Carrasco-Gómez Martín, García-Colomo Alejandra, Nebreda Alberto, Bruña Ricardo, Santos Andrés, Maestú Fernando
Department of Electronic Engineering, ETSIT, Universidad Politécnica de Madrid, 28040, Madrid, Spain.
Center for Cognitive and Computational Neuroscience, Complutense University of Madrid, 28223, Madrid, Spain.
bioRxiv. 2024 Jun 1:2024.05.29.596323. doi: 10.1101/2024.05.29.596323.
Electrophysiology and plasma biomarkers are early and non-invasive candidates for Alzheimer's disease detection. The purpose of this paper is to evaluate changes in dynamic functional connectivity measured with magnetoencephalography, associated with the plasma pathology marker p-tau231 in unimpaired adults.
73 individuals were included. Static and dynamic functional connectivity were calculated using leakage corrected amplitude envelope correlation. Each source's strength entropy across trials was calculated. A data-driven statistical analysis was performed to find the association between functional connectivity and plasma p-tau231 levels. Regression models were used to assess the influence of other variables over the clusters' connectivity.
Frontotemporal dynamic connectivity positively associated with p-tau231 levels. Linear regression models identified pathological, functional and structural factors that influence dynamic functional connectivity.
These results expand previous literature on dynamic functional connectivity in healthy individuals at risk of AD, highlighting its usefulness as an early, non-invasive and more sensitive biomarker.
电生理学和血浆生物标志物是阿尔茨海默病检测的早期非侵入性候选指标。本文旨在评估在未受损成年人中，用脑磁图测量的动态功能连接变化与血浆病理标志物p-tau231之间的关系。
纳入73名个体。使用泄漏校正幅度包络相关性计算静态和动态功能连接。计算每个源在各试验中的强度熵。进行数据驱动的统计分析以发现功能连接与血浆p-tau231水平之间的关联。使用回归模型评估其他变量对簇连接性的影响。
额颞叶动态连接与p-tau231水平呈正相关。线性回归模型确定了影响动态功能连接的病理、功能和结构因素。
这些结果扩展了先前关于有患阿尔茨海默病风险的健康个体动态功能连接的文献，突出了其作为早期、非侵入性且更敏感生物标志物的有用性。
