Keyvan Mahjoory

This paper evaluates hierarchical shallow piecewise-linear RNNs for modeling individual resting-state fMRI, finding they capture functional connectivity but have limited predictive power for phenotypic variables.

This study uses CNNs to identify brain interactions involved in spatial auditory attention from EEG data, achieving high classification accuracy and revealing specific frequency-band interactions.

The paper shows that the peak frequency of brain oscillations decreases along the posterior-anterior axis in the human cortex, aligning with cortical hierarchy and thickness.

The paper examines hemispheric asymmetries in EEG and fMRI related to approach and avoidance behavior, finding no significant links to eating behavior or BMI.

This study compares age-related changes in BOLD and EEG signal variability in healthy adults, finding distinct patterns and no significant associations between the measures.

This study assesses the consistency of EEG source localization and connectivity estimates across different models and software, finding variability in effective connectivity but stability in source localization.