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  1. The neural dynamics of positive and negative expectations of pain

    This article has 3 authors:
    1. Christoph A. Wittkamp
    2. Maren-Isabel Wolf
    3. Michael Rose
    This article has been curated by 1 group:
    • Curated by eLife

      eLife assessment

      Wittkamp et al. investigated the spatiotemporal dynamics of expectation of pain using an original fMRI-EEG approach. The methods are solid and the evidence for a substantially different neural representation between the anticipatory and the actual pain period is convincing. These important findings would benefit from a general framework to encompass their research questions, hypotheses, and interpretation of results. Furthermore, a more in-depth discussion about the choice of conditions would be desirable, specifically whether the definitions of nocebo and placebo in the study are comparable with traditional paradigms, and whether the control condition can be considered as a situation with no expectation or no prediction.

    Reviewed by eLife

    This article has 3 evaluationsAppears in 2 listsLatest version Latest activity
  2. Mimicking opioid analgesia in cortical pain circuits

    This article has 29 authors:
    1. Justin G. James
    2. Nora M. McCall
    3. Alex I. Hsu
    4. Corinna S. Oswell
    5. Gregory J. Salimando
    6. Malaika Mahmood
    7. Lisa M. Wooldridge
    8. Meghan Wachira
    9. Adrienne Jo
    10. Raquel Adaia Sandoval Ortega
    11. Jessica A. Wojick
    12. Katherine Beattie
    13. Sofia A. Farinas
    14. Samar N. Chehimi
    15. Amrith Rodrigues
    16. Lindsay L. Ejoh
    17. Blake A. Kimmey
    18. Emily Lo
    19. Ghalia Azouz
    20. Jose J. Vasquez
    21. Matthew R. Banghart
    22. Kate Townsend Creasy
    23. Kevin T. Beier
    24. Charu Ramakrishnan
    25. Richard C. Crist
    26. Benjamin C. Reiner
    27. Karl Deisseroth
    28. Eric A. Yttri
    29. Gregory Corder

    Reviewed by Arcadia Science

    This article has 1 evaluationAppears in 2 listsLatest version Latest activity
  3. Statistical learning shapes pain perception and prediction independently of external cues

    This article has 7 authors:
    1. Jakub Onysk
    2. Nicholas Gregory
    3. Mia Whitefield
    4. Maeghal Jain
    5. Georgia Turner
    6. Ben Seymour
    7. Flavia Mancini
    This article has been curated by 1 group:
    • Curated by eLife

      eLife assessment

      This study presents a valuable insight into a computational mechanism of pain perception. The evidence supporting the authors' claims is compelling. The work will be of interest to pain researchers working on computational models and cognitive mechanisms of pain in a Bayesian framework.

    Reviewed by eLife

    This article has 9 evaluationsAppears in 3 listsLatest version Latest activity