NeurosciencebioRxivPreprint
Short-Lived EEG Synchrony Patterns for Alzheimer's Disease Diagnosis
This paper introduces a framework using EEG synchrony patterns to diagnose Alzheimer's disease, finding that synchronization latency between specific channels and frequency bands correlates with clinical scores and achieves high diagnostic accuracy.
DOI 10.64898/2026.03.23.713571