Sara M. Motlaghian

Explicitly Nonlinear Connectivity-Matrix Independent Component Analysis in Resting fMRI Data

This paper introduces a method to identify linear and explicitly nonlinear dependencies in resting fMRI data and applies it to detect differences in schizophrenia.

Explicitly Nonlinear Dynamic Functional Network Connectivity In Resting-State fMRI Data

This study introduces a method to analyze explicitly nonlinear dynamic functional connectivity in resting-state fMRI data and finds significant group differences between schizophrenia patients and healthy controls.

Nonlinear Functional Network Connectivity In Resting fMRI Data

This paper introduces a method to quantify nonlinear functional connectivity in resting-state fMRI data, showing distinct nonlinear patterns in schizophrenia patients compared to healthy controls.