Joshua B. Burt

Ketamine induces multiple individually distinct whole-brain functional connectivity signatures

This study investigates how ketamine induces distinct whole-brain functional connectivity patterns in individuals and links these patterns to gene expression and behavioral responses.

Personalized circuit modeling captures variation in cortical functional connectivity

The paper develops a biophysically-based circuit model to capture individual variation in cortical functional connectivity using resting-state fMRI data from the Human Connectome Project.

Mapping Brain-Behavior Space Relationships Along the Psychosis Spectrum

The paper develops a stable brain-behavior space mapping for psychosis-spectrum disorders using symptom and brain data, showing univariate approaches outperform multivariate ones for individualized prediction.

Transcriptomics-informed large-scale cortical model captures topography of pharmacological neuroimaging effects of LSD

The paper integrates transcriptomics with large-scale cortical modeling to simulate LSD's effects on brain function, revealing serotonin-2A receptor-mediated changes in cortical connectivity.

Generative modeling of brain maps with spatial autocorrelation

The paper introduces a generative null model to create spatially autocorrelated surrogate brain maps for hypothesis testing in brain organization studies.

Hierarchical heterogeneity across human cortex shapes large-scale neural dynamics

The paper develops a dynamical circuit model of human cortex incorporating hierarchical heterogeneity to better explain large-scale neural dynamics and functional connectivity.

Changes in global brain connectivity in LSD-induced altered states of consciousness are attributable to the 5-HT2A receptor

This study shows that LSD-induced changes in brain connectivity are mediated by the 5-HT2A receptor, as demonstrated by the blocking effect of a 5-HT2A antagonist.

Hierarchy of transcriptomic specialization across human cortex captured by myelin map topography

The paper uses MRI-derived myelin maps to identify hierarchical transcriptomic gradients in human cortex, linking anatomical hierarchy to gene expression patterns.