Divergent association between pain intensity and resting-state fMRI-based brain entropy in different age groups

Gianpaolo Del Mauro, Landrew Samuel Sevel, Jeff Boissoneault, Ze Wang

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Pain is a multidimensional subjective experience sustained by multiple brain regions involved in different aspects of pain experience. We used brain entropy (BEN) estimated from resting-state fMRI (rsfMRI) data to investigate the neural correlates of pain experience. BEN was estimated from rs-fMRI data provided by two datasets with different age range: the Human Connectome Project-Young Adult (HCP-YA) and the Human Connectome project-Aging (HCP-A) datasets. Retrospective assessment of experienced pain intensity was retrieved from both datasets. No main effect of pain intensity was observed. The interaction between pain and age, however, was related to increased BEN in several pain-related brain regions, reflecting greater variability of spontaneous brain activity. Dividing the sample into a young adult group (YG) and a middle age-aging group (MAG) resulted in two divergent patterns of pain–BEN association: In the YG, pain intensity was related to reduced BEN in brain regions involved in the sensory processing of pain; in the MAG, pain was associated with increased BEN in areas related to both sensory and cognitive aspects of pain experience.

Original languageEnglish (US)
Article numbere25341
JournalJournal of Neuroscience Research
Volume102
Issue number5
DOIs
StatePublished - May 2024

Bibliographical note

Publisher Copyright:
© 2024 Wiley Periodicals LLC.

Keywords

  • aging
  • brain entropy
  • pain
  • resting-state fMRI

PubMed: MeSH publication types

  • Journal Article

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