Identifying differences in brain activities and an accurate detection of autism spectrum disorder using resting state functional-magnetic resonance imaging : A spatial filtering approach

• Published in: Medical image analysis Vol. 35; pp. 375 - 389
• Main Authors: Subbaraju, Vigneshwaran, Suresh, Mahanand Belathur, Sundaram, Suresh, Narasimhan, Sundararajan
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.01.2017; Elsevier BV
• Subjects: Adolescent; Adult; Age; Autism; Autism spectrum disorder; Autism Spectrum Disorder - diagnostic imaging; Autism Spectrum Disorder - physiopathology; Brain; Brain - physiopathology; Brain mapping; Brain Mapping - methods; Case-Control Studies; Classification; Consortia; Covariance matrix; Data exchange; Feature extraction; Female; Females; Fukunaga–Koontz transform; Functional connectivity; Functional Laterality; Functional magnetic resonance imaging; Hemispheric laterality; Humans; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Male; Males; Medical diagnosis; Medical imaging; Neuroimaging; Patients; Prefrontal cortex; Prefrontal Cortex - physiopathology; Rest; Resting state functional magnetic resonance imaging; Spatial filtering; Support vector machine; Time series; Variance; Functional connectivity; Resting state functional magnetic resonance imaging; DARTEL; EEG; EST; GLM; MNI; Support vector machine; SVM; AAL; Autism spectrum disorder; fMRI; ASD; ABIDE; BOLD; Spatial filtering; SFM; Fukunaga–Koontz transform; PCP; DPARSF
• ISSN: 1361-8415; 1361-8423; 1361-8423
• DOI: 10.1016/j.media.2016.08.003

•Identify neural activity differences using fMRI and an accurate diagnosis of ASD.•Spatial filtering for discriminative features and spatial map of activity differences.•Distinguishable activities more prevalent in the right hemisphere for ASD patients.•For male ASD patients, shift in resting state activities to prefrontal cortex.•Better classification performance on ABIDE data set using discriminative features. [Display omitted] This paper presents a new approach for detecting major differences in brain activities between Autism Spectrum Disorder (ASD) patients and neurotypical subjects using the resting state fMRI. Further the method also extracts discriminative features for an accurate diagnosis of ASD. The proposed approach determines a spatial filter that projects the covariance matrices of the Blood Oxygen Level Dependent (BOLD) time-series signals from both the ASD patients and neurotypical subjects in orthogonal directions such that they are highly separable. The inverse of this filter also provides a spatial pattern map within the brain that highlights those regions responsible for the distinguishable activities between the ASD patients and neurotypical subjects. For a better classification, highly discriminative log-variance features providing the maximum separation between the two classes are extracted from the projected BOLD time-series data. A detailed study has been carried out using the publicly available data from the Autism Brain Imaging Data Exchange (ABIDE) consortium for the different gender and age-groups. The study results indicate that for all the above categories, the regional differences in resting state activities are more commonly found in the right hemisphere compared to the left hemisphere of the brain. Among males, a clear shift in activities to the prefrontal cortex is observed for ASD patients while other parts of the brain show diminished activities compared to neurotypical subjects. Among females, such a clear shift is not evident; however, several regions, especially in the posterior and medial portions of the brain show diminished activities due to ASD. Finally, the classification performance obtained using the log-variance features is found to be better when compared to earlier studies in the literature.