Future of Alzheimer's detection: Advancing diagnostic accuracy through the integration of qEEG and artificial intelligence

• Published in: NeuroImage (Orlando, Fla.) Vol. 317; p. 121373
• Main Authors: Rezaei, Sahar, Asadirad, Farzan, Motamedi, Alireza, Kamran, Mohammadsadegh, Parsa, Farzaneh, Samimi, Haniyeh, Ghannadikhosh, Parna, Zahmatyar, Mahdi, Hosseinzadeh, Seyed Ali, Arabi, Hossein
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 15.08.2025; Elsevier Limited; Elsevier
• Subjects: Accuracy; Aged; Alzheimer Disease - diagnosis; Alzheimer Disease - physiopathology; Alzheimer's disease; Artificial Intelligence; Biomarkers; Brain research; Cognitive ability; Costs; Deep Learning; Dementia; Dementia disorders; Diagnosis; Disease; Early detection; EEG; Electroencephalography; Electroencephalography - methods; Electroencephalography - trends; Humans; Integration; Life expectancy; Machine learning; Memory; Neural networks; Neurodegeneration; Neurodegenerative diseases; Pathology; Population studies; Quantitative electroencephalography; Radiology/Diagnostic Imaging; Wavelet transforms; ADD; CNN; FNN; LDA; AUROC; KNN; SVM; NNet; Early detection; AUC; DLBPD; PDD; Quantitative electroencephalography; FFT; Nbayes; NADD; RBF; GC; Alzheimer's disease; MODWT; EC; ML; CWT; qEEG; AD; EO; IQR; LogReg; PCC; MCI; RF; NC; SCD; PE; LIME; Machine learning; bvFTD; SUVR; DLB; HC; Artificial intelligence; maximal overlap discrete wavelet transform; frontotemporal dementia; local interpretable model-agnostic explanations; neural network; permutation entropy; convolutional neural networks; normal controls; logistic regression; support vector machines; K-nearest neighbours; Alzheimer’s disease; interquartile Range; Fast Fourier Transform; probable DLB; radial basis function; standardized uptake value ratios; non-Alzheimer’s disease dementia; eye-closed; dementia with Lewy bodies; feed-forward neural network; random forest; continuous wavelet transform; eye-open; granger causality; linear discriminant analysis; healthy controls; Pearson correlation coefficient; area under the receiver operating characteristic curve; Parkinson's disease dementia; area under the curve; subjective cognitive decline; Naive Bayes; mild cognitive impairment; Alzheimer's disease dementia
• ISSN: 1053-8119; 1095-9572; 1095-9572
• DOI: 10.1016/j.neuroimage.2025.121373

•Quantitative electroencephalography (qEEG) combined with machine learning (ML) is a promising tool for early dementia detection. qEEG-ML shows high accuracy for early diagnosis and differentiation of Alzheimer’s disease (AD), mild cognitive impairment (MCI), and dementia with Lewy bodies (DLB).•qEE...