Graph Fourier transform of fMRI temporal signals based on an averaged structural connectome for the classification of neuroimaging

• Published in: Artificial intelligence in medicine Vol. 106; p. 101870
• Main Authors: Brahim, Abdelbasset, Farrugia, Nicolas
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.06.2020; Elsevier
• Subjects: Artificial Intelligence; Classification; Computer Science; Graph signal processing; Machine learning; Neuroimaging; Resting-state analysis; Neuroimaging; Graph signal processing; Resting-state analysis; Machine learning; Classification; Graph Signal Processing; Machine Learning; Resting-State Analysis

•A novel modelling time series approach, which is applied on rs-fMRI brain imaging, is presented.•The proposed approach restores informative features related to neuro-psychiatric disease, such as Autism Spectrum Disorder, as exemplified by statistically robust gains in classification metrics when co...