Randy Patrick Auerbach

This study evaluates Precision Functional Mapping (PFM) in youth multi-echo fMRI data, showing improved functional connectivity reliability and network stability with increased data quantity.

The paper identifies brain, breathing, and behavioral markers of interoceptive attention lapses in adolescents with anxiety and depression symptoms using machine learning and fMRI.

This study develops and validates an EMA protocol to assess anxiety and spatial memory dynamics in epilepsy patients, finding no direct link between anxiety and memory accuracy but identifying task familiarity and temporal trends.

The paper examines dynamic fMRI correlates of adolescent rumination and finds that adult models do not generalize, suggesting developmental differences in neural correlates of rumination.

This review evaluates EEG and fMRI studies on mindfulness-based neurofeedback, finding mixed evidence for brain changes and mental health benefits, with limitations in control groups and transfer effects.

This study uses mindfulness-based fMRI neurofeedback to target DMN hyperconnectivity in adolescents with affective disorder history, showing reduced within-DMN connectivity and increased state mindfulness.

This study improves automated white-matter tractography in lower-quality diffusion MRI data by training on high-quality Connectom data and manually annotated pathways.