Psychiatry research
September 1, 2024
Qinghua Guo, Libo Guo, Yong Wang et al.
19 citations
A network meta-analysis of 72 randomized controlled trials with 12,105 participants found that electroconvulsive therapy (ECT), ketamine, esketamine, and psilocybin are superior first-line treatments for treatment-resistant depression (TRD) due to their optimal balance of effectiveness and tolerability. Brexpiprazole and quetiapine showed no significant efficacy over placebo in response rates. Esketamine and psilocybin exhibited lower tolerability. The findings advocate for ECT, ketamine, esketamine, and psilocybin as preferred treatments, guiding clinical practice with evidence-based recommendations for enhancing treatment outcomes.
Advanced Science
December 14, 2025
Yong Wang, Jiangang Xu, Xinyu Zhou et al.
5 citations
Esketamine and ketamine are perioperative analgesics and anesthetics widely used in Europe and the United States, but their application in China is still in early stages. They primarily act through non-competitive antagonism of the N-methyl-D-aspartate receptor (NMDAR), though they also affect multiple other receptors and pathways. Due to potential side effects and addictive properties, they are subject to regulatory controls. This review synthesizes recent research on their classical applications—analgesia, sedation, and anesthesia—as well as emerging antidepressant, anti-tumor, and anti-inflammatory effects. By integrating preclinical and clinical findings and considering limitations, the review aims to inform clinical use and future research directions for these versatile agents.
Military Medical Research
December 12, 2025
An-An Ping, Long-Zhou Guan, Yong Wang et al.
1 citation
Electroencephalogram (EEG) analysis reveals distinct signatures of consciousness. Integrated EEG features, evaluated across 4 independent datasets, captured complementary dimensions of awareness. Spectral power changes tracked the loss of Consciousness during general anesthesia and Sleep. Steeper aperiodic slopes and altered connectivity effectively distinguished Disorders of consciousness like minimally conscious state from unresponsive wakefulness syndrome. Temporo-spatio-spectral analysis further identified consciousness-specific alterations in brain dynamics, providing a robust neurophysiological guideline for clinical assessment.