Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Measuring shared responses across subjects using intersubject correlation

View ORCID ProfileSamuel A. Nastase, View ORCID ProfileValeria Gazzola, View ORCID ProfileUri Hasson, View ORCID ProfileChristian Keysers
doi: https://doi.org/10.1101/600114
Samuel A. Nastase
1Princeton Neuroscience Institute and Department of Psychology, Princeton University, Princeton, NJ, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Samuel A. Nastase
  • For correspondence: sam.nastase@gmail.com
Valeria Gazzola
2Netherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences, Amsterdam, Netherlands
3Faculty of Social and Behavioural Sciences, University of Amsterdam, Amsterdam, Netherlands
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Valeria Gazzola
Uri Hasson
1Princeton Neuroscience Institute and Department of Psychology, Princeton University, Princeton, NJ, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Uri Hasson
Christian Keysers
2Netherlands Institute for Neuroscience, Royal Netherlands Academy of Arts and Sciences, Amsterdam, Netherlands
3Faculty of Social and Behavioural Sciences, University of Amsterdam, Amsterdam, Netherlands
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Christian Keysers
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

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.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
Back to top
PreviousNext
Posted April 05, 2019.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Measuring shared responses across subjects using intersubject correlation
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Measuring shared responses across subjects using intersubject correlation
Samuel A. Nastase, Valeria Gazzola, Uri Hasson, Christian Keysers
bioRxiv 600114; doi: https://doi.org/10.1101/600114
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Measuring shared responses across subjects using intersubject correlation
Samuel A. Nastase, Valeria Gazzola, Uri Hasson, Christian Keysers
bioRxiv 600114; doi: https://doi.org/10.1101/600114

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Neuroscience
Subject Areas
All Articles
  • Animal Behavior and Cognition (3602)
  • Biochemistry (7567)
  • Bioengineering (5522)
  • Bioinformatics (20782)
  • Biophysics (10325)
  • Cancer Biology (7978)
  • Cell Biology (11635)
  • Clinical Trials (138)
  • Developmental Biology (6602)
  • Ecology (10200)
  • Epidemiology (2065)
  • Evolutionary Biology (13611)
  • Genetics (9539)
  • Genomics (12844)
  • Immunology (7919)
  • Microbiology (19538)
  • Molecular Biology (7657)
  • Neuroscience (42081)
  • Paleontology (308)
  • Pathology (1257)
  • Pharmacology and Toxicology (2201)
  • Physiology (3267)
  • Plant Biology (7038)
  • Scientific Communication and Education (1294)
  • Synthetic Biology (1951)
  • Systems Biology (5426)
  • Zoology (1116)