Aaron R. Seitz

PLFest is validated as a reliable, scalable platform for visual and cognitive assessment across multiple sites using consumer-grade devices.

This study examines oculomotor behavior in patients with central vision loss using gaze-contingent displays and longitudinal data to characterize eye movement profiles.

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.

This study investigates perceptual priors and hallucinations in chronic schizophrenia using a visual statistical learning task, finding comparable prior acquisition but reduced hallucinations in patients.

The paper investigates how autistic and schizotypal traits affect Bayesian visual integration, finding that autistic traits are linked to more accurate sensory processing rather than weaker priors.