Mengotti Paola, Dombert Pascasie L, Fink Gereon R, Vossel Simone
Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Centre Juelich, 52425 Juelich, Germany,
Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Centre Juelich, 52425 Juelich, Germany.
J Neurosci. 2017 May 31;37(22):5419-5428. doi: 10.1523/JNEUROSCI.3683-16.2017. Epub 2017 May 4.
Generating and updating probabilistic models of the environment is a fundamental modus operandi of the human brain. Although crucial for various cognitive functions, the neural mechanisms of these inference processes remain to be elucidated. Here, we show the causal involvement of the right temporoparietal junction (rTPJ) in updating probabilistic beliefs and we provide new insights into the chronometry of the process by combining online transcranial magnetic stimulation (TMS) with computational modeling of behavioral responses. Female and male participants performed a modified location-cueing paradigm, where false information about the percentage of cue validity (%CV) was provided in half of the experimental blocks to prompt updating of prior expectations. Online double-pulse TMS over rTPJ 300 ms (but not 50 ms) after target appearance selectively decreased participants' updating of false prior beliefs concerning %CV, reflected in a decreased learning rate of a Rescorla-Wagner model. Online TMS over rTPJ also impacted on participants' explicit beliefs, causing them to overestimate %CV. These results confirm the involvement of rTPJ in updating of probabilistic beliefs, thereby advancing our understanding of this area's function during cognitive processing. Contemporary views propose that the brain maintains probabilistic models of the world to minimize surprise about sensory inputs. Here, we provide evidence that the right temporoparietal junction (rTPJ) is causally involved in this process. Because neuroimaging has suggested that rTPJ is implicated in divergent cognitive domains, the demonstration of an involvement in updating internal models provides a novel unifying explanation for these findings. We used computational modeling to characterize how participants change their beliefs after new observations. By interfering with rTPJ activity through online transcranial magnetic stimulation, we showed that participants were less able to update prior beliefs with TMS delivered at 300 ms after target onset.
生成并更新环境的概率模型是人类大脑的一种基本运作方式。尽管这些推理过程对各种认知功能至关重要,但其神经机制仍有待阐明。在这里,我们展示了右侧颞顶联合区(rTPJ)在更新概率信念中的因果作用,并且通过将在线经颅磁刺激(TMS)与行为反应的计算建模相结合,我们对该过程的时间进程有了新的认识。女性和男性参与者进行了一种改良的位置提示范式实验,在一半的实验块中提供关于提示有效性百分比(%CV)的错误信息,以促使先验期望的更新。在目标出现后300毫秒(而非50毫秒)对rTPJ进行在线双脉冲TMS,选择性地降低了参与者对关于%CV的错误先验信念的更新,这反映在Rescorla-Wagner模型的学习率降低上。对rTPJ进行在线TMS也影响了参与者的明确信念,导致他们高估%CV。这些结果证实了rTPJ参与概率信念的更新,从而推进了我们对该区域在认知处理过程中功能的理解。当代观点认为,大脑维持世界的概率模型以尽量减少对感官输入的意外。在这里,我们提供证据表明右侧颞顶联合区(rTPJ)因果性地参与了这一过程。因为神经影像学研究表明rTPJ涉及不同的认知领域,证明其参与内部模型的更新为这些发现提供了一种新的统一解释。我们使用计算建模来描述参与者在新观察后如何改变他们的信念。通过在线经颅磁刺激干扰rTPJ的活动,我们发现当在目标开始后300毫秒施加TMS时,参与者更新先验信念的能力下降。