Liang, M;
Su, Q;
Mouraux, A;
Iannetti, GD;
(2019)
Spatial Patterns of Brain Activity Preferentially Reflecting Transient Pain and Stimulus Intensity.
Cerebral Cortex
, 29
(5)
pp. 2211-2227.
10.1093/cercor/bhz026.
Preview |
Text
Liang_Spatial Patterns of Brain Activity Preferentially Reflecting Transient Pain and Stimulus Intensity_VoR.pdf - Published Version Download (1MB) | Preview |
Abstract
How pain emerges in the human brain remains an unresolved question. Neuroimaging studies have suggested that several brain areas subserve pain perception because their activation correlates with perceived pain intensity. However, painful stimuli are often intense and highly salient; therefore, using both intensity- and saliency-matched control stimuli is crucial to isolate pain-selective brain responses. Here, we used these intensity/saliency-matched painful and non-painful stimuli to test whether pain-selective information can be isolated in the functional magnetic resonance imaging responses elicited by painful stimuli. Using two independent datasets, multivariate pattern analysis was able to isolate features distinguishing the responses triggered by (1) intensity/saliency-matched painful versus non-painful stimuli, and (2) high versus low-intensity/saliency stimuli regardless of whether they elicit pain. This indicates that neural activity in the so-called "pain matrix" is functionally heterogeneous, and part of it carries information related to both painfulness and intensity/saliency. The response features distinguishing these aspects are spatially distributed and cannot be ascribed to specific brain structures.
Type: | Article |
---|---|
Title: | Spatial Patterns of Brain Activity Preferentially Reflecting Transient Pain and Stimulus Intensity |
Location: | United States |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1093/cercor/bhz026 |
Publisher version: | https://doi.org/10.1093/cercor/bhz026 |
Language: | English |
Additional information: | © The Author(s) 2019. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/). |
Keywords: | fMRI, multivariate pattern analysis, pain, pain matrix, saliency |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Neuro, Physiology and Pharmacology |
URI: | https://discovery.ucl.ac.uk/id/eprint/10075345 |
Archive Staff Only
View Item |