Predictive dynamics of human pain perception.
While the static magnitude of thermal pain perception has been shown to follow a power-law function of the temperature, its dynamical features have been largely overlooked. Due to the slow temporal experience of pain, multiple studies now show that the time evolution of its magnitude can be captured...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2012-01-01
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| Series: | PLoS Computational Biology |
| Online Access: | https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1002719&type=printable |
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| _version_ | 1850023878130139136 |
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| author | Guillermo A Cecchi Lejian Huang Javeria Ali Hashmi Marwan Baliki María V Centeno Irina Rish A Vania Apkarian |
| author_facet | Guillermo A Cecchi Lejian Huang Javeria Ali Hashmi Marwan Baliki María V Centeno Irina Rish A Vania Apkarian |
| author_sort | Guillermo A Cecchi |
| collection | DOAJ |
| description | While the static magnitude of thermal pain perception has been shown to follow a power-law function of the temperature, its dynamical features have been largely overlooked. Due to the slow temporal experience of pain, multiple studies now show that the time evolution of its magnitude can be captured with continuous online ratings. Here we use such ratings to model quantitatively the temporal dynamics of thermal pain perception. We show that a differential equation captures the details of the temporal evolution in pain ratings in individual subjects for different stimulus pattern complexities, and also demonstrates strong predictive power to infer pain ratings, including readouts based only on brain functional images. |
| format | Article |
| id | doaj-art-4623ee1eb7ca4598b34b0b99f186bca6 |
| institution | DOAJ |
| issn | 1553-734X 1553-7358 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Computational Biology |
| spelling | doaj-art-4623ee1eb7ca4598b34b0b99f186bca62025-08-20T03:01:15ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582012-01-01810e100271910.1371/journal.pcbi.1002719Predictive dynamics of human pain perception.Guillermo A CecchiLejian HuangJaveria Ali HashmiMarwan BalikiMaría V CentenoIrina RishA Vania ApkarianWhile the static magnitude of thermal pain perception has been shown to follow a power-law function of the temperature, its dynamical features have been largely overlooked. Due to the slow temporal experience of pain, multiple studies now show that the time evolution of its magnitude can be captured with continuous online ratings. Here we use such ratings to model quantitatively the temporal dynamics of thermal pain perception. We show that a differential equation captures the details of the temporal evolution in pain ratings in individual subjects for different stimulus pattern complexities, and also demonstrates strong predictive power to infer pain ratings, including readouts based only on brain functional images.https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1002719&type=printable |
| spellingShingle | Guillermo A Cecchi Lejian Huang Javeria Ali Hashmi Marwan Baliki María V Centeno Irina Rish A Vania Apkarian Predictive dynamics of human pain perception. PLoS Computational Biology |
| title | Predictive dynamics of human pain perception. |
| title_full | Predictive dynamics of human pain perception. |
| title_fullStr | Predictive dynamics of human pain perception. |
| title_full_unstemmed | Predictive dynamics of human pain perception. |
| title_short | Predictive dynamics of human pain perception. |
| title_sort | predictive dynamics of human pain perception |
| url | https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1002719&type=printable |
| work_keys_str_mv | AT guillermoacecchi predictivedynamicsofhumanpainperception AT lejianhuang predictivedynamicsofhumanpainperception AT javeriaalihashmi predictivedynamicsofhumanpainperception AT marwanbaliki predictivedynamicsofhumanpainperception AT mariavcenteno predictivedynamicsofhumanpainperception AT irinarish predictivedynamicsofhumanpainperception AT avaniaapkarian predictivedynamicsofhumanpainperception |