Jason A. Langley

This study develops dynamic brain fingerprinting using state-specific functional connectivity, showing improved individual identification and cognitive prediction compared to static methods.

This study uses connectome-based predictive modeling to show that task-based brain functional connectivity can predict grip strength, a marker of frailty, with subcortical regions like the caudate nucleus playing a key role.

This study compares MRI metrics of locus coeruleus structure in younger and older adults, finding maximum magnetization transfer contrast as the best predictor of age group and sex-related differences.

The paper uses a hidden Markov model to analyze functional neuroimaging data and shows that locus coeruleus neuromelanin levels correlate with individual differences in maintaining attention-related neural states.

This paper introduces a novel hidden Markov model for analyzing dynamic functional connectivity states in neuroimaging data and shows it outperforms existing methods.