Repeated pain induces adaptations of intrinsic brain activity to reflect past and predict future pain

Valentin Riedl, Michael Valet, Andreas Wöller, Christian Sorg, Dominik Vogel, Till Sprenger, Henning Boecker, Afra M. Wohlschläger, Thomas R. Tölle

Research output: Contribution to journalArticlepeer-review

44 Scopus citations

Abstract

Recent neuroimaging studies have revealed a persistent architecture of intrinsic connectivity networks (ICNs) in the signal of functional magnetic resonance imaging (fMRI) of humans and other species. ICNs are characterized by coherent ongoing activity between distributed brain regions during rest, in the absence of externally oriented behavior. While these networks strongly reflect anatomical connections, the relevance of ICN activity for human behavior remains unclear. Here, we investigated whether intrinsic brain activity adapts to repeated pain and encodes an individual's experience. Healthy subjects received a short episode of heat pain on 11 consecutive days. Across this period, subjects either habituated or sensitized to the painful stimulation. This adaptation was reflected in plasticity of a sensorimotor ICN (SMN) comprising pain related brain regions: coherent intrinsic activity of the somatosensory cortex retrospectively mirrored pain perception; on day 11, intrinsic activity of the prefrontal cortex was additionally synchronized with the SMN and predicted whether an individual would experience more or less pain during upcoming stimulation. Other ICNs of the intrinsic architecture remained unchanged. Due to the ubiquitous occurrence of ICNs in several species, we suggest intrinsic brain activity as an integrative mechanism reflecting accumulated experiences.

Original languageEnglish
Pages (from-to)206-213
Number of pages8
JournalNeuroImage
Volume57
Issue number1
DOIs
StatePublished - 1 Jul 2011
Externally publishedYes

Keywords

  • Intrinsic brain activity
  • Intrinsic connectivity network
  • Learning
  • Memory
  • Pain
  • Plasticity
  • Prediction
  • Resting state

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