Rajat Mani Thomas

Harmonization techniques for machine learning studies using multi-site functional MRI data

This study evaluates seven harmonization techniques on multi-site fMRI data to determine their impact on disorder classification, finding that they have little effect in standard settings but may be critical in imbalanced scenarios.

Multimodal Data Integration Advances Longitudinal Prediction of the Naturalistic Course of Depression and Reveals a Multimodal Signature of Disease Chronicity

This study uses machine learning to predict 2-year MDD chronicity by integrating proteomics with clinical data, showing improved accuracy over psychiatrists' predictions.

Individual Prediction of Psychotherapy Outcome in Posttraumatic Stress Disorder using Neuroimaging Data

The paper uses neuroimaging data to predict psychotherapy outcomes in PTSD, identifying specific resting-state networks that distinguish responders from non-responders.

Cingulate dependent social risk assessment in rats

This study shows that rats exhibit bidirectional distress transmission regardless of familiarity, with cingulate-dependent mechanisms influencing both observer and demonstrator behavior.

Where and how our brain represents the temporal structure of observed action

This study uses fMRI and EEG to show the brain encodes sequence-specific motor information for predictable action sequences, suggesting the motor system implements perceptual predictive coding.