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Decoding the perception of pain from fMRI using multivariate pattern analysis

Pain is known to comprise sensory, cognitive, and affective aspects. Despite numerous previous fMRI studies, however, it remains open which spatial distribution of activity is sufficient to encode whether a stimulus is perceived as painful or not. In this study, we analyzed fMRI data from a perceptu...

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Autores principales: Brodersen, Kay H., Wiech, Katja, Lomakina, Ekaterina I., Lin, Chia-shu, Buhmann, Joachim M., Bingel, Ulrike, Ploner, Markus, Stephan, Klaas Enno, Tracey, Irene
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academic Press 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3532598/
https://www.ncbi.nlm.nih.gov/pubmed/22922369
http://dx.doi.org/10.1016/j.neuroimage.2012.08.035
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author Brodersen, Kay H.
Wiech, Katja
Lomakina, Ekaterina I.
Lin, Chia-shu
Buhmann, Joachim M.
Bingel, Ulrike
Ploner, Markus
Stephan, Klaas Enno
Tracey, Irene
author_facet Brodersen, Kay H.
Wiech, Katja
Lomakina, Ekaterina I.
Lin, Chia-shu
Buhmann, Joachim M.
Bingel, Ulrike
Ploner, Markus
Stephan, Klaas Enno
Tracey, Irene
author_sort Brodersen, Kay H.
collection PubMed
description Pain is known to comprise sensory, cognitive, and affective aspects. Despite numerous previous fMRI studies, however, it remains open which spatial distribution of activity is sufficient to encode whether a stimulus is perceived as painful or not. In this study, we analyzed fMRI data from a perceptual decision-making task in which participants were exposed to near-threshold laser pulses. Using multivariate analyses on different spatial scales, we investigated the predictive capacity of fMRI data for decoding whether a stimulus had been perceived as painful. Our analysis yielded a rank order of brain regions: during pain anticipation, activity in the periaqueductal gray (PAG) and orbitofrontal cortex (OFC) afforded the most accurate trial-by-trial discrimination between painful and non-painful experiences; whereas during the actual stimulation, primary and secondary somatosensory cortex, anterior insula, dorsolateral and ventrolateral prefrontal cortex, and OFC were most discriminative. The most accurate prediction of pain perception from the stimulation period, however, was enabled by the combined activity in pain regions commonly referred to as the ‘pain matrix’. Our results demonstrate that the neural representation of (near-threshold) pain is spatially distributed and can be best described at an intermediate spatial scale. In addition to its utility in establishing structure-function mappings, our approach affords trial-by-trial predictions and thus represents a step towards the goal of establishing an objective neuronal marker of pain perception.
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spelling pubmed-35325982012-12-31 Decoding the perception of pain from fMRI using multivariate pattern analysis Brodersen, Kay H. Wiech, Katja Lomakina, Ekaterina I. Lin, Chia-shu Buhmann, Joachim M. Bingel, Ulrike Ploner, Markus Stephan, Klaas Enno Tracey, Irene Neuroimage Article Pain is known to comprise sensory, cognitive, and affective aspects. Despite numerous previous fMRI studies, however, it remains open which spatial distribution of activity is sufficient to encode whether a stimulus is perceived as painful or not. In this study, we analyzed fMRI data from a perceptual decision-making task in which participants were exposed to near-threshold laser pulses. Using multivariate analyses on different spatial scales, we investigated the predictive capacity of fMRI data for decoding whether a stimulus had been perceived as painful. Our analysis yielded a rank order of brain regions: during pain anticipation, activity in the periaqueductal gray (PAG) and orbitofrontal cortex (OFC) afforded the most accurate trial-by-trial discrimination between painful and non-painful experiences; whereas during the actual stimulation, primary and secondary somatosensory cortex, anterior insula, dorsolateral and ventrolateral prefrontal cortex, and OFC were most discriminative. The most accurate prediction of pain perception from the stimulation period, however, was enabled by the combined activity in pain regions commonly referred to as the ‘pain matrix’. Our results demonstrate that the neural representation of (near-threshold) pain is spatially distributed and can be best described at an intermediate spatial scale. In addition to its utility in establishing structure-function mappings, our approach affords trial-by-trial predictions and thus represents a step towards the goal of establishing an objective neuronal marker of pain perception. Academic Press 2012-11-15 /pmc/articles/PMC3532598/ /pubmed/22922369 http://dx.doi.org/10.1016/j.neuroimage.2012.08.035 Text en © 2012 Elsevier Inc. https://creativecommons.org/licenses/by/3.0/ Open Access under CC BY 3.0 (https://creativecommons.org/licenses/by/3.0/) license
spellingShingle Article
Brodersen, Kay H.
Wiech, Katja
Lomakina, Ekaterina I.
Lin, Chia-shu
Buhmann, Joachim M.
Bingel, Ulrike
Ploner, Markus
Stephan, Klaas Enno
Tracey, Irene
Decoding the perception of pain from fMRI using multivariate pattern analysis
title Decoding the perception of pain from fMRI using multivariate pattern analysis
title_full Decoding the perception of pain from fMRI using multivariate pattern analysis
title_fullStr Decoding the perception of pain from fMRI using multivariate pattern analysis
title_full_unstemmed Decoding the perception of pain from fMRI using multivariate pattern analysis
title_short Decoding the perception of pain from fMRI using multivariate pattern analysis
title_sort decoding the perception of pain from fmri using multivariate pattern analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3532598/
https://www.ncbi.nlm.nih.gov/pubmed/22922369
http://dx.doi.org/10.1016/j.neuroimage.2012.08.035
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