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Zhiyi Wang

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Review Open access Aug 2026

Wearable vagus nerve stimulation for depression: mechanisms, devices, and the road toward personalized neuromodulation

Major depressive disorder remains a leading cause of global disability, with a substantial fraction of patients exhibiting inadequate response to conventional pharmacological and psychotherapeutic treatments. Vagus nerve stimulation has emerged as an effective neuromodulation strategy for treatment-resistant depression, yet implantable systems are limited by surgical risk, cost, and restricted scalability. Recent advances in non-invasive, wearable vagus nerve stimulation technologies, particularly transcutaneous auricular and cervical approaches, offer a promising pathway toward accessible, home-based neuromodulation. This Review synthesizes the anatomical and physiological rationale underlying wearable non-invasive VNS and critically evaluates mechanistic evidence spanning monoaminergic modulation, neuroplasticity, neuroimmune regulation, autonomic control, and large-scale brain network reorganization. We further summarize clinical findings from implantable and non-invasive trials and discuss key engineering considerations, including electrode–skin interfaces, stimulation parameters, wearability, and safety. Finally, we highlight major challenges and future opportunities, emphasizing the integration of flexible bioelectronics, multimodal sensing, and Artificial Intelligence-driven closed-loop control to enable personalized, scalable neuromodulation for depression. Reviews vagus nerve stimulation mechanisms in depression, including autonomic, inflammatory, and neural pathways. Compares major vagus nerve stimulation modalities, with emphasis on transcutaneous auricular and cervical approaches. Analyzes device design, including electrode configuration, stimulation parameters, and ergonomic considerations. Summarizes clinical evidence on the efficacy, safety, and limitations of noninvasive vagunerve stimulation. Identifies challenges in standardization and personalization and proposes AI-assisted, closed-loop approaches. Reviews vagus nerve stimulation mechanisms in depression, including autonomic, inflammatory, and neural pathways. Compares major vagus nerve stimulation modalities, with emphasis on transcutaneous auricular and cervical approaches. Analyzes device design, including electrode configuration, stimulation parameters, and ergonomic considerations. Summarizes clinical evidence on the efficacy, safety, and limitations of noninvasive vagunerve stimulation. Identifies challenges in standardization and personalization and proposes AI-assisted, closed-loop approaches.

Vivian Wei, Xiaofeng Chen, Jiayi Li et al. · 0 citations
Open access Jul 2026

Energy-saving application of multi-objective particle swarm optimization algorithm in low-carbon interior design

To address the challenge of synergistically optimizing multiple conflicting objectives, energy efficiency, low carbon emissions, and occupant comfort, in indoor design, this study proposes an improved multi-objective particle swarm optimization (IMOPSO) framework. Tailored to the mixed heterogeneous nature of design variables, the method introduces a probability-driven discrete-variable update mechanism, integrated with adaptive parameter tuning and a dual-archive elitist guidance strategy, enabling automated, iterative coupling with building energy simulation tools. A case study based on a typical office space demonstrates that, compared with NSGA-II, MOEA/D, and standard MOPSO, the Pareto front obtained by IMOPSO achieves better performance in generation distance (0.019) and hypervolume (0.745), with solution-set uniformity improved by approximately 13%. Analysis of optimized solutions reveals that, while maintaining equivalent thermal comfort, operational energy consumption can be reduced by 31.2% and whole-life-cycle carbon emissions by 22.5%. This study provides a quantitative decision-support tool for performance-driven, low-carbon indoor design.

Zhiyi Wang, Lian Wang · 0 citations

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