Maryam Alimardani

This study compares functional connectivity and spectral analysis using EEG data to detect differences between Alzheimer's patients and healthy controls, finding functional connectivity more effective in identifying AD-related brain activity patterns.

This study compares a machine learning and a deep learning approach for classifying motor imagery EEG signals, finding that deep learning improves classification accuracy, especially for low performers.

This study predicts BCI inefficiency using cognitive skills and personality traits, finding that visuospatial memory predicts suppression during motor imagery tasks.