한빛사논문
- 조회573
Lada Kohoutová1,2,3, Lauren Y. Atlas4,5,6, Christian Büchel 7, Jason T. Buhle8, Stephan Geuter9,10, Marieke Jepma11, Leonie Koban 12, Anjali Krishnan13, Dong Hee Lee 1,2,3, Sungwoo Lee1,2,3, Mathieu Roy14, Scott M. Schafer15, Liane Schmidt12, Tor D. Wager 16 and Choong-Wan Woo 1,2,3,*
1Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea. 2Department of Biomedical Engineering, Sungkyunkwan University, Suwon, South Korea. 3Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, South Korea. 4National Center for Complementary and Integrative Health, National Institutes of Health, Bethesda, MD, USA. 5National Institute on Drug Abuse, National Institutes of Health, Bethesda, MD, USA. 6National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA. 7Department of Systems Neuroscience, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany. 8Department of Psychology, University of Southern California, Los Angeles, CA, USA. 9Department of Biostatistics, Johns Hopkins University, Baltimore, MD, USA. 10Institute of Cognitive Science, University of Colorado Boulder, Boulder, CO, USA. 11Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands. 12Control-Interoception-Attention Team, Paris Brain Institute (ICM), INSERM, CNRS, Sorbonne University, Paris, France. 13Department of Psychology, Brooklyn College of the City University of New York, New York, NY, USA. 14Department of Psychology, McGill University, Montreal, Quebec, Canada. 15Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA. 16Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA.
*Corresponding author.
Abstract
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. Higher-order transmodal regions, such as ventromedial and ventrolateral prefrontal cortices, showed larger individual variability, whereas unimodal regions, such as somatomotor cortices, showed more stable pain representations across individuals. We replicated this result in an independent dataset (n = 124). Overall, our study identifies cerebral sources of individual differences in pain processing, providing potential targets for personalized assessment and treatment of pain.
논문정보
- Research article
- 2022년 05월 (BRIC 등록일 2022-06-03)
- 국내(교신)+국외 연구진
- 바이오·의료융합 > 뇌인지과학
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