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  Temporal–spectral signaling of sensory information and expectations in the cerebral processing of pain

Nickel, M. M., Tiemann, L., Hohn, V. D., May, E. S., Gil Ávila, C., Eippert, F., et al. (2022). Temporal–spectral signaling of sensory information and expectations in the cerebral processing of pain. Proceedings of the National Academy of Sciences of the United States of America, 119(1): e2116616119. doi:10.1073/pnas.2116616119.

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 Creators:
Nickel, Moritz M.1, 2, Author
Tiemann, Laura1, 2, Author
Hohn, Vanessa D.1, 2, Author
May, Elisabeth S.1, 2, Author
Gil Ávila, Cristina1, 2, Author
Eippert, Falk3, Author              
Ploner, Markus1, 2, 4, Author
Affiliations:
1Department of Neurology, School of Medicine, TU Munich, Germany, ou_persistent22              
2Neuroimaging Center (TUM-NIC), TU Munich, Germany, ou_persistent22              
3Max Planck Research Group Pain Perception, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2497695              
4Center for Interdisciplinary Pain Medicine, TU Munich, Germany, ou_persistent22              

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Free keywords: Brain; Electroencephalography; Oscillations; Pain; Predictive coding
 Abstract: The perception of pain is shaped by somatosensory information about threat. However, pain is also influenced by an individual's expectations. Such expectations can result in clinically relevant modulations and abnormalities of pain. In the brain, sensory information, expectations (predictions), and discrepancies thereof (prediction errors) are signaled by an extended network of brain areas which generate evoked potentials and oscillatory responses at different latencies and frequencies. However, a comprehensive picture of how evoked and oscillatory brain responses signal sensory information, predictions, and prediction errors in the processing of pain is lacking so far. Here, we therefore applied brief painful stimuli to 48 healthy human participants and independently modulated sensory information (stimulus intensity) and expectations of pain intensity while measuring brain activity using electroencephalography (EEG). Pain ratings confirmed that pain intensity was shaped by both sensory information and expectations. In contrast, Bayesian analyses revealed that stimulus-induced EEG responses at different latencies (the N1, N2, and P2 components) and frequencies (alpha, beta, and gamma oscillations) were shaped by sensory information but not by expectations. Expectations, however, shaped alpha and beta oscillations before the painful stimuli. These findings indicate that commonly analyzed EEG responses to painful stimuli are more involved in signaling sensory information than in signaling expectations or mismatches of sensory information and expectations. Moreover, they indicate that the effects of expectations on pain are served by brain mechanisms which differ from those conveying effects of sensory information on pain.

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Language(s): eng - English
 Dates: 2021-09-102021-11-222022-01-042022-01-04
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1073/pnas.2116616119
PMID: 34983852
PMC: PMC8740684
 Degree: -

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Project name : -
Grant ID : PL 321/14-1
Funding program : -
Funding organization : Deutsche Forschungsgemeinschaft
Project name : -
Grant ID : 758974
Funding program : Horizon 2020
Funding organization : European Research Council

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Title: Proceedings of the National Academy of Sciences of the United States of America
  Other : PNAS
  Other : Proceedings of the National Academy of Sciences of the USA
  Abbreviation : Proc. Natl. Acad. Sci. U. S. A.
Source Genre: Journal
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Publ. Info: Washington, D.C. : National Academy of Sciences
Pages: - Volume / Issue: 119 (1) Sequence Number: e2116616119 Start / End Page: - Identifier: ISSN: 0027-8424
CoNE: https://pure.mpg.de/cone/journals/resource/954925427230