TY  - CONF
AU  - Saraiva, João Areias
AU  - Dyrba, Martin
AU  - Becker, Martin
AU  - Krause, Ludwig
AU  - Berger, Christoph
AU  - Kirste, Thomas
AU  - Teipel, Stefan
TI  - Cross‐Sectional Associations Between the Electroencephalogram and Cognitive Status: Toward Scalable Monitoring Solutions
JO  - Alzheimer's and dementia
VL  - 21
IS  - S2
SN  - 1552-5260
M1  - DZNE-2026-00003
SP  - e098538
PY  - 2025
AB  - Background:Alzheimer's disease (AD) strains healthcare systems in an aging population, emphasizing the need for continuous cognitive decline monitoring and its early detection. The Mini-Mental State Examination (MMSE) remains a widely used and cost-effective diagnostic tool, with efforts underway to adapt it for digital home-based assessments, enabling more frequent monitoring while minimizing patient burden and mobility. Similarly, electroencephalograms (EEG) have been investigated to monitor cognitive status in ambulatory settings. In this cross-sectional study, we identified key EEG features reflecting the cognitive decline process and assessed their feasibility to estimate cognitive status using machine learning (ML).Method:An international and diverse cohort (France, Greece, Turkey, Argentina, Colombia) was gathered comprising N = 510 older adults (40-98 years, 46
T2  - Alzheimer’s Association International Conference
CY  - 27 Jul 2025 - 31 Jul 2025, Toronto (Canada)
Y2  - 27 Jul 2025 - 31 Jul 2025
M2  - Toronto, Canada
LB  - PUB:(DE-HGF)1 ; PUB:(DE-HGF)16
DO  - DOI:10.1002/alz70856_098538
UR  - https://pub.dzne.de/record/283107
ER  -