Measuring shared responses across subjects using intersubject correlation

Samuel A Nastase; Valeria Gazzola; Uri Hasson; Christian Keysers

doi:10.1093/scan/nsz037

Measuring shared responses across subjects using intersubject correlation

Samuel A Nastase, Valeria Gazzola, Uri Hasson, Christian Keysers

Netherlands Institute for Neuroscience (NIN)

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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.

Original language	English
Pages (from-to)	667-685
Journal	Social Cognitive and Affective Neuroscience
Volume	14
DOIs	https://doi.org/10.1093/scan/nsz037
Publication status	Published - 16 Mar 2019

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