From Rhythms to Complexity: Multiscale Entropy of EEG as a Potential Biomarker of Alzheimer’s Disease

Dr. Ahmad Zandbagleh

Abstrakt:

This presentation explores Multiscale Dispersion Entropy (MDE) as an EEG-based biomarker for dementia and related disorders. We investigate how complexity measures across multiple temporal scales compare with conventional spectral EEG findings and evaluate their ability to differentiate dementia groups. The results highlight the potential of multiscale entropy analysis as a promising approach for EEG-based dementia assessment.

When: 18.06.2026, 2 pm

Where: Institute of Psychology room 0.01 ul. Ingardena 6