IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v9y2018i1d10.1038_s41467-017-02722-7.html
   My bibliography  Save this article

Similar neural responses predict friendship

Author

Listed:
  • Carolyn Parkinson

    (University of California, Los Angeles)

  • Adam M. Kleinbaum

    (Dartmouth College)

  • Thalia Wheatley

    (Dartmouth College)

Abstract

Human social networks are overwhelmingly homophilous: individuals tend to befriend others who are similar to them in terms of a range of physical attributes (e.g., age, gender). Do similarities among friends reflect deeper similarities in how we perceive, interpret, and respond to the world? To test whether friendship, and more generally, social network proximity, is associated with increased similarity of real-time mental responding, we used functional magnetic resonance imaging to scan subjects’ brains during free viewing of naturalistic movies. Here we show evidence for neural homophily: neural responses when viewing audiovisual movies are exceptionally similar among friends, and that similarity decreases with increasing distance in a real-world social network. These results suggest that we are exceptionally similar to our friends in how we perceive and respond to the world around us, which has implications for interpersonal influence and attraction.

Suggested Citation

  • Carolyn Parkinson & Adam M. Kleinbaum & Thalia Wheatley, 2018. "Similar neural responses predict friendship," Nature Communications, Nature, vol. 9(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-017-02722-7
    DOI: 10.1038/s41467-017-02722-7
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-017-02722-7
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-017-02722-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hongmi Lee & Janice Chen, 2022. "Predicting memory from the network structure of naturalistic events," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    2. Becker, Kai & Ebbers, Joris J. & Engel, Yuval, 2023. "Network to passion or passion to network? Disentangling entrepreneurial passion selection and contagion effects among peers and teams in a startup accelerator," Journal of Business Venturing, Elsevier, vol. 38(4).
    3. Jennifer M. Murray & Sharon C. Sánchez-Franco & Olga L. Sarmiento & Erik O. Kimbrough & Christopher Tate & Shannon C. Montgomery & Rajnish Kumar & Laura Dunne & Abhijit Ramalingam & Erin L. Krupka & F, 2023. "Selection homophily and peer influence for adolescents’ smoking and vaping norms and outcomes in high and middle-income settings," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-35, December.
    4. Thibaud Deguilhem & Jean-Philippe Berrou & François Combarnous, 2019. "Using your ties to get a worse job? The differential effects of social networks on quality of employment in Colombia," Review of Social Economy, Taylor & Francis Journals, vol. 77(4), pages 493-522, October.
    5. Elisa C. Baek & Ryan Hyon & Karina López & Emily S. Finn & Mason A. Porter & Carolyn Parkinson, 2022. "In-degree centrality in a social network is linked to coordinated neural activity," Nature Communications, Nature, vol. 13(1), pages 1-13, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-017-02722-7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.