Measuring Shared Responses Across Subjects Using Intersubject Correlation

Overview

Journal Soc Cogn Affect Neurosci

Specialties Neurology
Social Sciences

Date 2019 May 18

PMID 31099394

Citations 145

Authors

Samuel A Nastase

Valeria Gazzola

Uri Hasson

Christian Keysers

Affiliations

Soon will be listed here.

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.

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