Rayus Kuplicki

This study examines dose-dependent functional connectivity changes in healthy adults after low-intensity focused ultrasound (LIFU) targeting deep white matter tracts.

This study demonstrates that real-time fMRI-guided tACS can optimize brain stimulation to modulate frontoparietal connectivity and improve working memory accuracy.

The paper introduces a scalable toolkit for 3D surface-based brain analysis, demonstrating its utility in mapping subcortical shape variations across 21 international samples.

The paper develops a gene expression-based model (GAGE) to estimate biological age gaps in MDD and finds significant associations with age and disease status.

This study links medication use to distinct gut microbial features in anxiety and depression, showing antidepressants have a larger effect on microbiota than diagnoses.

The paper examines fear learning in individuals with major depressive disorder (MDD) and anxiety disorder plus MDD (AD+MDD), finding increased sustained threat circuitry response in AD+MDD during fear acquisition.

This study investigates neural responses to gastrointestinal sensations using a vibrating capsule, showing improved perceptual accuracy and correlated neural activity.

The paper links sign-tracking behavior in youth to externalizing behaviors and specific reward-related brain activation patterns.

This paper shows that Gaussian Process Regression uncertainty is not relevant for quantifying cohort heterogeneity in normative modeling.

The paper investigates habituation of brain regions in response to drug cues in addiction patients, finding consistent habituation in VMPFC, amygdala, and ventral striatum across populations.

This paper develops a method to select electrode montages for transcranial electrical stimulation using fMRI and computational head models, showing improved connectivity and craving reduction in a specific montage.

This paper describes a closed-loop tES-fMRI protocol for brain modulation, demonstrating feasibility, safety, and the ability to distinguish physiological changes from artifacts.

The paper develops and validates a database of pictorial cues for methamphetamine and opioids, showing drug images elicit higher arousal and lower valence than neutral images.

The paper replicates previous findings showing healthy individuals adjust prior expectations and interoceptive precision estimates based on task context using an active inference approach.

This study uses factor analysis on ACS data to identify neighborhood dimensions associated with poor mental health, finding affluence and African-American proportion strongly linked to mental health issues.

The paper proposes adjusting for chronological age in BrainAGE analysis to improve the detection of variable effects on brain aging.