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An fMRI Study Exploring the Overlap and Differences between Neural Representations of Physical and Recalled Pain

Overview of attention for article published in PLOS ONE, October 2012
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Title
An fMRI Study Exploring the Overlap and Differences between Neural Representations of Physical and Recalled Pain
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0048711
Pubmed ID
Authors

Merle Fairhurst, Katherine Fairhurst, Chantal Berna, Irene Tracey

Abstract

Implementing a recall paradigm without hypnosis, we use functional MRI (fMRI) to explore and compare nociceptive and centrally-driven pain experiences. We posit that a trace of a recent nociceptive event can be used to create sensory-re-experiencing of pain that can be qualified in terms of intensity and vividness. Fifteen healthy volunteers received three levels of thermal stimuli (warm, low pain and high pain) and subsequently were asked to recall and then rate this experience. Neuroimaging results reveal that recalling a previous sensory experience activates an extensive network of classical pain processing structures except the contralateral posterior insular cortex. Nociceptive-specific activation of this structure and the rated intensity difference between physical and recalled pain events allow us to investigate the link between the quality of the original nociceptive stimulus and the mental trace, as well as the differences between the accompanying neural responses. Additionally, by incorporating the behavioural ratings, we explored which brain regions were separately responsible for generating either an accurate or vivid recall of the physical experience. Together, these observations further our understanding of centrally-mediated pain experiences and pain memory as well as the potential relevance of these factors in the maintenance of chronic pain.

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The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Chile 1 <1%
United States 1 <1%
Unknown 103 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 21%
Researcher 13 12%
Student > Master 13 12%
Student > Bachelor 10 9%
Student > Doctoral Student 7 7%
Other 25 24%
Unknown 16 15%
Readers by discipline Count As %
Medicine and Dentistry 26 25%
Psychology 25 24%
Neuroscience 9 8%
Agricultural and Biological Sciences 6 6%
Computer Science 5 5%
Other 14 13%
Unknown 21 20%