Pain is what you think: functional magnetic resonance imaging evidence toward a cognitive and affective approach for pain research

Front Pain Res (Lausanne). 2024 Dec 10:5:1388460. doi: 10.3389/fpain.2024.1388460. eCollection 2024.

Abstract

The sensory/discriminative domain of pain is often given more consideration than the cognitive and affective influences that ultimately make pain what it is: a highly subjective experience that is based on an individual's life history and experiences. While many investigations of the underlying mechanisms of pain have focused on solely noxious stimuli, few have compared somatosensory stimuli that cross the boundary from innocuous to noxious. Of those that have, there is little consensus on the similarities and differences in neural signaling across these sensory domains. The purpose of this study was to apply our established network connectivity analyses toward the goal of understanding the neural mechanisms behind sensory, cognitive, and affective responses to noxious and innocuous stimuli. Functional MRI data were collected from 19 healthy women and men that experienced warm and hot thermal stimuli across multiple trials. This is a within-subjects cross-sectional experimental study with repeated measures. Ratings of stimulus intensity and unpleasantness that were collected during each run confirmed significant perceptual differences between the two types of stimuli. Despite this finding, no group differences in network connectivity were found across conditions. When individual differences related to pain ratings were investigated, subtle differences were found in connectivity that could be attributed to sensory and association regions in the innocuous condition, and cognitive, affective, and autonomic regions in the pain condition. These results were reflected in the time-course data for each condition. Overall, signaling mechanisms for innocuous and noxious somatosensation are intricately linked, but pain-specific perception appears to be driven by our psychological and autonomic states.

Keywords: Bayesian regression; affective pain modulation; cognitive pain modulation; fMRI; neural connectivity; structural equation modeling.

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. Funding was provided through the Natural Sciences and Engineering Research Council of Canada (NSERC grant number RGPIN/06221-2015).