@article {Mengotti5419, author = {Paola Mengotti and Pascasie L. Dombert and Gereon R. Fink and Simone Vossel}, title = {Disruption of the Right Temporoparietal Junction Impairs Probabilistic Belief Updating}, volume = {37}, number = {22}, pages = {5419--5428}, year = {2017}, doi = {10.1523/JNEUROSCI.3683-16.2017}, publisher = {Society for Neuroscience}, abstract = {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{\textquoteright} updating of false prior beliefs concerning \%CV, reflected in a decreased learning rate of a Rescorla{\textendash}Wagner model. Online TMS over rTPJ also impacted on participants{\textquoteright} 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{\textquoteright}s function during cognitive processing.SIGNIFICANCE STATEMENT 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.}, issn = {0270-6474}, URL = {https://www.jneurosci.org/content/37/22/5419}, eprint = {https://www.jneurosci.org/content/37/22/5419.full.pdf}, journal = {Journal of Neuroscience} }