Measuring shared responses across subjects using intersubject correlation

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

Research output: Contribution to journalArticlepeer-review

163 Scopus citations


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 languageEnglish (US)
Pages (from-to)669-687
Number of pages19
JournalSocial cognitive and affective neuroscience
Issue number6
StatePublished - Jun 2019

All Science Journal Classification (ASJC) codes

  • Experimental and Cognitive Psychology
  • Cognitive Neuroscience


  • Communication
  • FMRI
  • Naturalistic stimuli
  • Reliability
  • Social cognition


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