Measuring shared responses across subjects using intersubject correlation [article]

Samuel A. Nastase, Valeria Gazzola, Uri Hasson, Christian Keysers
2019 bioRxiv   pre-print
Our capacity to jointly represent information about the world underpins our social experience. By leveraging one individual's brain activity to model another's, we can measure shared information across brains—even in dynamic, naturalistic scenarios where an explicit response model may be unobtainable. Introducing experimental manipulations allows us to measure, for example, shared responses between speakers and listeners, or between perception and recall. In this tutorial, we develop the logic
more » ... f intersubject correlation (ISC) analysis and discuss the family of neuroscientific questions that stem from this approach. We also extend this logic to spatially distributed response patterns and functional network estimation. We provide a thorough and accessible treatment of methodological considerations specific to ISC analysis, and outline best practices.
doi:10.1101/600114 fatcat:6h6eshqm3jbkhm6wd6cpzsi55y