A study of spatial variation in fMRI brain networks via independent vector analysis: Application to schizophrenia

• Published in: 2014 International Workshop on Pattern Recognition in Neuroimaging pp. 1 - 4
• Main Authors: Gopal, Shruti, Miller, Robyn, Michael, Andrew, Adali, Tulay, Baum, Stefi A., Calhoun, Vince D.
• Format: Conference Proceeding
• Language: English; Japanese
• Published: IEEE 01.06.2014
• Subjects: Algorithm design and analysis; Analytical models; Basal ganglia; Brain modeling; Imaging; IVA; schizophrenia; spatial variability; Vectors; Visualization

Spatial variability in intrinsic brain networks has not been well studied in fMRI. Independent vector analysis (IVA), is a blind source separation approach that can be used for segregating fMRI data into temporally coherent, maximally spatially independent networks enabling comparison among subjects...