Core Insights - A Shenzhen research team has developed a brainwave technology to detect Alzheimer's disease "hidden signals," enabling early diagnosis 15-20 years before symptoms appear [2][3] - The study published on May 19 in the journal "Alzheimer's & Dementia" highlights the advantages of EEG in early screening and intervention for Alzheimer's disease [2][3] Group 1: Research Findings - The research reveals systematic changes throughout the Alzheimer's disease progression, from Subjective Cognitive Decline (SCD) to Mild Cognitive Impairment (MCI) and eventually dementia (AD) [3] - EEG can detect specific neural network disruptions in the earliest stage (SCD) when MRI scans show no structural changes [3][4] Group 2: Technological Advancements - The research team has established the first EEG-based cognitive decline screening model (E-CDS) in China, utilizing advanced EEG analysis algorithms and AI models [5] - The model has undergone five years of validation across multiple hospitals, including Tianjin Huahu Hospital, achieving high accuracy in identifying potential Alzheimer's patients [5] Group 3: Clinical Implications - The findings aim to address the issue of late diagnosis in Alzheimer's patients, who often miss the optimal intervention window [4] - The research supports the concept of "early screening, early diagnosis, early treatment," potentially benefiting millions of at-risk individuals [5]