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Predicting individual pain sensitivity using a novel cortical biomarker signature

01.27.25 | JAMA Network

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About The Study: This study provides evidence for a sensorimotor cortical biomarker signature for pain sensitivity. The combination of accuracy, reproducibility, and reliability suggests the peak alpha frequency/corticomotor excitability biomarker signature has substantial potential for clinical translation, including predicting the transition from acute to chronic pain.

Corresponding Author: To contact the corresponding author, David A. Seminowicz, PhD, email dseminow@uwo.ca .

To access the embargoed study: Visit our For The Media website at this link https://media.jamanetwork.com/

(doi:10.1001/jamaneurol.2024.4857)

Editor’s Note: Please see the article for additional information, including other authors, author contributions and affiliations, conflict of interest and financial disclosures, and funding and support.

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JAMA Neurology

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JAMA Network Media Relations
JAMA Network
mediarelations@jamanetwork.org

How to Cite This Article

APA:
JAMA Network. (2025, January 27). Predicting individual pain sensitivity using a novel cortical biomarker signature. Brightsurf News. https://www.brightsurf.com/news/LQ4GD3K8/predicting-individual-pain-sensitivity-using-a-novel-cortical-biomarker-signature.html
MLA:
"Predicting individual pain sensitivity using a novel cortical biomarker signature." Brightsurf News, Jan. 27 2025, https://www.brightsurf.com/news/LQ4GD3K8/predicting-individual-pain-sensitivity-using-a-novel-cortical-biomarker-signature.html.