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Hui Huang

3 papers in the library · publishing 2022-2026

Papers

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Esketamine Attenuates Postoperative Neurocognitive Disorder in Aged Mice: Associations with Bioenergetic Remodeling in Hippocampal CD11b-Enriched Cell Fractions and Glycolysis-Related Signaling.

Drug Design, Development and Therapy 2026 Di Liu, Guangchun Li, Hui Huang et al.

Postoperative neurocognitive disorder (PND) is a clinically important complication in older surgical patients. Microglial inflammatory activation is frequently accompanied by altered cellular metabolism, but whether esketamine-associated neuroprotection is accompanied by bioenergetic changes in hippocampal CD11b-enriched cell fractions remains incompletely understood. A tibial fracture model...

Effects of Web-Based Mindfulness-Based Interventions on Anxiety, Depression, and Stress Among Frontline Health Care Workers During the COVID-19 Pandemic: Systematic Review and Meta-Analysis.

Journal of Medical Internet Research August 29, 2023 Jia-Ming Yang, Hua Ye, Yi Long et al.

Background: Since 2019, the COVID-19 outbreak has spread around the world, and health care workers, as frontline workers, have faced tremendous psychological stress. Objective: The purpose of this study is to explore whether web-based mindfulness-based interventions continue to have a positive impact on anxiety, depression, and stress among health care workers during the COVID-19 pandemic....

Mapping the emergence of visual consciousness in the human brain via brain-wide intracranial electrophysiology.

The Innovation April 20, 2022 Liang Shan, Hui Huang, Zhiting Zhang et al.

Consciousness lies at the heart of our existence and experience. To probe how perceptual consciousness emerges in the brain, we recorded brain-wide intracranial electroencephalography signals from human patients while their perceptual consciousness was effectively manipulated using the continuous flash suppression paradigm. We observed substantial differences in brain activities when visual...

DOI: 10.1016/j.xinn.2022.100243 (opens in new tab) Full text (opens in new tab) Subconscious Machine learning Random forest Ieeg +2