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Predictive dynamics of human pain perception.

Guillermo A Cecchi | Lejian Huang | Javeria Ali Hashmi | Marwan Baliki | María V Centeno | Irina Rish | A Vania Apkarian
PLoS computational biology | 2012

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.

Pubmed ID: 23133342

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Associated grants

  • Agency: NINDS NIH HHS, United States
    Id: R01 NS035115
  • Agency: NINDS NIH HHS, United States
    Id: NS35115

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FSL (tool)

RRID:SCR_002823

Software library of image analysis and statistical tools for fMRI, MRI and DTI brain imaging data. Include registration, atlases, diffusion MRI tools for parameter reconstruction and probabilistic taractography, and viewer. Several brain atlases, integrated into FSLView and Featquery, allow viewing of structural and cytoarchitectonic standard space labels and probability maps for cortical and subcortical structures and white matter tracts. Includes Harvard-Oxford cortical and subcortical structural atlases, Julich histological atlas, JHU DTI-based white-matter atlases, Oxford thalamic connectivity atlas, Talairach atlas, MNI structural atlas, and Cerebellum atlas.

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