The aim of this study is to develop an algorithm and then evaluate it to determine whether applying machine-learning techniques to resting-state electroencephalography (EEG) can characterize patient's cognitive status and detect the presence or absence of AD on the basis of the patient's EEG.
The study utilizes investigational software, the SPARK Test, with an FDA-cleared electroencephalography (EEG) amplifier and EEG cap to collect and then analyze patient EEG data.