John D. Murray

The paper identifies conserved large-scale cortical gradients in mice and humans, showing similar patterns in cytoarchitecture, gene expression, and connectivity across species.

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

The paper identifies brain-wide bi-directional connectivity alterations in cortico-striato-cerebellar circuits in schizophrenia using resting-state fMRI and validates findings with clustering and classification methods.

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.

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

This paper develops a distributed circuit model of fronto-parietal networks to study working memory and decision making, revealing distinct roles of PPC and PFC in encoding and filtering information.

The paper analyzes anti-correlated resting-state BOLD signals using dynamic functional connectivity and whole-brain modeling, finding hemodynamic response function drives fluctuations in connectivity and anti-correlations.