Alex Treacher

This study identifies genes linked to brain activity that show disrupted associations in autism spectrum disorder, highlighting excitation-inhibition imbalance and regional effects.

This paper uses deep learning on pre-treatment reward processing fMRI and clinical data to predict antidepressant outcomes, achieving up to 37% variance explained and remission prediction with NNT 2-4.

This paper uses rs-fMRI features and machine learning to predict Parkinson's disease progression, achieving significant variance explanation in clinical scores over time.