失智症
痴呆
脑电图
心理学
神经科学
医学
听力学
精神科
内科学
疾病
作者
Ahmad Zandbagleh,Ανδρέας Μιλτιάδους,Saeid Sanei,Hamed Azami
标识
DOI:10.1016/j.jagp.2024.06.009
摘要
Aging, frontotemporal dementia (FTD), and Alzheimer's dementia (AD) manifest electroencephalography (EEG) alterations, particularly in the beta-to-theta power ratio derived from linear power spectral density (PSD). Given the brain's nonlinear nature, the EEG nonlinear features could provide valuable physiological indicators of aging and cognitive impairment. Multiscale dispersion entropy (MDE) serves as a sensitive nonlinear metric for assessing the information content in EEGs across biologically relevant time scales.
科研通智能强力驱动
Strongly Powered by AbleSci AI