帕金森病（Parkinson’s disease, PD）是一种常见的神经退行性疾病，其临床表现除典型运动症状外， 还包括广泛且严重影响生活质量的非运动症状，如认知障碍、感觉异常及口咽功能障碍等。脑磁图作为一 种高时间与空间分辨率的医学成像技术，能够非侵入性地探测大脑神经元同步活动产生的磁场，为揭示 PD非运动症状背后的神经网络功能障碍提供了独特视角。本文系统综述了近年来利用脑磁图研究PD非 运动症状的进展，重点围绕认知障碍、感觉异常、构音障碍及吞咽困难等核心非运动问题，归纳了相应的脑 磁图特征，包括特定频段（如θ、α、β、γ）的振荡功率异常、事件相关（去）同步变化、功能连接改变以及频谱偏 差等。这些神经电生理特征不仅与临床症状严重程度相关，也提示了胆碱能系统、多巴胺能系统以外的广 泛网络受累及可能的代偿机制。当前研究仍面临样本量有限、异质性大等挑战，未来需结合多模态影像与 纵向设计，进一步明确脑磁图生物标志物在PD非运动症状早期识别、机制阐明及治疗评估中的价值。

Parkinson’s disease (PD) is a common neurodegenerative disorder. In addition to typical motor symptoms, its clinical manifestations also include a range of non-motor symptoms that significantly impact quality of life, such as cognitive impairment, sensory abnormalities, and oropharyngeal dysfunction. Magnetoencephalography (MEG), as a neuroelectrophysiological imaging technique with high temporal and spatial resolution, can non-invasively detect the magnetic fields generated by synchronous neuronal activity in the brain, providing a unique perspective for uncovering neural network dysfunctions underlying non-motor symptoms in PD. This article systematically reviews recent advances in using MEG to study non-motor symptoms in PD. Focusing on core non-motor issues such as cognitive impairment, sensory abnormalities, dysarthria, and dysphagia, it summarizes corresponding MEG characteristics, including abnormalities in oscillatory power within specific frequency bands (e.g., θ, α, β, γ), changes in event-related (de)synchronization, alterations in functional connectivity, and spectral deviations. These neuroelectrophysiological features not only correlate with the severity of clinical symptoms but also suggest the involvement of extensive networks beyond the cholinergic and dopaminergic systems, as well as potential compensatory mechanisms. Current research still faces challenges such as limited sample sizes and high heterogeneity. Future studies should integrate multimodal imaging and longitudinal designs to further clarify the value of MEG biomarkers in the early identification, mechanistic understanding, and treatment evaluation of non-motor symptoms in PD.