EEG and ERP biosignatures of mild cognitive impairment for longitudinal monitoring of early cognitive decline in Alzheimer’s disease DOI Creative Commons
Amir H. Meghdadi, David H. Salat,

Joanne M. Hamilton

и другие.

PLoS ONE, Год журнала: 2024, Номер 19(8), С. e0308137 - e0308137

Опубликована: Авг. 8, 2024

Cognitive decline in Alzheimer's disease is associated with electroencephalographic (EEG) biosignatures even at early stages of mild cognitive impairment (MCI). The aim this work to provide a unified measure by aggregating from multiple EEG modalities and evaluate repeatability the composite an individual level. These included resting state (eyes-closed) two event-related potential (ERP) tasks on visual memory attention. We compared individuals MCI (n = 38) age-matched healthy controls HC 44). In EEG, group exhibited higher power Theta (3-7Hz) lower Beta (13-20Hz) frequency bands. both ERP tasks, reduced late positive (LPP), delayed component latency, slower reaction time, decreased response accuracy. Cluster-based permutation analysis revealed significant clusters difference between groups frequency-channel time-channel spaces. measures performance (12 total) were selected as predictors MCI. trained support vector machine (SVM) classifier achieving AUC 0.89, accuracy 77% cross-validation using all data. Split-data validation resulted (AUC 0.87, 76%) 0.75, 70%) testing data baseline follow-up visits, respectively. Classification scores visits correlated (r 0.72, p<0.001, ICC 0.84), supporting test-retest reliability biosignature. results utility EEG/ERP for prognostic testing, repeated assessments, tracking treatment outcomes limited duration clinical trials.

Язык: Английский

EEG and ERP biosignatures of mild cognitive impairment for longitudinal monitoring of early cognitive decline in Alzheimer’s disease DOI Creative Commons
Amir H. Meghdadi, David H. Salat,

Joanne M. Hamilton

и другие.

PLoS ONE, Год журнала: 2024, Номер 19(8), С. e0308137 - e0308137

Опубликована: Авг. 8, 2024

Cognitive decline in Alzheimer's disease is associated with electroencephalographic (EEG) biosignatures even at early stages of mild cognitive impairment (MCI). The aim this work to provide a unified measure by aggregating from multiple EEG modalities and evaluate repeatability the composite an individual level. These included resting state (eyes-closed) two event-related potential (ERP) tasks on visual memory attention. We compared individuals MCI (n = 38) age-matched healthy controls HC 44). In EEG, group exhibited higher power Theta (3-7Hz) lower Beta (13-20Hz) frequency bands. both ERP tasks, reduced late positive (LPP), delayed component latency, slower reaction time, decreased response accuracy. Cluster-based permutation analysis revealed significant clusters difference between groups frequency-channel time-channel spaces. measures performance (12 total) were selected as predictors MCI. trained support vector machine (SVM) classifier achieving AUC 0.89, accuracy 77% cross-validation using all data. Split-data validation resulted (AUC 0.87, 76%) 0.75, 70%) testing data baseline follow-up visits, respectively. Classification scores visits correlated (r 0.72, p<0.001, ICC 0.84), supporting test-retest reliability biosignature. results utility EEG/ERP for prognostic testing, repeated assessments, tracking treatment outcomes limited duration clinical trials.

Язык: Английский

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