한빛사 논문
Jae-Joong Lee 1,2, Hong Ji Kim1,2, Marta Čeko 3,4, Bo-yong Park1,5, Soo Ahn Lee1,2, Hyunjin Park 1,6, Mathieu Roy7,8, Seong-Gi Kim1,2, Tor D. Wager 9,* and Choong-Wan Woo 1,2,10,11,*
1 Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea. 2 Department of Biomedical Engineering, Sungkyunkwan University, Suwon, South Korea. 3 Institute of Cognitive Science, University of Colorado, Boulder CO, USA. 4 Department of Psychology and Neuroscience, University of Colorado, Boulder CO, USA. 5 McConnell Brain Imaging Centre, Montreal Neurological institute and Hospital, McGill University, Montreal, QC, Canada. 6 School of Electronic and Electrical Engineering, Sungkyunkwan University, Suwon, South Korea. 7 Department of Psychology, McGill University, Montreal, QC, Canada. 8 Alan Edwards Centre for Research on Pain, McGill University, Montreal, QC, Canada. 9 Department of Psychological and Brain Sciences, Dartmouth College, Hanover NH, USA. 10 Biomedical Institute for Convergence at SKKU, Sungkyunkwan University, Suwon, South Korea. 11 Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Korea.
*Corresponding author
Abstract
Sustained pain is a major characteristic of clinical pain disorders, but it is difficult to assess in isolation from co-occurring cognitive and emotional features in patients. In this study, we developed a functional magnetic resonance imaging signature based on whole-brain functional connectivity that tracks experimentally induced tonic pain intensity and tested its sensitivity, specificity and generalizability to clinical pain across six studies (total n = 334). The signature displayed high sensitivity and specificity to tonic pain across three independent studies of orofacial tonic pain and aversive taste. It also predicted clinical pain severity and classified patients versus controls in two independent studies of clinical low back pain. Tonic and clinical pain showed similar network-level representations, particularly in somatomotor, frontoparietal and dorsal attention networks. These patterns were distinct from representations of experimental phasic pain. This study identified a brain biomarker for sustained pain with high potential for clinical translation.
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