Roza G. Bayrak

The paper predicts chronological age from whole-brain fMRI-physiology coupling patterns, showing brain regions involved in autonomic regulation are key predictors.

This study examines how connectivity patterns of arousal regulation centers change with vigilance states using EEG and fMRI, showing distinct network correlations in low and high alertness.

This paper develops methods to estimate cerebrovascular reactivity (CVR) amplitude and delay in breath-hold fMRI when PETCO2 data quality is low, using rescaled RVT and deep learning-predicted PETCO2.

This study evaluates variability in white matter bundle segmentation across 42 groups using the same dataset, finding protocol variability exceeds other sources of inconsistency.

TractEM provides manual labeling protocols for white matter tractography to improve reproducibility and accuracy in brain connectivity studies.