Comparative Efficacy of BEAM EEG and MMSE in Early Detection of Mild Cognitive Impairment: A Pilot Study (P8-3.010)
To evaluate the effectiveness of BEAM™ in predicting MCI by analyzing the correlation between BEAM™ biomarkers and age, compared to MMSE scores and expected values for MCI patients.
Authors
- Amir H. Meghdadi (ORCID: https://orcid.org/0000-0001-7863-6488)
- Ryan Nakamura
- Chris Deng
- Kirra Borrello (ORCID: https://orcid.org/0000-0002-0920-6182)
- Kouji Moriyama
- Michael Read
- Kore Liow (ORCID: https://orcid.org/0000-0001-6452-9227)
- Enrique J. Carrazana (ORCID: https://orcid.org/0000-0001-8788-0722)
- K Yamauchi
- D-Dré Wright
- Shay Nakahira (ORCID: https://orcid.org/0009-0002-9307-7623)
- Anita Cheung
- Janette Bow-Keola
- Daniel Vodak
- Yun Pine
Institutions
- University of Southern California (US)
- University of Hawaiʻi at Mānoa (US)
- Hawaii Pacific University (US)
- University of California, Santa Barbara (US)
- Masaryk University (CZ)
- California Southern University (US)
- Advanced Brain Monitoring (United States) (US)
Publication Details
- Journal
- Neurology
- Published
- 2025-04-07
- DOI
- https://doi.org/10.1212/wnl.0000000000208973
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00