The periaqueductal gray and Bayesian integration in placebo analgesia
In placebo hypoalgesia research, the strength of treatment expectations and experiences are key components. However, the reliability or precision of expectations had been mostly ignored although being a likely source for interindividual differences. In the present study, we adopted a Bayesian framew...
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Format: | Article |
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eLife Sciences Publications Ltd
2018-03-01
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Series: | eLife |
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Online Access: | https://elifesciences.org/articles/32930 |
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author | Arvina Grahl Selim Onat Christian Büchel |
author_facet | Arvina Grahl Selim Onat Christian Büchel |
author_sort | Arvina Grahl |
collection | DOAJ |
description | In placebo hypoalgesia research, the strength of treatment expectations and experiences are key components. However, the reliability or precision of expectations had been mostly ignored although being a likely source for interindividual differences. In the present study, we adopted a Bayesian framework, naturally combining expectation magnitudes and precisions. This postulates that expectations (prior) are integrated with incoming nociceptive information (likelihood) and both are weighted by their relative precision to form the pain percept and placebo effect. Sixty-two healthy subjects received heat pain during fMRI. Placebo effects were more pronounced in subjects with more precise treatment expectations and correlated positively with the relative precision of the prior expectation. Neural correlates of this precision were observed in the periaqueductal gray and the rostral ventromedial medulla, indicating that already at the level of the brainstem the precision of an expectation can influence pain perception presenting strong evidence for Bayesian integration in placebo hypoalgesia. |
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institution | Directory Open Access Journal |
issn | 2050-084X |
language | English |
last_indexed | 2024-04-12T12:16:00Z |
publishDate | 2018-03-01 |
publisher | eLife Sciences Publications Ltd |
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series | eLife |
spelling | doaj.art-bb0952a95d7e47939dc518b82770148e2022-12-22T03:33:26ZengeLife Sciences Publications LtdeLife2050-084X2018-03-01710.7554/eLife.32930The periaqueductal gray and Bayesian integration in placebo analgesiaArvina Grahl0https://orcid.org/0000-0002-9699-6329Selim Onat1https://orcid.org/0000-0002-4782-5603Christian Büchel2https://orcid.org/0000-0003-1965-906XDepartment of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, GermanyDepartment of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, GermanyDepartment of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, GermanyIn placebo hypoalgesia research, the strength of treatment expectations and experiences are key components. However, the reliability or precision of expectations had been mostly ignored although being a likely source for interindividual differences. In the present study, we adopted a Bayesian framework, naturally combining expectation magnitudes and precisions. This postulates that expectations (prior) are integrated with incoming nociceptive information (likelihood) and both are weighted by their relative precision to form the pain percept and placebo effect. Sixty-two healthy subjects received heat pain during fMRI. Placebo effects were more pronounced in subjects with more precise treatment expectations and correlated positively with the relative precision of the prior expectation. Neural correlates of this precision were observed in the periaqueductal gray and the rostral ventromedial medulla, indicating that already at the level of the brainstem the precision of an expectation can influence pain perception presenting strong evidence for Bayesian integration in placebo hypoalgesia.https://elifesciences.org/articles/32930placebo analgesiapainPAGfMRIprecisionBayesian |
spellingShingle | Arvina Grahl Selim Onat Christian Büchel The periaqueductal gray and Bayesian integration in placebo analgesia eLife placebo analgesia pain PAG fMRI precision Bayesian |
title | The periaqueductal gray and Bayesian integration in placebo analgesia |
title_full | The periaqueductal gray and Bayesian integration in placebo analgesia |
title_fullStr | The periaqueductal gray and Bayesian integration in placebo analgesia |
title_full_unstemmed | The periaqueductal gray and Bayesian integration in placebo analgesia |
title_short | The periaqueductal gray and Bayesian integration in placebo analgesia |
title_sort | periaqueductal gray and bayesian integration in placebo analgesia |
topic | placebo analgesia pain PAG fMRI precision Bayesian |
url | https://elifesciences.org/articles/32930 |
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