Brain morphology predicts individual sensitivity to pain: a multicenter machine learning approach

Kotikalapudi Raviteja and Kincses Bálint and Zunhammer Matthias and Schlitt Frederik and Asan Livia and Schmidt-Wilcke Tobias and Kincses Zsigmond Tamás and Bingel Ulrike and Spisák Tamás: Brain morphology predicts individual sensitivity to pain: a multicenter machine learning approach.
PAIN, 164 (11). pp. 2516-2527. ISSN 0304-3959 (2023)

[thumbnail of 34024416brain_morphology_predicts_individual_sensitivity.12.pdf] Text
34024416brain_morphology_predicts_individual_sensitivity.12.pdf - Published Version

Download (597kB)
Item Type: Journal Article
Journal or Publication Title: PAIN
Date: 2023
Volume: 164
Number: 11
Page Range: pp. 2516-2527
ISSN: 0304-3959
Faculty/Unit: Albert Szent-Györgyi Medical School
Institution: Szegedi Tudományegyetem
Language: English
MTMT rekordazonosító: 34024416
DOI azonosító: https://doi.org/10.1097/j.pain.0000000000002958
Date Deposited: 2023. Dec. 11. 08:10
Last Modified: 2023. Dec. 11. 08:10
URI: http://publicatio.bibl.u-szeged.hu/id/eprint/29053
Web of Science® Times Cited: 1 View citing articles in Web of Science®

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year