TY - JOUR
T1 - Multiple brain networks mediating stimulus-pain relationships in humans
AU - Geuter, Stephan
AU - Reynolds Losin, Elizabeth A.
AU - Roy, Mathieu
AU - Atlas, Lauren Y.
AU - Schmidt, Liane
AU - Krishnan, Anjali
AU - Koban, Leonie
AU - Wager, Tor D.
AU - Lindquist, Martin A.
N1 - Publisher Copyright:
© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: [email protected]
PY - 2021
Y1 - 2021
N2 - The brain transforms nociceptive input into a complex pain experience comprised of sensory, affective, motivational, and cognitive components. However, it is still unclear how pain arises from nociceptive input and which brain networks coordinate to generate pain experiences. We introduce a new high-dimensional mediation analysis technique to estimate distributed, network-level patterns that formally mediate the relationship between stimulus intensity and pain. We applied the model to a large-scale analysis of functional magnetic resonance imaging data (N = 284), focusing on brain mediators of the relationship between noxious stimulus intensity and trial-to-trial variation in pain reports. We identify mediators in both traditional nociceptive pathways and in prefrontal, midbrain, striatal, and default-mode regions unrelated to nociception in standard analyses. The whole-brain mediators are specific for pain versus aversive sounds and are organized into five functional networks. Brain mediators predicted pain ratings better than previous brain measures, including the neurologic pain signature (Wager et al. 2013). Our results provide a broader view of the networks underlying pain experience, as well as novel brain targets for interventions.
AB - The brain transforms nociceptive input into a complex pain experience comprised of sensory, affective, motivational, and cognitive components. However, it is still unclear how pain arises from nociceptive input and which brain networks coordinate to generate pain experiences. We introduce a new high-dimensional mediation analysis technique to estimate distributed, network-level patterns that formally mediate the relationship between stimulus intensity and pain. We applied the model to a large-scale analysis of functional magnetic resonance imaging data (N = 284), focusing on brain mediators of the relationship between noxious stimulus intensity and trial-to-trial variation in pain reports. We identify mediators in both traditional nociceptive pathways and in prefrontal, midbrain, striatal, and default-mode regions unrelated to nociception in standard analyses. The whole-brain mediators are specific for pain versus aversive sounds and are organized into five functional networks. Brain mediators predicted pain ratings better than previous brain measures, including the neurologic pain signature (Wager et al. 2013). Our results provide a broader view of the networks underlying pain experience, as well as novel brain targets for interventions.
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U2 - 10.1093/CERCOR/BHAA048
DO - 10.1093/CERCOR/BHAA048
M3 - Article
C2 - 32219311
AN - SCOPUS:85085904590
SN - 1047-3211
VL - 30
SP - 4204
EP - 4219
JO - Cerebral Cortex
JF - Cerebral Cortex
IS - 7
ER -