Analysis of EEG features and study of automatic classification in first-episode and drug-naïve patients with major depressive disorder

Analysis of EEG features and study of automatic classification in first-episode and drug-naïve patients with major depressive disorder

Abstract Background Major depressive disorder (MDD) has a high incidence and an unknown mechanism. There are no objective and sensitive indicators for clinical diagnosis. Objective This study explored specific electrophysiological indicators and their role in the clinical diagnosis of MDD using mach...

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Bibliographic Details
Main Authors: Yuanyuan Huang, Yun Yi, Qiang Chen, Hehua Li, Shixuan Feng, Sumiao Zhou, Ziyun Zhang, Chenyu Liu, Junhao Li, Qiuling Lu, Lida Zhang, Wei Han, Fengchun Wu, Yuping Ning
Format: Article
Language:English
Published: BMC 2023-11-01
Series:BMC Psychiatry
Subjects:
Major depressive disorder
Electroencephalogram
Machine learning
Automated classification
Online Access:https://doi.org/10.1186/s12888-023-05349-9

Internet

https://doi.org/10.1186/s12888-023-05349-9

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