Author
Listed:
- Laura Tiemann
- Felix S Bott
- Elisabeth S May
- Moritz M Nickel
- Vanessa D Hohn
- Cristina Gil Ávila
- Nicolò Bruna
- Paul Theo Zebhauser
- Markus Ploner
Abstract
The perception of pain varies both within and between individuals, even when sensory input remains constant. Understanding how the brain encodes these intra- and inter-individual variations is central to elucidating the neural mechanisms of pain and to developing reliable brain-based markers for clinical use. Yet, previous findings have been inconsistent, and their robustness across time and populations remains unclear. Here, we used electroencephalography (EEG) in 161 healthy participants to re-investigate the neural patterns explaining intra- and inter-individual variations in the perception of brief painful stimuli independent of stimulus intensity. Using Bayesian multivariate multi-model regression, we related pain ratings to canonical EEG responses. To directly assess robustness, the experiment was repeated after 4 weeks in the same participants and replicated in an independent cohort (n = 111). Neural patterns associated with inter-individual differences in pain perception were repeatable over time but not replicable across cohorts. In contrast, neural patterns underlying intra-individual fluctuations were robust both over time and across cohorts. These findings indicate that within-person and between-person variability in pain perception is encoded by distinct neural patterns that differ fundamentally in their robustness. Furthermore, they show that brain-based markers are particularly suited for tracking intra-individual fluctuations of pain, while being less sensitive to inter-individual differences. More broadly, they highlight the importance of within-person approaches for advancing both mechanistic models of pain and the development of clinically useful biomarkers.Pain varies both within and between individuals, even when sensory input remains constant. This study shows that brain signals robustly track intra-individual pain fluctuations, but are less sensitive to inter-individual differences, with implications for modeling and measuring pain.
Suggested Citation
Laura Tiemann & Felix S Bott & Elisabeth S May & Moritz M Nickel & Vanessa D Hohn & Cristina Gil Ávila & Nicolò Bruna & Paul Theo Zebhauser & Markus Ploner, 2026.
"Neural encoding of pain is robust within but unstable between individuals,"
PLOS Biology, Public Library of Science, vol. 24(8), pages 1-22, August.
Handle:
RePEc:plo:pbio00:3003948
DOI: 10.1371/journal.pbio.3003948
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pbio00:3003948. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosbiology (email available below). General contact details of provider: https://journals.plos.org/plosbiology/ .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.