Measuring shared responses across subjects using intersubject correlation

Abstract

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 of 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.

Cite this

Samuel A. Nastase, Valeria Gazzola, Uri Hasson, Christian Keysers (2019). Measuring shared responses across subjects using intersubject correlation. Social Cognitive and Affective Neuroscience. https://doi.org/10.1093/scan/nsz037

@article{a2019measuring,
  title  = {Measuring shared responses across subjects using intersubject correlation},
  author = {Nastase, Samuel A. and Gazzola, Valeria and Hasson, Uri and Keysers, Christian},
  year   = {2019},
  journal = {Social Cognitive and Affective Neuroscience},
  doi    = {10.1093/scan/nsz037}
}

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