定量脑电图反映帕金森病中非多巴胺能疾病的严重程度。
Quantitative EEG reflects non-dopaminergic disease severity in Parkinson's disease.
机构信息
Department of Neurology, Leiden University Medical Centre, Albinusdreef 2, 2333 ZA Leiden, The Netherlands; Department of Clinical Neurophysiology and MEG Center, Neuroscience Campus Amsterdam, VU University Medical Center, PO Box 7057, 1007 MB Amsterdam, The Netherlands.
Department of Neurology, Leiden University Medical Centre, Albinusdreef 2, 2333 ZA Leiden, The Netherlands.
出版信息
Clin Neurophysiol. 2018 Aug;129(8):1748-1755. doi: 10.1016/j.clinph.2018.04.752. Epub 2018 May 29.
OBJECTIVE
In Parkinson's Disease (PD), measures of non-dopaminergic systems involvement may reflect disease severity and therefore contribute to patient-selection for Deep Brain Stimulation (DBS). There is currently no determinant for non-dopaminergic disease severity. In this exploratory study, we investigated whether quantitative EEG reflects non-dopaminergic disease severity in PD.
METHODS
Sixty-three consecutive PD patients screened for DBS were included (mean age 62.4 ± 7.2 years, 32% females). Relative spectral powers and the Phase-Lag-Index (PLI) reflecting functional connectivity were analysed on routine EEGs. Non-dopaminergic disease severity was quantified using the SENS-PD score and its subdomains; motor-severity was quantified using the MDS-UPDRS III.
RESULTS
The SENS-PD composite score correlated with a spectral ratio ((δ + θ)/(α1 + α2 + β) powers) (global spectral ratio Pearson's r = 0.4, 95% Confidence Interval (95%CI) 0.1-0.6), and PLI in the α2 band (10-13 Hz) (r = -0.3, 95%CI -0.5 to -0.1). These correlations seem driven by the subdomains cognition and psychotic symptoms. MDS-UPDRS III was not significantly correlated with EEG parameters.
CONCLUSIONS
EEG slowing and reduced functional connectivity in the α2 band were associated with non-dopaminergic disease severity in PD.
SIGNIFICANCE
The described EEG parameters may have complementary utility as determinants of non-dopaminergic involvement in PD.
目的
在帕金森病（PD）中，非多巴胺能系统受累的测量可能反映疾病的严重程度，因此有助于为深部脑刺激（DBS）选择患者。目前还没有非多巴胺能疾病严重程度的决定因素。在这项探索性研究中，我们研究了定量脑电图（EEG）是否反映了 PD 中的非多巴胺能疾病严重程度。
方法
纳入 63 名连续筛选 DBS 的 PD 患者（平均年龄 62.4±7.2 岁，32%为女性）。在常规 EEG 上分析相对频谱功率和相位滞后指数（PLI），以反映功能连接。使用 SENS-PD 评分及其子域量化非多巴胺能疾病严重程度；使用 MDS-UPDRS III 量化运动严重程度。
结果
SENS-PD 综合评分与频谱比（（δ+θ）/（α1+α2+β）功率）（总体频谱比 Pearson r=0.4，95%置信区间（95%CI）0.1-0.6）和 α2 波段（10-13 Hz）的 PLI 相关（r=-0.3，95%CI -0.5 至-0.1）。这些相关性似乎是由认知和精神病症状等子域驱动的。MDS-UPDRS III 与 EEG 参数无显著相关性。
结论
PD 患者的 EEG 减慢和 α2 波段的功能连接减少与非多巴胺能疾病严重程度相关。
意义
所描述的 EEG 参数可能作为 PD 中非多巴胺能受累的决定因素具有互补作用。
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