Comparative analysis of rs-fMRI markers in heat and mechanical pain sensitivity

Yung Lin Chen, Li Ling Hope Pan, David M. Niddam, Clay Hinrichs, Shuu-Jiun Wang*, Yu Te Wu

*此作品的通信作者

研究成果: Chapter同行評審

摘要

This study investigates the comparative analysis of resting-state functional magnetic imaging (rs-fMRI) markers in heat and mechanical pain sensitivity among healthy adults. Using quantitative sensory testing (QST) in the orofacial area and rs-fMRI, we explored the relationship between pain sensitivities and resting-state functional connectivity (rsFC) across whole brain areas. Brain regions were spatially divided using group independent component analysis (gICA), and additional masked gICA was performed for brainstem regions. Our findings revealed that a significant number of rsFCs were correlated with either heat or mechanical pain sensitivity, with a substantial portion originating from the Sensorimotor Network (SMN). Furthermore, multivariable regression models incorporating rsFC features demonstrated predictive capabilities for pain sensitivities, with the inclusion of brainstem gICA components significantly enhancing model accuracy. Finally, a composite critical rsFC value was introduced to simplify and describe overall abnormal communication in the brain network, which could also be used in univariable regression models to predict heat and mechanical pain sensitivity.

原文English
主出版物標題Medical Image and Signal Analysis in Brain Research
發行者Elsevier B.V.
頁面157-178
頁數22
ISBN(列印)9780443238444
DOIs
出版狀態Published - 1月 2024

出版系列

名字Progress in Brain Research
290
ISSN(列印)0079-6123
ISSN(電子)1875-7855

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