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Yao Wang

4 papers in the library · 71 citations · publishing 2022-2026

Papers

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Inefficient default mode network hyperconnectivity characterizes chronic low back-related leg pains: a static and dynamic functional MRI study.

Brain Imaging and Behavior February 28, 2026 Ziwei Yang, Xiao Liang, Yuqi Ji et al.

Pain-induced reorganization of the default mode network (DMN) exhibits distinct temporal signatures in the acute and chronic stages, yet the mechanistic interplay between static/dynamic network topology and pain chronicity remains unclear. In this study, we utilized both static and dynamic graph theory analyses to characterize DMN reconfiguration in 50 patients with low back-related leg pain...

Artificial intelligence-assisted mindfulness in tourism, hospitality, and events

International Journal of Contemporary Hospitality Management June 16, 2023 Yao Wang, M. Uysal

Purpose Following the increasing trend of artificial intelligence (AI) research in hospitality literature, this critical reflection paper aims to identify AI-assisted mindfulness as a critical yet under-investigated issue and to contribute feasible directions for future research. Design/methodology/approach The authors first conceptualize a framework explaining the effects of mindfulness design...

Effectiveness of a Mindfulness Meditation App Based on an Electroencephalography-Based Brain-Computer Interface in Radiofrequency Catheter Ablation for Patients With Atrial Fibrillation: Pilot Randomized Controlled Trial.

JMIR mHealth and uHealth May 3, 2023 Ying He, Zhijie Tang, Guozhen Sun et al. 21 citations

Radiofrequency catheter ablation (RFCA) for patients with atrial fibrillation (AF) can generate considerable physical and psychological discomfort under conscious sedation. App-based mindfulness meditation combined with an electroencephalography (EEG)-based brain-computer interface (BCI) shows promise as effective and accessible adjuncts in medical practice. This study aimed to investigate the...

DOI: 10.2196/44855 (opens in new tab) Full text (opens in new tab) Atrial fibrillation Brain computer interface Mhealth Mindfulness meditation +3

Uncovering the Underlying Mechanisms of Ketamine as a Novel Antidepressant

Frontiers in Pharmacology July 7, 2022 Songbai Xu, Xiaoxiao Yao, Bingjin Li et al. 50 citations

Major depressive disorder (MDD) is a devastating psychiatric disorder which exacts enormous personal and social-economic burdens. Ketamine, an N-methyl-D-aspartate receptor (NMDAR) antagonist, has been discovered to exert rapid and sustained antidepressant-like actions on MDD patients and animal models. However, the dissociation and psychotomimetic propensities of ketamine have limited its use...