Electroencephalograms (EEG) could serve as a biomarker for Alzheimer's disease (AD), leveraging its indicative features. However, the theoretical implications of EEG in the clinical diagnostic routine for AD remain underexplored. This study introduces an approach to analyze EEG signals within the computational framework proposed by integrated information theory, aiming to process EEG signals...