Yang M Liu

Benchmarking foundation models for resting-state functional magnetic resonance imaging time series in cognitive aging research

This study benchmarks foundation models for resting-state fMRI time series in cognitive aging, finding mixed results on their utility for cognitive assessment and prediction.

Resting-state fMRI foundation models enable robust and generalizable latent neural target discovery in cognitive aging interventions

This paper evaluates rsfMRI foundation models for identifying robust neural patterns predicting cognitive intervention outcomes in aging, showing improved performance over conventional methods.

Early-session facial dynamics predict executive-function response to digital cognitive interventions in older adults: development and external validation

The paper develops and validates a Facial Signature Score (FSS) from facial dynamics during cognitive interventions to predict executive function response in older adults.