Yaara Yeshurun

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Multi-subject fMRI data is critical for evaluating the generality and validity of findings across subjects, and its effective utilization helps improve analysis sensitivity. We develop a shared response model for aggregating multi-subject fMRI data that accounts for different functional topographies among anatomically aligned datasets. Our model(More)
Does the default mode network (DMN) reconfigure to encode information about the changing environment? This question has proven difficult, because patterns of functional connectivity reflect a mixture of stimulus-induced neural processes, intrinsic neural processes and non-neuronal noise. Here we introduce inter-subject functional correlation (ISFC), which(More)
Differences in people's beliefs can substantially impact their interpretation of a series of events. In this functional MRI study, we manipulated subjects' beliefs, leading two groups of subjects to interpret the same narrative in different ways. We found that responses in higher-order brain areas-including the default-mode network, language areas, and(More)
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