From EEG signals to quantitative assessment: predicting depression severity using a novel deep learning framework

Shouqing Liu; Yuhuan Cui; Yanting Xu; Bin Zhou; Gang Li; Xiaodong Luo

doi:10.1038/s41598-026-52845-5

From EEG signals to quantitative assessment: predicting depression severity using a novel deep learning framework

S Shouqing Liu Y Yuhuan Cui Y Yanting Xu B Bin Zhou G Gang Li (State Key Laboratory of Molecular Reaction Dynamics and Dalian Coherent Light Source Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, Dalian 116023, China) X Xiaodong Luo

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Article Details

Journal Scientific Reports

Volume / Issue Vol. 16, Issue 1

Published May 19, 2026

DOI 10.1038/s41598-026-52845-5

ISSN 2045-2322

Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (6)

S

Shouqing Liu

Y

Yuhuan Cui

Y

Yanting Xu

B

Bin Zhou

G

Gang Li

State Key Laboratory of Molecular Reaction Dynamics and Dalian Coherent Light Source Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, Dalian 116023, China

X

Xiaodong Luo

From EEG signals to quantitative assessment: predicting depression severity using a novel deep learning framework

Article Details

Journal Info

Authors (6)

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