Spatial discriminant ICA for RS-fMRI characterisation

• Published in: 2014 International Workshop on Pattern Recognition in Neuroimaging pp. 1 - 4
• Main Authors: Tabas, Alejandro, Balaguer-Ballester, Emili, Igual, Laura
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2014
• Subjects: Algorithm design and analysis; Brain; Computer architecture; Data mining; Independent component analysis; Noise

Resting-State fMRI (RS-fMRI) is a brain imaging technique useful for exploring functional connectivity. A major point of interest in RS-fMRI analysis is to isolate connectivity patterns characterising disorders such as for instance ADHD. Such characterisation is usually performed in two steps: first...