Inferring amyloid pathologies among patients with mild cognitive impairment using phase‒amplitude coupling of electroencephalography: A case‒control study

Theta-high gamma PAC in resting-state EEG can distinguish amyloid PET-positive patients with MCI from PET-negative patients, thereby providing a feasible, noninvasive biomarker for AD pathology. Integrating PAC analysis into routine EEG could improve the early identification of individuals who qualify for DMTs, thereby facilitating timely intervention.

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Publication Details

Journal
International Psychogeriatrics
Published
2025-08-01
DOI
https://doi.org/10.1016/j.inpsyc.2025.100132
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00

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article

Inferring amyloid pathologies among patients with mild cognitive impairment using phase‒amplitude coupling of electroencephalography: A case‒control study

Yuto Satake, Daiki Taomoto, Yuki Miyazaki, Masahiro Hata et al.
International Psychogeriatrics
EEG and Brain-Computer Interfaces
article

Inferring amyloid pathologies among patients with mild cognitive impairment using phase‒amplitude coupling of electroencephalography: A case‒control study

Yuto Satake, Daiki Taomoto, Yuki Miyazaki, Masahiro Hata, Kenji Yoshiyama, Ryohei Fukuma, Hideki Kanemoto, Takufumi Yanagisawa, Haruhiko Kishima, Takashi Suehiro, Manabu Ikeda, Kayako Isohashi, Shun Takahashi, Keiko Matsunaga
article en

Abstract

Theta-high gamma PAC in resting-state EEG can distinguish amyloid PET-positive patients with MCI from PET-negative patients, thereby providing a feasible, noninvasive biomarker for AD pathology. Integrating PAC analysis into routine EEG could improve the early identification of individuals who qualify for DMTs, thereby facilitating timely intervention.

International Psychogeriatrics
Osaka University of Economics (JP), Osaka City University (JP), Osaka Health Science University (JP), Osaka International Cancer Institute (JP), Osaka University Hospital (JP), The University of Osaka (JP)
Japan Agency for Medical Research and Development
Good health and well-being
Openalex Percentile: Top 79%
EEG and Brain-Computer Interfaces
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