Lada Kohoutová, Lauren Y Atlas, Christian Büchel, Jason T Buhle, Stephan Geuter, Marieke Jepma, Leonie Koban, Anjali Krishnan, Dong Hee Lee, Sungwoo Lee, Mathieu Roy, Scott M Schafer, Liane Schmidt, Tor D Wager, Choong-Wan Woo
Characterizing cerebral contributions to individual variability in pain processing is crucial for personalized pain medicine, but has yet to be done. In the present study, we address this problem by identifying brain regions with high versus low interindividual variability in their relationship with pain. We trained idiographic pain-predictive models with 13 single-trial functional MRI datasets (n = 404, discovery set) and quantified voxel-level importance for individualized pain prediction. With 21 regions identified as important pain predictors, we examined the interindividual variability of local pain-predictive weights in these regions...
June 2022: Nature Neuroscience