Hata Masahiro, Kazui Hiroaki, Tanaka Toshihisa, Ishii Ryouhei, Canuet Leonides, Pascual-Marqui Roberto D, Aoki Yasunori, Ikeda Shunichiro, Kanemoto Hideki, Yoshiyama Kenji, Iwase Masao, Takeda Masatoshi
Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan.
Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan.
Clin Neurophysiol. 2016 Feb;127(2):1269-1278. doi: 10.1016/j.clinph.2015.10.030. Epub 2015 Oct 19.
To explore neurophysiological biomarkers of Alzheimer's disease (AD), we investigated electroencephalography (EEG) of AD patients, and assessed lagged phase synchronization, a measure of brain functional connectivity.
Twenty-eight probable AD patients and 30 healthy controls (HC) were enrolled. Forty seconds of artifact-free EEG data were selected and compared between patients with AD and HC. Current source density (CSD) and lagged phase synchronization were analyzed by using eLORETA.
Patients with AD showed significantly decreased lagged phase synchronization between most cortical regions in delta band relative to controls. There also was a decrease in lagged phase synchronization between the right dorsolateral prefrontal cortex (DLPFC) and the right posterior-inferior parietal lobule (pIPL) in theta band. In addition, some connections in delta band were found to be associated with cognitive function, measured by MMSE. This involved specifically interhemispheric temporal connections as well as left inferior parietal connectivity with the left hippocampus, lateral frontal regions, and the anterior cingulate cortex (aCC). Right temporal connections in delta band were related to global function, as estimated by CDR. No differences were found in CSD analysis between patients and HC.
Functional connectivity disruptions between certain brain regions, as measured with lagged phase synchronization, may potentially represent a neurophysiological biomarker of AD.
Our study indicated that AD and healthy elderly could have the different patterns of lagged phase synchronization.
为了探索阿尔茨海默病（AD）的神经生理学生物标志物，我们对AD患者的脑电图（EEG）进行了研究，并评估了滞后相位同步，这是一种脑功能连接的测量方法。
招募了28名可能患有AD的患者和30名健康对照者（HC）。选取了40秒无伪迹的EEG数据，并在AD患者和HC之间进行比较。使用eLORETA分析电流源密度（CSD）和滞后相位同步。
与对照组相比，AD患者在δ频段大多数皮质区域之间的滞后相位同步显著降低。在θ频段，右侧背外侧前额叶皮质（DLPFC）和右侧后下顶叶小叶（pIPL）之间的滞后相位同步也有所降低。此外，发现δ频段的一些连接与通过简易精神状态检查表（MMSE）测量的认知功能相关。这具体涉及半球间颞叶连接以及左侧顶叶下部与左侧海马体、外侧额叶区域和前扣带回皮质（aCC）的连接。δ频段的右侧颞叶连接与通过临床痴呆评定量表（CDR）估计的整体功能相关。患者和HC之间在CSD分析中未发现差异。
用滞后相位同步测量的某些脑区之间的功能连接中断可能潜在地代表AD的神经生理学生物标志物。
我们的研究表明，AD患者和健康老年人可能具有不同的滞后相位同步模式。
