A distributed brain response predicting the facial expression of acute nociceptive pain
- Department of Psychology, Université de Montréal, Canada
- Centre de recherche de l’institut universitaire de gériatrie de Montréal, Canada
- Department of medical psychology and sociology, Medical faculty, University of Augsburg, Germany
- School of Psychology, Université Laval, Canada
- Faculty of Dentistry, McGill University, Canada
- Department of Anesthesia, McGill University, Canada
- Alan Edwards Centre for Research on Pain, McGill University, Canada
- Department of Psychological and Brain Sciences, Dartmouth College, United States
- Stomatology Department, Faculté de médecine dentaire, Université de Montréal, Canada
Figures
Figure 1 with 3 supplements
Facial expression of pain signature (FEPS): a brain signature of the facial expression of pain.
(A) Relationship between the actual and the predicted facial action coding system (FACS) composite scores for each cross-validation fold. (B) Distribution of the Pearson’s r scores across the …
Figure 1—figure supplement 1
Behavioral scores across trials.
(A) Fluctuations in the log-transformed facial action coding system (FACS) composite scores across trials in the two runs (shaded areas represent the standard deviation). There was no significant …
Figure 1—figure supplement 2
Predictive performance of the M1-based model.
(A) Relationship between the actual and the predicted facial action coding system (FACS) composite scores for each cross-validation fold (k=10) using only the activity from the primary motor cortex …
Figure 1—figure supplement 3
Facial expression of pain signature (FEPS) pattern expression and pain facial expression.
(A) FEPS pattern expression scores significantly predict the log-transformed facial action coding system (FACS) scores. Each point represents a trial in the pain condition (n=533). (B) Distribution …
Figure 2
Spatial similarity between the facial expression of pain signature (FEPS) and other pain-related signatures.
(A) Pattern similarity between the FEPS and other pain-related brain signatures using the weights of the full brain patterns. Pattern similarities were computed at the voxel level using the cosine …
Additional files
-
Supplementary file 1
Supplementary tables.
(A) Peak regions with positive weights contributing to the prediction of the facial expression scores. (B) Peak regions with negative weights contributing to the prediction of the facial expression scores. (C) Mixed-effect model results for the effect of pain ratings on the logarithmic transformed facial action coding system (FACS) scores. (D) Mixed-effect model results for the effect of runs and trials on the logarithmic transformed FACS scores. (E) Mixed-effect model results for the effect of runs and trials on the pain ratings. (F) Mixed-effect model results for the effect of the facial expression of pain signature (FEPS) expression scores and the pain ratings on the logarithmic transformed FACS scores.
- https://cdn.elifesciences.org/articles/87962/elife-87962-supp1-v1.docx
-
MDAR checklist
- https://cdn.elifesciences.org/articles/87962/elife-87962-mdarchecklist1-v1.pdf
