Twenty-one droolers, 22 PD patients without drooling (non-droolers), and 22 matched healthy controls underwent 3T-MRI resting-state scans. We performed independent component analysis and Granger causality analysis to determine whether significant SMN regions help predict other brain areas. Pearson\'s correlation was computed between imaging characteristics and clinical characteristics. ROC curves were plotted to assess the diagnostic performance of effective connectivity (EC).
Compared with non-droolers and healthy controls, droolers showed abnormal EC of the right caudate nucleus (CAU.R) and right postcentral gyrus to extensive brain regions. In droolers, increased EC from the CAU.R to the right middle temporal gyrus was positively correlated with MDS-UPDRS, MDS-UPDRS II, NMSS, and HAMD scores; increased EC from the right inferior parietal lobe to CAU.R was positively correlated with MDS-UPDRS score. ROC curve analysis showed that these abnormal ECs are of great significance in diagnosing drooling in PD.
This study identified that PD patients with drooling have abnormal EC in the cortico-limbic-striatal-cerebellar and cortio-cortical networks, which could be potential biomarkers for drooling in PD.
方法:21个流口水者,22名没有流口水的PD患者(非流口水),22名匹配的健康对照者接受了3T-MRI静息态扫描。我们进行了独立成分分析和格兰杰因果关系分析,以确定重要的SMN区域是否有助于预测其他大脑区域。在影像学特征和临床特征之间计算Pearson的相关性。绘制ROC曲线以评估有效连接(EC)的诊断性能。
结果:与非流口水者和健康对照相比,口水显示右尾状核EC异常(CAU。R)和右中央后回至广泛的大脑区域。在流口水中,来自CAU的EC增加。右颞中回R与MDS-UPDRS呈正相关,MDS-UPDRSII,NMSS,和HAMD评分;从右下顶叶到CAU的EC增加。R与MDS-UPDRS评分呈正相关。ROC曲线分析表明,这些异常ECs对PD患者流口性的诊断具有重要意义。
结论:这项研究发现,流口水的PD患者在皮质-边缘-纹状体-小脑和皮质-皮质网络中有异常的EC,这可能是PD流口水的潜在生物标志物。