振幅
信号(编程语言)
频域
糖尿病
心脏病学
脑电图
滞后
时域
医学
内科学
听力学
数学
心理学
计算机科学
神经科学
物理
内分泌学
数学分析
计算机视觉
计算机网络
量子力学
程序设计语言
作者
Nuwan D. Nanayakkara,Liesel-Ann Meusel,Nicole D. Anderson,J Jean Chen
标识
DOI:10.1177/0271678x241270420
摘要
In this work, we demonstrate a data-driven approach for estimating cerebrovascular reactivity (CVR) amplitude and lag from breathhold (BH) fMRI data alone. Our approach employs a frequency-domain approach that is independent of external recordings. CVR amplitude is estimated from the BOLD frequency spectrum and CVR lag is estimated from the Fourier phase using the global-mean BOLD signal as reference. Unlike referencing to external recordings, these lags are specific to the brain. We demonstrated our method in detecting regional CVR amplitude and lag differences across healthy (CTL), hypertensive (HT) and hypertension-plus-type-2-diabetes (HT + DM) groups of similar ages and sex ratios, with a total
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