<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "Detection of Alzheimer's Disease Using Dynamic Functional Connectivity Patterns in Resting-State fMRI"^^ . "Alzheimer's disease (AD) is a slowly progressive neurological disorder associated with impaired functional connectivity of the brain. A common approach is to examine functional connectivity patterns (FC) for AD diagnosis either statically based on Pearson correlation coefficients (PCC) or dynamically based on time-frequency coefficients of resting-state fMRI BOLD signals. However, there is still a need to develop a AD diagnostic model with dynamic FC patterns that can improve the performance of the classifier. In this paper, a classification of AD from normal cases is proposed by combining a machine learning algorithm with dynamic FC patterns (DFC). The proposed method introduces a new feature vector for the maximum value of variation in the time-frequency domain, called (MWCF). Moreover, analysis of variance (ANOVA) is used to select the most informative features. Compared to previous studies, the proposed method outperforms state-of-The-Art methods with an accuracy of 98.4. The proposed method is an efficient predictor for the classification of AD vs. NC and can be used as a potential biomarker in AD diagnosis. © 2022 IEEE."^^ . "2022" . . . "Institute of Electrical and Electronics Engineers Inc."^^ . . "Institute of Electrical and Electronics Engineers Inc."^^ . . . "2022 International Conference on Future Trends in Smart Communities, ICFTSC 2022"^^ . . . . . . . . . . . . . . . . . . . . "M.I."^^ . "Al-Hiyali"^^ . "M.I. Al-Hiyali"^^ . . "M.N.M."^^ . "Saad"^^ . "M.N.M. Saad"^^ . . "N."^^ . "Yahya"^^ . "N. Yahya"^^ . . "A."^^ . "Sadiq"^^ . "A. Sadiq"^^ . . "I."^^ . "Faye"^^ . "I. Faye"^^ . . . . . "HTML Summary of #17242 \n\nDetection of Alzheimer's Disease Using Dynamic Functional Connectivity Patterns in Resting-State fMRI\n\n" . "text/html" . .