The neural dynamics of positive and negative expectations of pain

  1. Christoph Arne Wittkamp
  2. Maren-Isabel Wolf
  3. Michael Rose  Is a corresponding author
  1. Department of Systems Neuroscience, University Medical Center Hamburg Eppendorf, Germany
7 figures, 2 tables and 2 additional files

Figures

Experimental Procedure.

Structure of the experiment including pre-measurements and the main experiment. Expectations were generated using a sham brain-computer interface (BCI), i.e., participants were told that they would receive real-time feedback regarding their pain sensitivity (verbal instructions) and experienced the validity of this feedback (conditioning). In the conditioning phase, green cues were paired with lower pain intensities compared to red cues unbeknownst to the participants. In the test phase, the stimulation temperature was always the same, regardless of the cue. The presentation of the condition cue varied from trial to trial.

Expectation ratings, pain ratings, and skin conductance response by condition.

Mean expectation (A) and pain ratings (B) on a visual analogue scale separately for each condition (n = 50). (C) Mean skin conductance responses in the three conditions (n = 26). White dots = mean, horizontal lines = median, thick gray vertical lines = upper and lower quartile, coloured dots = pain ratings of individual participants per condition.*p<0.05. **p<0.01. ***p<0.001.

Stimulus intensity independent pain signature (SIIPS) scores by condition.

(A) Mean SIIPS score per condition for all time-points during pain perception. White dots = mean, horizontal lines = median, thick gray vertical lines = upper and lower quartile, coloured dots = pain ratings of individual participants per condition. *p<0.05. **p<0.01. ***p<0.001. (B) Mean SIIPS score per condition plotted over the duration of the whole trial. The mean SIIPS scores shown in A were extracted from the gray-marked period. n = 45.

Differentiation of effects during the anticipation and pain phase.

(A) Top: Common effects during pain anticipation (expectation > neutral expectation) at p<0.001 (uncorrected for display purposes) show widespread higher activity for both positive and negative expectations compared to the control condition. Bottom: Distinct effects (positive > negative) during pain perception are shown, indicating broadly higher activity for positive compared to negative expectations. (B) Left: For selected areas, the overlap between common effects of expectations during the anticipation phase (yellow) and distinct effects of positive and negative expectations during the pain phase (green) in the respective area is shown. Right: The corresponding activation levels of positive and negative expectations (i.e. beta weights from the finite impulse response (FIR) model) baselined by the control condition are plotted for each phase at the respective peaks (peak coordinates in parentheses). The visualization highlights the differentiation of effects following the onset of pain. n = 45.

Representation of expectations in the angular gyrus.

(A) Overlap between common effects of expectations during the anticipation phase (expectation > neutral expectation; yellow) and distinct effects of positive and negative expectations during the pain phase (positive > negative; green) is shown for the angular gyrus at p<0.001 (uncorrected for display purposes). (B) The corresponding activation levels of positive and negative expectations (i.e. beta weights from the finite impulse response (FIR) model) baselined by the control condition are plotted for each phase at the respective peaks (peak coordinates in parentheses). n = 45.

Relation of fMRI activity with EEG oscillatory power.

Correlation of single-trial hemodynamic responses with time-frequency resolved EEG activity in the left dorsolateral prefrontal cortex (DLPFC) (A), left anterior insula (B), and right anterior cingulate cortex (ACC) (C) during the anticipation phase, ordered by the timing of observed correlations as indicated by the arrow on the right. Single-trial beta weights were extracted from spherical ROIs (10 mm radius) centered around the peak voxels based on the comparison of beta weights from the finite impulse response (FIR) model between expectation and neutral expectation during the anticipation phase, as shown on the left (p<0.001 uncorrected for display purposes). On the right, the cluster-corrected correlation of oscillatory power with fMRI activity averaged over all cluster electrodes is depicted. Non-significant time-frequency points are masked (n = 41).

Author response image 1
Variability within conditions over time.

Relative variability index for expectation (left) and pain ratings (right) per condition and measurement block.

Tables

Key resources table
Reagent type (species) or resourceDesignationSource or referenceIdentifiersAdditional information
software, algorithmMatlab (2021b)mathworks.comRRID:SCR_001622
software, algorithmSPM 12 (7771)https://www.fil.ion.ucl.ac.uk/spm/RRID:SCR_007037
software, algorithmLedalab (V3.4.9)http://ledalab.de/
software, algorithmJASP (0.18.3)https://jasp-stats.org/RRID:SCR_015823
Table 1
Characteristics of study participants.
MeanSDRangeNumber (%)
Gender
Male18 (36%)
Female32 (64%)
Age (years)25.43.518–34
FOP
Severe Pain36.55.422–47
Minor Pain18.94.910–33
Medical Pain25.86.412–42
STADI
Anxiety15.24.110–28
Depression17.03.211–25
Global Score32.25.123–43
BDI-II Global Score6.03.80–16
  1. Note. STADI = State-Trait Anxiety Depression Inventory. FOP = Fear of Pain Questionnaire. BDI-II=Beck Depression Inventory-II.

Additional files

Supplementary file 1

Tables containing all fMRI contrasts and results from the combined EEG-fMRI analysis.

(a) Common effects of positive and negative expectations compared to control in the anticipation phase. (b) Differential activation for expectation compared to neutral expectation in the pain phase. (c) Differential activation between placebo and nocebo in the anticipation phase. (d) Activation for positive expectations compared to negative expectations in the pain phase. (e) Combined EEG-fMRI analysis.

https://cdn.elifesciences.org/articles/97793/elife-97793-supp1-v1.docx
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  1. Christoph Arne Wittkamp
  2. Maren-Isabel Wolf
  3. Michael Rose
(2024)
The neural dynamics of positive and negative expectations of pain
eLife 13:RP97793.
https://doi.org/10.7554/eLife.97793.3