Publications

Professor Robert Chen
Editor-in-Chief,
Clinical Neurophysiology

The Editor’s Choice | November 2026

Each month, Robert Chen, Editor-in-Chief of Clinical Neurophysiology, selects an Editor's Choice article highlighting noteworthy research from the latest issue, along with additional Editor's Choice highlights.

Resting-state EEG biomarkers predict serotonin-norepinephrine reuptake inhibitor response in depression

Clinical Neurophysiology Volume 191

Jing Ma, Renren Li, Dan Yang, Chenxi Pan, Xiao Yuan, Fangyun Li, Hualan Yang, Zhi Bie, Yunxia Li

Antidepressant medications is the primary treatment for depression but there is considerable variation in the patients’ response. Many patients did not respond to initial treatment and it often take weeks to months to assess the response. In this volume of Clinical Neurophysiology, Ma et al. measured baseline resting state EEG in 92 patients with depression and showed that key EEG features such as power spectral density, cross-frequency coupling and microstate patterns differentiated responders from non-responders to serotonin-norepinephrine reuptake inhibitors. EEG based analysis can be further developed as a novel tool for antidepressant selection to improve treatment outcome.