Shruti G. Vij

The paper identifies latent dimensions in task-fMRI data that explain more variance than conventional cognitive categories, suggesting current cognitive frameworks may not fully capture brain activation patterns.

This study introduces a novel bottom-up approach to analyze task-driven brain activity using phase synchronization and independent component analysis, revealing dynamic network synchronization across cognitive tasks.

This study examines age-related changes in spatial and temporal features of resting state fMRI data using IVA, revealing stable network configurations but age-related shifts in local organization and frequency spectrum.