Measuring shared responses across subjects using intersubject correlation

TY - JOUR

T1 - Measuring shared responses across subjects using intersubject correlation

AU - Nastase, Samuel A

AU - Gazzola, Valeria

AU - Hasson, Uri

AU - Keysers, Christian

N1 - © The Author(s) 2019. Published by Oxford University Press.

PY - 2019/3/16

Y1 - 2019/3/16

N2 - 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.

AB - 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.

U2 - 10.1093/scan/nsz037

DO - 10.1093/scan/nsz037

M3 - Article

C2 - 31099394

SN - 1749-5024

VL - 14

SP - 667

EP - 685

JO - Social Cognitive and Affective Neuroscience

JF - Social Cognitive and Affective Neuroscience

ER -