English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  Placebo analgesia: A predictive coding perspective

Büchel, C., Geuter, S., Sprenger, C., & Eippert, F. (2014). Placebo analgesia: A predictive coding perspective. Neuron, 81(6), 1223-1239. doi:10.1016/j.neuron.2014.02.042.

Item is

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Büchel, Christian1, Author
Geuter, Stephan1, Author
Sprenger, Christian1, Author
Eippert, Falk1, Author           
Affiliations:
1External Organizations, ou_persistent22              

Content

show
hide
Free keywords: -
 Abstract: This Perspective reviews recent findings in placebo hypoalgesia and provides a conceptual account of how expectations and experience can lead to placebo hypoalgesia. In particular, we put forward the idea that the ascending and the descending pain system resembles a recurrent system that allows for the implementation of predictive coding—meaning that the brain is not passively waiting for nociceptive stimuli to impinge on it but is actively making inferences based on prior experience and expectations. The Bayesian formulation within the predictive coding framework can directly account for differences in the magnitude but also the precision of expectations that are known to influence the strength of placebo hypoalgesia. We discuss how modulatory neurotransmitters such as opioids might be related to the characterization of expectations with an emphasis on the precision of these expectations. Finally, we develop experimental strategies that are suited to test this framework at the behavioral and neuronal level.

Details

show
hide
Language(s): eng - English
 Dates: 2014-03-192014-03-19
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.neuron.2014.02.042
PMID: 24656247
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Neuron
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Cambridge, Mass. : Cell Press
Pages: - Volume / Issue: 81 (6) Sequence Number: - Start / End Page: 1223 - 1239 Identifier: ISSN: 0896-6273
CoNE: https://pure.mpg.de/cone/journals/resource/954925560565