AI-enabled Computational Intelligence Approach to Neurodevelopmental Disorders Detection Using rs-fMRI Data

• Published in: Computers & electrical engineering Vol. 123; p. 110117
• Main Authors: Bandyopadhyay, Soham, Sarma, Monalisa, Samanta, Debasis
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.04.2025
• Subjects: Brain functional connectivity; Data-driven brain topology; Frequency specific connectivity; Functional magnetic resonance imaging(fMRI); Graph convolutional networks; Neurodevelopmental disorder; Brain functional connectivity; Graph convolutional networks; Neurodevelopmental disorder; Frequency specific connectivity; Functional magnetic resonance imaging(fMRI); Data-driven brain topology

Neurodevelopmental disorders (NDDs), including ADHD and ASD, profoundly impact children and adolescents. Leveraging Machine Learning (ML), Deep Learning (DeepL) on Functional magnetic resonance imaging (fMRI) data offers enhanced insights, advancing the understanding and diagnostic capabilities of N...