Hatz Florian, Meyer Antonia, Zimmermann Ronan, Gschwandtner Ute, Fuhr Peter
Department of Neurology, Hospitals of University of BaselBasel, Switzerland.
Front Aging Neurosci. 2017 Aug 15;9:262. doi: 10.3389/fnagi.2017.00262. eCollection 2017.
Quantitative electroencephalography (QEEG) brain frequency and network analyses are known to differentiate between disease stages in Parkinson's disease (PD) and are possible biomarkers. They correlate with cognitive decline. Little is known about changes in brain networks in relation to apathy. To analyze changes in brain network connectivities related to apathy. 40 PD patients (14 PD with mild cognitive deficits and 26 PD with normal cognition) were included. All patients had extensive neuropsychological testing; apathy was evaluated using the apathy evaluation score (AES, median 24.5, range 18-39). Resting state EEG was recorded with 256 electrodes and analyzed using fully automated Matlab® code (TAPEEG). For estimation of the connectivities between brain regions, PLI (phase lag index) was used, enhanced by a microstates segmentation. After correction for multiple comparisons, significant correlations were found for single alpha2-band connectivities with the AES (-values < 0.05). Lower connectivities, mainly involving the left fronto-polar region, were related to higher apathy scores. In our sample of patients with PD, apathy correlates with a network alteration mainly involving the left fronto-polar region. This might be due to dysfunction of the cortico-basal loop, modulating motivation.
定量脑电图（QEEG）脑频率和网络分析已知可区分帕金森病（PD）的疾病阶段，并且可能是生物标志物。它们与认知衰退相关。关于与冷漠相关的脑网络变化知之甚少。为了分析与冷漠相关的脑网络连通性变化。纳入了40例PD患者（14例轻度认知缺陷的PD患者和26例认知正常的PD患者）。所有患者均进行了广泛的神经心理学测试；使用冷漠评估评分（AES，中位数24.5，范围18 - 39）评估冷漠程度。使用256个电极记录静息态脑电图，并使用全自动Matlab®代码（TAPEEG）进行分析。为了估计脑区之间的连通性，使用了相位滞后指数（PLI），并通过微状态分割进行增强。在进行多重比较校正后，发现单α2频段连通性与AES存在显著相关性（p值<0.05）。较低的连通性，主要涉及左额极区，与较高的冷漠评分相关。在我们的PD患者样本中，冷漠与主要涉及左额极区的网络改变相关。这可能是由于调节动机的皮质 - 基底环功能障碍所致。
