Maria B. Misiura

This paper predicts mental health quality using deep learning on resting-state fMRI data, achieving higher accuracy than alternative models.

The paper uses a kernel SVM algorithm with neuromark ICA to predict treatment response in bipolar and major depressive disorders with up to 89% accuracy.

The paper examines differences in default mode network connectivity in Alzheimer’s disease between African Americans and Caucasians, finding race-specific patterns in functional connectivity and cognitive function.