Armin Iraji

This paper introduces a new method for estimating connectivity that captures both static and dynamic frequency profiles, showing it can detect group differences in resting fMRI data between schizophrenia patients and controls.

This study analyzes how cerebrovascular reactivity affects static and dynamic functional network connectivity using fMRI, finding weaker connectivity during vasodilation and incomplete recovery after CO2 inhalation.

This paper uses ultra-high-order ICA to identify fine overlapping functional dynamic parcellations of the brain, highlighting their evolution over time.

This paper introduces a method to fuse functional and structural MRI data by integrating temporal information, identifying linked variability and covariation in schizophrenia.

This paper introduces the spatial chronnectome, a method to analyze dynamic spatiotemporal brain network interactions, revealing transient network changes and cognitive relevance in schizophrenia.

This paper introduces a hierarchical approach to analyze spatial and temporal dynamics in brain function, revealing new insights into the chronnectome and identifying changes in schizophrenia patients.