Neural mechanisms for learning self and other ownership
Patricia L. Lockwood (),
Marco K. Wittmann,
Matthew A. J. Apps,
Miriam C. Klein-Flügge,
Molly J. Crockett,
Glyn W. Humphreys and
Matthew F. S. Rushworth
Additional contact information
Patricia L. Lockwood: University of Oxford
Marco K. Wittmann: University of Oxford
Matthew A. J. Apps: University of Oxford
Miriam C. Klein-Flügge: University of Oxford
Molly J. Crockett: University of Oxford
Glyn W. Humphreys: University of Oxford
Matthew F. S. Rushworth: University of Oxford
Nature Communications, 2018, vol. 9, issue 1, 1-11
Abstract:
Abstract Sense of ownership is a ubiquitous and fundamental aspect of human cognition. Here we used model-based functional magnetic resonance imaging and a novel minimal ownership paradigm to probe the behavioural and neural mechanisms underpinning ownership acquisition for ourselves, friends and strangers. We find a self-ownership bias at multiple levels of behaviour from initial preferences to reaction times and computational learning rates. Ventromedial prefrontal cortex (vmPFC) and anterior cingulate sulcus (ACCs) responded more to self vs. stranger associations, but despite a pervasive neural bias to track self-ownership, no brain area tracked self-ownership exclusively. However, ACC gyrus (ACCg) specifically coded ownership prediction errors for strangers and ownership associative strength for friends and strangers but not for self. Core neural mechanisms for associative learning are biased to learn in reference to self but also engaged when learning in reference to others. In contrast, ACC gyrus exhibits specialization for learning about others.
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.nature.com/articles/s41467-018-07231-9 Abstract (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-07231-9
Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/
DOI: 10.1038/s41467-018-07231-9
Access Statistics for this article
Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie
More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().