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Hui Li

8 papers in the library · 98 citations · publishing 2019-2026

Papers

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Clinical applications of esketamine: Current status and future perspectives.

J Int Med Res March 29, 2026 Hui Li, Jingjing Deng, Tao Liu et al.

Ketamine, a dissociative anesthetic, has been extensively used in clinical anesthesia and sedation. However, its use in general anesthesia is gradually declining because of numerous adverse effects. In 2019, esketamine was introduced to the Chinese market. This narrative review aimed to summarize the current status of clinical applications and research progress of esketamine and to explore its...

Esketamine ameliorates depression-like behavior in mice via modulation of the NRG1-ErbB4 pathway.

Frontiers in Psychiatry 2026 Hang Yu, Yuqiong Zhu, Jie Wang et al.

Esketamine has a significant and rapid antidepressant effect. Although studies have shown that Neuregulin 1 (NRG1) and it's signaling pathway are associated with depression, the possible regulatory relationship of esketamine on the NRG1-ErbB4 pathway is not yet clear. To induce depressive-like behavior in mice, a Chronic Social Defeat Stress (CSDS) model was established. Behavioral indicators...

Esketamine improves cognitive function in sepsis-associated encephalopathy by inhibiting microglia-mediated neuroinflammation.

European Journal of Pharmacology November 15, 2024 Hui Li, Wen Hu, Zhen Wu et al. 11 citations

Microglia-mediated neuroinflammation is critical in the pathogenesis of sepsis-associated encephalopathy(SAE). Identifying the key factors that inhibit microglia-mediated neuroinflammation holds promise as a potential target for preventing and treating SAE. Esketamine, a non-competitive N-methyl-D-aspartate (NMDA) receptor antagonist, has been proposed to possess protective and therapeutic...

Brain region-specific action of ketamine as a rapid antidepressant.

Science (New York, N.Y.) August 9, 2024 Min Chen, Shuangshuang Ma, Hanxiao Liu et al. 87 citations

Ketamine has been found to have rapid and potent antidepressant activity. However, despite the ubiquitous brain expression of its molecular target, the N-methyl-d-aspartate receptor (NMDAR), it was not clear whether there is a selective, primary site for ketamine's antidepressant action. We found that ketamine injection in depressive-like mice specifically blocks NMDARs in lateral habenular...

Resting State Brain Networks under Inverse Agonist versus Complete Knockout of the Cannabinoid Receptor 1.

ACS Chemical Neuroscience April 17, 2024 Hui Li, Qiong Ye, Da Wang et al.

The cannabinoid receptor 1 (CB1) is famous as the target of Δ9-tetrahydrocannabinol (THC), which is the active ingredient of marijuana. Suppression of CB1 is frequently suggested as a drug target or gene therapy for many conditions (e.g., obesity, Parkinson's disease). However, brain networks affected by CB1 remain elusive, and unanticipated psychological effects in a clinical trial had dire...

The Benefits of Self-Transcendence: Examining the Role of Values on Mental Health Among Adolescents Across Regions in China

Frontiers in Psychology February 17, 2021 Ping Liu, Xiaofeng Wang, Dan Li et al.

As one of the foundations of existential positive psychology, self-transcendence can bring positive intrapersonal and interpersonal outcomes, especially in the COVID-19 era in which people are suffering huge mental stress. Based on Schwartz's theory of human basic values, the current study combines variable-centered and person-centered approaches to examine the relationships between...

Abnormal Functional Connectivity in Cognitive Control Network, Default Mode Network, and Visual Attention Network in Internet Addiction: A Resting-State fMRI Study

Frontiers in Neurology September 18, 2019 Yang Wang, Yun Qin, Hui Li et al.

Internet addiction (IA) has become a global mental and social problem, which may lead to a series of psychiatric symptoms including uncontrolled use of internet, and lack of concentration. However, the exact pathophysiology of IA remains unclear. Most of functional connectivity studies were based on pre-selected regions of interest (ROI), which could not provide a comprehensive picture of the...

Explainable and Externally Validated Resting-State fMRI Machine Learning Reveals Network Mechanisms Supporting Preserved Consciousness: A Cross-Sectional Study Comparing Minimally Conscious State and Unresponsive Wakefulness Syndrome

Linghui Dong, Hui Li, Kaiyue Han et al.

Abstract Background Accurate differentiation between minimally conscious state (MCS) and unresponsive wakefulness syndrome (UWS) is a significant clinical challenge because behavioral assessments are often constrained by patients' motor impairments and fluctuating arousal. Beyond diagnostic classification, clarifying the specific brain network mechanisms that sustain residual consciousness in...