Multiple Functional Brain Networks Related to Pain Perception Revealed by fMRI
Autor: | Nicole Sanford, Ryan Lim, Matteo Damascelli, John L.K. Kramer, Hafsa B Zahid, Todd S. Woodward, Alex Scott |
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Rok vydání: | 2021 |
Předmět: |
medicine.medical_specialty
Neurology genetic structures Pain Imaging data Functional networks 03 medical and health sciences Functional brain 0302 clinical medicine medicine Pain perception Humans 030304 developmental biology 0303 health sciences Brain Mapping medicine.diagnostic_test General Neuroscience Brain Pain Perception Magnetic Resonance Imaging Brain state Thermal pain Functional magnetic resonance imaging Psychology Neuroscience 030217 neurology & neurosurgery Software Information Systems |
Zdroj: | Neuroinformatics. 20(1) |
ISSN: | 1559-0089 |
Popis: | The rise of functional magnetic resonance imaging (fMRI) has led to a deeper understanding of cortical processing of pain. Central to these advances has been the identification and analysis of “functional networks”, often derived from groups of pre-selected pain regions. In this study our main objective was to identify functional brain networks related to pain perception by examining whole-brain activation, avoiding the need for a priori selection of regions. We applied a data-driven technique—Constrained Principal Component Analysis for fMRI (fMRI-CPCA)—that identifies networks without assuming their anatomical or temporal properties. Open-source fMRI data collected during a thermal pain task (33 healthy participants) were subjected to fMRI-CPCA for network extraction, and networks were associated with pain perception by modelling subjective pain ratings as a function of network activation intensities. Three functional networks emerged: a sensorimotor response network, a salience-mediated attention network, and the default-mode network. Together, these networks constituted a brain state that explained variability in pain perception, both within and between individuals, demonstrating the potential of data-driven, whole-brain functional network techniques for the analysis of pain imaging data. |
Databáze: | OpenAIRE |
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