UNASSIGNED: We aim to test the performance of different FC measures in detecting NH at the earliest stage using a computational approach.
UNASSIGNED: We use a whole brain computational model of activity dependent degeneration to simulate progressive AD pathology and NH. We investigate if and at what stage four measures of FC (amplitude envelope correlation corrected [AECc], phase lag index [PLI], joint permutation entropy [JPE] and a new measure: phase lag time [PLT]) can detect early-stage AD pathophysiology.
UNASSIGNED: The activity dependent degeneration model replicates spectral changes in line with clinical data and demonstrates increasing NH. Compared to relative theta power as a gold standard the AECc and PLI are shown to be less sensitive in detecting early-stage NH and AD-related neurophysiological abnormalities, while the JPE and the PLT show more sensitivity with excellent test characteristics.
UNASSIGNED: Novel FC measures, which are better in detecting rapid fluctuations in neural activity and connectivity, may be superior to well-known measures such as the AECc and PLI in detecting early phase neurophysiological abnormalities and in particular NH in AD. These markers could improve early diagnosis and treatment target identification.
■我们旨在使用计算方法测试不同FC措施在最早阶段检测NH的性能。
■我们使用活动依赖性变性的全脑计算模型来模拟进行性AD病理和NH。我们研究了FC的四种测量是否以及在什么阶段(振幅包络相关性校正[AECc],相位滞后指数[PLI],联合排列熵[JPE]和一种新的度量:相位滞后时间[PLT])可以检测早期AD病理生理学。
■活性依赖性变性模型复制了与临床数据一致的光谱变化,并显示出NH增加。与作为金标准的相对θ功率相比,AECc和PLI在检测早期NH和AD相关的神经生理异常方面的敏感性较低。而JPE和PLT显示出更高的灵敏度和优异的测试特性。
■新的FC措施,更好地检测神经活动和连通性的快速波动,在检测早期神经生理异常,特别是AD中的NH方面,可能优于众所周知的措施,例如AECc和PLI。这些标记物可以改善早期诊断和治疗目标识别。