Eigenvector Centrality Characterization on fMRI Data: Gender and Node Differences in Normal and ASD Subjects

• Published in: Journal of autism and developmental disorders Vol. 54; no. 7; pp. 2757 - 2768
• Main Author: Saha, Papri
• Format: Journal Article
• Language: English
• Published: New York Springer 01.07.2024; Springer Nature B.V
• Subjects: Algorithms; Autism; Autism Spectrum Disorders; Brain; Brain research; Budding; Classification; Control Groups; Database Management Systems; Diagnosis; Disease; Eigenvectors; Epilepsy; Females; Formalism; Functional magnetic resonance imaging; Gender differences; Genetic Disorders; Graph theory; Individualized Instruction; Literary Devices; Machine learning; Magnetic resonance imaging; Males; Mental Disorders; Methods; Network centrality; Networks; Neurobiology; Neuroimaging; Periodicals; Pervasive developmental disorders; Statistical analysis; Structure-function relationships; Suitability; Visual perception; India

With the budding interests of structural and functional network characteristics as potential parameters for abnormal brains, an essential and thus simpler representation and evaluations have become necessary. Eigenvector centrality measure of functional magnetic resonance imaging (fMRI) offer region...