Peer-reviewedCC BY-NC-ND 4.0Scientific Reports
Electroencephalographic gamma correlates with pain intensity attenuation in a prospective longitudinal study using an AI-powered digital device for pain self-management
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BibTeX
@article{bie2026electroencephalographic,
title = {{Electroencephalographic gamma correlates with pain intensity attenuation in a prospective longitudinal study using an AI-powered digital device for pain self-management}},
author = {Bihua Bie and Maria L. Rosén Klement and Samer Ghosn and Elias Isaac Lattouf and Samuel Schut and Jijun Xu and Jianguo Cheng and Jacob Ezell and Carl A. K. Borrebaeck and Carl Y. Saab},
journal = {Scientific Reports},
year = {2026},
month = oct,
doi = {10.1038/s41598-026-76932-9},
url = {https://www.nature.com/articles/s41598-026-76932-9},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - Electroencephalographic gamma correlates with pain intensity attenuation in a prospective longitudinal study using an AI-powered digital device for pain self-management
AU - Bihua Bie
AU - Maria L. Rosén Klement
AU - Samer Ghosn
AU - Elias Isaac Lattouf
AU - Samuel Schut
AU - Jijun Xu
AU - Jianguo Cheng
AU - Jacob Ezell
AU - Carl A. K. Borrebaeck
AU - Carl Y. Saab
PY - 2026
DA - 2026/10/21
JO - Scientific Reports
DO - 10.1038/s41598-026-76932-9
UR - https://www.nature.com/articles/s41598-026-76932-9
SN - 2045-2322
ER -