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Interindividual differences in pain can be explained by fMRI, sociodemographic, and psychological factors

Author

Listed:
  • Suhwan Gim

    (Institute for Basic Science
    Sungkyunkwan University
    Sungkyunkwan University)

  • Dong Hee Lee

    (Institute for Basic Science)

  • Sungwoo Lee

    (Institute for Basic Science
    Sungkyunkwan University
    Sungkyunkwan University
    Life-inspired Neural Network for Prediction and Optimization Research Group)

  • Choong-Wan Woo

    (Institute for Basic Science
    Sungkyunkwan University
    Sungkyunkwan University
    Life-inspired Neural Network for Prediction and Optimization Research Group)

Abstract

No abstract is available for this item.

Suggested Citation

  • Suhwan Gim & Dong Hee Lee & Sungwoo Lee & Choong-Wan Woo, 2024. "Interindividual differences in pain can be explained by fMRI, sociodemographic, and psychological factors," Nature Communications, Nature, vol. 15(1), pages 1-6, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-51910-9
    DOI: 10.1038/s41467-024-51910-9
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    References listed on IDEAS

    as
    1. Scott Marek & Brenden Tervo-Clemmens & Finnegan J. Calabro & David F. Montez & Benjamin P. Kay & Alexander S. Hatoum & Meghan Rose Donohue & William Foran & Ryland L. Miller & Timothy J. Hendrickson &, 2022. "Reproducible brain-wide association studies require thousands of individuals," Nature, Nature, vol. 603(7902), pages 654-660, March.
    2. Scott Marek & Brenden Tervo-Clemmens & Finnegan J. Calabro & David F. Montez & Benjamin P. Kay & Alexander S. Hatoum & Meghan Rose Donohue & William Foran & Ryland L. Miller & Timothy J. Hendrickson &, 2022. "Publisher Correction: Reproducible brain-wide association studies require thousands of individuals," Nature, Nature, vol. 605(7911), pages 11-11, May.
    3. M. E. Hoeppli & H. Nahman-Averbuch & W. A. Hinkle & E. Leon & J. Peugh & M. Lopez-Sola & C. D. King & K. R. Goldschneider & R. C. Coghill, 2022. "Dissociation between individual differences in self-reported pain intensity and underlying fMRI brain activation," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    4. Tamas Spisak & Balint Kincses & Frederik Schlitt & Matthias Zunhammer & Tobias Schmidt-Wilcke & Zsigmond T. Kincses & Ulrike Bingel, 2020. "Pain-free resting-state functional brain connectivity predicts individual pain sensitivity," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
    5. Etienne Vachon-Presseau & Sara E Berger & Taha B Abdullah & James W Griffith & Thomas J Schnitzer & A Vania Apkarian, 2019. "Identification of traits and functional connectivity-based neurotraits of chronic pain," PLOS Biology, Public Library of Science, vol. 17(8), pages 1-24, August.
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