Grega Repovš

This study shows ketamine broadens neural spatial tuning and impairs spatial working memory in healthy humans, linking NMDAR antagonism to cortical microcircuit disruptions.

QuNex Recipes provide a framework for creating executable, human-readable workflows to ensure reproducibility in neuroimaging research.

This study shows that changes in aperiodic EEG activity, not just oscillations, reflect cognitive state changes during working memory tasks, suggesting a need to include aperiodic components in EEG analysis.

The paper identifies brain activity patterns associated with individual differences in spatial working memory strategies, showing distinct engagement of control and default networks for fine-grained vs. categorical representations.

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

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.

The paper investigates brain-behavior associations using resting-state functional connectivity edges, finding that diverse edges are more informative than uniform ones, but using all edges provides the best generalizability.

The paper analyzes neural state-trait variations in healthy young adults using resting-state fMRI to identify reproducible co-activation patterns linked to behavioral and cognitive features.

QuNex provides a platform for reproducible neuroimaging analytics, integrating multi-modal tools and enabling scalable, high-throughput processing across species and datasets.

The paper compares static and dynamic functional connectivity methods in fMRI, finding that dynamic estimates capture similar information to static ones.

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.

The paper investigates how abnormal activity flow in brain networks contributes to cognitive dysfunction in schizophrenia using fMRI data and activity flow mapping.

This study uses fMRI and a computational model to show that affective and task-similar distractors differentially impact working memory through distinct neural mechanisms.

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 creates a large-scale functional network map of the entire human brain, including cortical and subcortical regions, and releases it as an open resource for future research.