Anran Yao¹, Yan Wang¹, Jiahui Sun¹, Yixing Wang¹, Qianqian Xie¹, Ziwei Chen¹, Xiaoyu Wang¹, Chunyan Li¹, Jiafeng Wang¹, Lin Cong¹, Tingting Hou¹, Lin Song¹, Yifeng Du¹, ChengxuanQiu^1,2

¹Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China,²Karolinska Institutet-Stockholm University, Solna, Sweden.

 

INTRODUCTION:Older people with Alzheimer's disease (AD) slow alpha rhythms in resting-state electroencephalogram (rsEEG). Alpha peak frequency-related parameters have the potential to screen for cognitive impairment, providing a non-invasive and convenient new method for the early identification of AD patients.

 

METHODS:1941 participants (MIND-China cohort), age ≥60 3-minute rsEEG, last 1- minute of the occipital-parietal alpha rhythm analyzed. The rsEEG parameters of alpha peak frequency: NCL, MOF, CDα, and As. Statistical analysis: logistic and linear regression models, receiver operating characteristic (ROC) curves.

RESULTS:NCL and MOF were significantly associated with MCI,and showed significant correlations with MMSE, memory, verbal fluency, and executive function. Associations with AD were observed for CDα and As, and CDα and As showed significant associations with plasma P-tau217 and GFAP. Alpha peak frequency-related parameters in combination with demographic data showed excellent performance in distinguishing AD, with area under the curve being 0.803.

CONCLUSIONS：Alpha peak frequency-related parameters show differences in the AD continuum and have been confirmed to have significant correlations with cognitive domains and plasma biomarker. Alpha peak frequency-related parameters in combination with demographic data enables robust AD classification. Alterations in EEG-derived alpha peak frequency-related parameters can be a biomarker for clinical staging of the cognitive continuum in older adults.

REFERENCES：[1] Zhao M et al. J Cereb Blood Flow Metab. 2024. Association between electroencephalogram alpha-band oscillations and executive and processing functions in patients with cerebral small vessel diseases. [2] López ME et al. Geroscience. 2020. A multivariate model of time to conversion from mild cognitive impairment to Alzheimer's disease. [3] Cecchetti G et al. Eur J Neurol. 2024. Analysis of individual alpha frequency in a large cohort from a tertiary memory center.

CONTACT：Anran Yao Shandong Provincial Hospital, Shandong First Medical University 13406780209@163.com