2022
DOI: 10.3389/fnmol.2022.844146
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Combining Regional and Connectivity Metrics of Functional Magnetic Resonance Imaging and Diffusion Tensor Imaging for Individualized Prediction of Pain Sensitivity

Abstract: Characterization and prediction of individual difference of pain sensitivity are of great importance in clinical practice. MRI techniques, such as functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI), have been popularly used to predict an individual’s pain sensitivity, but existing studies are limited by using one single imaging modality (fMRI or DTI) and/or using one type of metrics (regional or connectivity features). As a result, pain-relevant information in MRI has not been full… Show more

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“… 73 Zou et al in 2022 combined imaging to identify prominent prefrontal-parietal and insula-cingulate connectivity that more accurately predicts individualized pain threshold compared to using fMRI and DTI alone, highlighting key roles of the insula, precuneus, and calcarine in pain sensitivity. 74 These regional connectivity features related to visual and pain modulatory pathways support reported changes to FC and diffusion indices in the migraine literature.…”
Section: White Matter Microstructural Changes In Migrainesupporting
confidence: 78%
“… 73 Zou et al in 2022 combined imaging to identify prominent prefrontal-parietal and insula-cingulate connectivity that more accurately predicts individualized pain threshold compared to using fMRI and DTI alone, highlighting key roles of the insula, precuneus, and calcarine in pain sensitivity. 74 These regional connectivity features related to visual and pain modulatory pathways support reported changes to FC and diffusion indices in the migraine literature.…”
Section: White Matter Microstructural Changes In Migrainesupporting
confidence: 78%