Isaac N. Treves

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.

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.

The paper identifies a reliable brain state associated with trait mindfulness in adolescents using dynamic functional connectivity analysis of fMRI data.

The paper uses connectome predictive modeling to identify neural correlates of trait mindfulness subscales in resting-state fMRI data from three samples.

This study examines individual differences in neural representations of mind-wandering using dense sampling and functional MRI, finding both consistent and variable patterns across individuals.

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 compares inference-based decision-making in mice and humans using a foraging task, showing humans learn the strategy much faster and identifying orbitofrontal cortex's role in maintaining inference-based decisions.