Your browser doesn't support javascript.
loading
Individual variability in brain representations of pain.
Kohoutová, Lada; Atlas, Lauren Y; Büchel, Christian; Buhle, Jason T; Geuter, Stephan; Jepma, Marieke; Koban, Leonie; Krishnan, Anjali; Lee, Dong Hee; Lee, Sungwoo; Roy, Mathieu; Schafer, Scott M; Schmidt, Liane; Wager, Tor D; Woo, Choong-Wan.
Afiliación
  • Kohoutová L; Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea.
  • Atlas LY; Department of Biomedical Engineering, Sungkyunkwan University, Suwon, South Korea.
  • Büchel C; Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, South Korea.
  • Buhle JT; National Center for Complementary and Integrative Health, National Institutes of Health, Bethesda, MD, USA.
  • Geuter S; National Institute on Drug Abuse, National Institutes of Health, Bethesda, MD, USA.
  • Jepma M; National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
  • Koban L; Department of Systems Neuroscience, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany.
  • Krishnan A; Department of Psychology, University of Southern California, Los Angeles, CA, USA.
  • Lee DH; Department of Biostatistics, Johns Hopkins University, Baltimore, MD, USA.
  • Lee S; Institute of Cognitive Science, University of Colorado Boulder, Boulder, CO, USA.
  • Roy M; Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands.
  • Schafer SM; Control-Interoception-Attention Team, Paris Brain Institute (ICM), INSERM, CNRS, Sorbonne University, Paris, France.
  • Schmidt L; Department of Psychology, Brooklyn College of the City University of New York, New York, NY, USA.
  • Wager TD; Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, South Korea.
  • Woo CW; Department of Biomedical Engineering, Sungkyunkwan University, Suwon, South Korea.
Nat Neurosci ; 25(6): 749-759, 2022 06.
Article en En | MEDLINE | ID: mdl-35637368
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.
Asunto(s)
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Mapeo Encefálico Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Nat Neurosci Asunto de la revista: NEUROLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Corea del Sur Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Mapeo Encefálico Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Nat Neurosci Asunto de la revista: NEUROLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Corea del Sur Pais de publicación: Estados Unidos