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

Ensemble coding of crowd emotion: Differential hemispheric and visual stream contributions

Hee Yeon Im, Daniel N. Albohn, Troy G. Steiner, Cody A. Cushing, Reginald B. Adams Jr., Kestutis Kveraga
doi: https://doi.org/10.1101/101527
Hee Yeon Im
1Department of Radiology, Harvard Medical School
2Athinoula A. Martinos Center for Biomedical Imaging, Department Radiology, Massachusetts General Hospital
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Daniel N. Albohn
3Department of Psychology, The Pennsylvania State University
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Troy G. Steiner
3Department of Psychology, The Pennsylvania State University
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Cody A. Cushing
2Athinoula A. Martinos Center for Biomedical Imaging, Department Radiology, Massachusetts General Hospital
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Reginald B. Adams Jr.
3Department of Psychology, The Pennsylvania State University
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kestutis Kveraga
1Department of Radiology, Harvard Medical School
2Athinoula A. Martinos Center for Biomedical Imaging, Department Radiology, Massachusetts General Hospital
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

The visual system takes advantage of redundancies in the scene by extracting summary statistics from a set of items. Similarly, in many social situations where scrutinizing each individual’s expression is inefficient, human observers make snap judgments of crowds of people by reading “crowd emotion” to avoid danger (e.g., mass panic or violent mobs) or to seek help. However, how the brain accomplishes this feat remains unaddressed. Here we report a set of behavioral and fMRI studies in which participants made avoidance or approach decisions by choosing between two facial crowds presented in the left and right visual fields (LVF/RVF). Participants were most accurate for crowds containing task-relevant cues: avoiding angry crowds and approaching happy crowds. This effect was amplified by sex-linked facial cues (angry male/happy female crowds) and highly lateralized, with better recognition of the task-congruent facial crowd when presented in LVF. fMRI results showed that the dorsal visual stream was preferentially activated in crowd emotion processing, with intraparietal sulcus and superior frontal gyrus predicting behavioral crowd emotion efficiency, whereas the ventral visual stream showed greater involvement in individual face emotion processing, with fusiform cortex activity predicting the accuracy of decisions about individual face emotion. Our results shed new light on the distinction between global vs. local processing of face stimuli, revealing differential involvement of the left and right hemispheres and the dorsal and ventral pathways in reading crowd vs. individual emotion.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
Back to top
PreviousNext
Posted May 24, 2017.
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.
Ensemble coding of crowd emotion: Differential hemispheric and visual stream contributions
(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
Ensemble coding of crowd emotion: Differential hemispheric and visual stream contributions
Hee Yeon Im, Daniel N. Albohn, Troy G. Steiner, Cody A. Cushing, Reginald B. Adams Jr., Kestutis Kveraga
bioRxiv 101527; doi: https://doi.org/10.1101/101527
Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
Citation Tools
Ensemble coding of crowd emotion: Differential hemispheric and visual stream contributions
Hee Yeon Im, Daniel N. Albohn, Troy G. Steiner, Cody A. Cushing, Reginald B. Adams Jr., Kestutis Kveraga
bioRxiv 101527; doi: https://doi.org/10.1101/101527

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 (2533)
  • Biochemistry (4976)
  • Bioengineering (3486)
  • Bioinformatics (15231)
  • Biophysics (6909)
  • Cancer Biology (5395)
  • Cell Biology (7752)
  • Clinical Trials (138)
  • Developmental Biology (4539)
  • Ecology (7159)
  • Epidemiology (2059)
  • Evolutionary Biology (10234)
  • Genetics (7517)
  • Genomics (9793)
  • Immunology (4860)
  • Microbiology (13233)
  • Molecular Biology (5144)
  • Neuroscience (29465)
  • Paleontology (203)
  • Pathology (838)
  • Pharmacology and Toxicology (1465)
  • Physiology (2142)
  • Plant Biology (4756)
  • Scientific Communication and Education (1013)
  • Synthetic Biology (1338)
  • Systems Biology (4014)
  • Zoology (768)