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Changwei Wei

Department of Anesthesiology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.

3 papers in the library · 60 citations · publishing 2021-2025

Papers

Intranasal Ketamine for Depression in Adults: A Systematic Review and Meta-Analysis of Randomized, Double-Blind, Placebo-Controlled Trials

Frontiers in Psychology June 1, 2021 Dongjiao An, Changwei Wei, Jing Wang et al. 46 citations

Repeated doses of intranasal ketamine produce a fast-acting antidepressant effect in people with major depressive disorder, including those with treatment-resistant depression. In a meta-analysis of six randomized controlled trials totaling 858 participants, depression scores on the Montgomery–Asberg Depression Rating Scale dropped by an average of 6 points at 2–4 hours, 10 points at 24 hours, and 4 points at 28 days. The likelihood of achieving remission was about 3.5 times higher at 24 hours and 1.7 times higher at 28 days compared with placebo. Transient dissociative symptoms and other mild side effects occurred, but no persistent psychosis or mood switches were reported.

State-related Electroencephalography Microstate Complexity during Propofol- and Esketamine-induced Unconsciousness.

Anesthesiology May 1, 2024 Zhenhu Liang, Bo Tang, Yu Chang et al. 13 citations

Two new measures of EEG microstate complexity—type I, quantifying randomness, and type II, quantifying fluctuation complexity—track anesthetic-induced unconsciousness independently of the drug used (propofol or esketamine). In 20 patients, type I complexity increased from wakefulness to unconsciousness and decreased upon recovery, while type II complexity showed the opposite pattern. Both measures changed significantly under both anesthetics, suggesting they reflect the state of consciousness rather than the specific drug. These complexity measures may serve as state-related neural correlates of consciousness during general anesthesia.

A practical measure of integrated information reveals alpha-band activity and the posterior cortex as neural correlates of arousal.

NeuroImage July 18, 2025 Xin Wen, Yu Chang, Sijie Li et al. 1 citation

A new measure called Φcopula, which uses a Gaussian copula approach to estimate integrated information, outperforms common estimators by maintaining the lowest bias and mean squared error even in non-Gaussian high-dimensional systems. Applied to electroencephalographic data across awake, propofol-induced unresponsive, and NREM sleep states, alpha-band Φcopula significantly decreased during both anesthesia and sleep. Φcopula-based classifiers distinguished arousal states more accurately than functional connectivity and network efficiency measures. The dorsal attention network and default mode network contributed most to Φcopula, with the cingulate and posterior cortices showing the greatest contributions. The posterior cortex, especially the posterior cingulate cortex, appears critical for arousal-related information integration and consciousness.