测性却有所降低。这些结果支持分层预测处理的概念,即预测误差的自下而上的增强传输,同时运动方向的不确定性也随之增加。这一发现可能对增进我们对精神病性状特征特征的理解很重要,因为预测误差的正向传播增加是精神分裂症的基础,在疾病的早期可以观察到。

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