Vinding Mikkel C, Waldthaler Josefine, Eriksson Allison, Manting Cassia Low, Ferreira Daniel, Ingvar Martin, Svenningsson Per, Lundqvist Daniel
NatMEG, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark.
NPJ Parkinsons Dis. 2024 Mar 5;10(1):51. doi: 10.1038/s41531-024-00669-3.
Parkinson's disease (PD) is associated with changes in neural activity in the sensorimotor alpha and beta bands. Using magnetoencephalography (MEG), we investigated the role of spontaneous neuronal activity within the somatosensory cortex in a large cohort of early- to mid-stage PD patients (N = 78) on Parkinsonian medication and age- and sex-matched healthy controls (N = 60) using source reconstructed resting-state MEG. We quantified features of the time series data in terms of oscillatory alpha power and central alpha frequency, beta power and central beta frequency, and 1/f broadband characteristics using power spectral density. Furthermore, we characterised transient oscillatory burst events in the mu-beta band time-domain signals. We examined the relationship between these signal features and the patients' disease state, symptom severity, age, sex, and cortical thickness. PD patients and healthy controls differed on PSD broadband characteristics, with PD patients showing a steeper 1/f exponential slope and higher 1/f offset. PD patients further showed a steeper age-related decrease in the burst rate. Out of all the signal features of the sensorimotor activity, the burst rate was associated with increased severity of bradykinesia, whereas the burst duration was associated with axial symptoms. Our study shows that general non-oscillatory features (broadband 1/f exponent and offset) of the sensorimotor signals are related to disease state and oscillatory burst rate scales with symptom severity in PD.
帕金森病（PD）与感觉运动α和β频段的神经活动变化有关。我们使用脑磁图（MEG），通过源重建静息态MEG，在一大群接受帕金森病治疗的早期至中期PD患者（N = 78）以及年龄和性别匹配的健康对照者（N = 60）中，研究了体感皮层内自发神经元活动的作用。我们根据振荡α功率和中心α频率、β功率和中心β频率以及使用功率谱密度的1/f宽带特征，对时间序列数据的特征进行了量化。此外，我们对μ-β频段时域信号中的瞬态振荡突发事件进行了特征描述。我们研究了这些信号特征与患者疾病状态、症状严重程度、年龄、性别和皮层厚度之间的关系。PD患者和健康对照者在PSD宽带特征上存在差异，PD患者表现出更陡峭的1/f指数斜率和更高的1/f偏移。PD患者还表现出突发率随年龄下降更为陡峭。在感觉运动活动的所有信号特征中，突发率与运动迟缓严重程度增加相关，而突发持续时间与轴性症状相关。我们的研究表明，感觉运动信号的一般非振荡特征（宽带1/f指数和偏移）与疾病状态相关，并且振荡突发率与PD的症状严重程度相关。
