David Tomeček

The paper attempts to replicate a study linking personality to functional connectomics but fails to replicate any of the reported neuroimaging correlates.

This study evaluates methods to improve cross-site classification of first-episode schizophrenia using multimodal neuroimaging data, finding that domain adaptation strategies partially mitigate site-related performance degradation.

The paper examines the relationship between personality traits and brain activity using naturalistic fMRI data, finding that higher Neuroticism/Harm Avoidance is associated with lower typicality in brain activity.

This study uses fMRI to compare neural responses to ancestral, modern, and airborne threats, finding distinct activation patterns for each category.

This study uses fMRI and EEG to distinguish internally and externally oriented spontaneous thoughts during rest, finding distinct neural patterns in brain networks and alpha power.

This study investigates altered sense of agency in first-episode schizophrenia patients using neuroimaging, finding consistent DMN hypo-activation across two independent cohorts.

This study compares ROI-level and network-level functional connectivity approaches for early schizophrenia classification, finding that medium-resolution atlases provide the best accuracy.

This study examines hyper- and hypoconnectivity in early schizophrenia using fMRI data, finding localized dysconnections and highlighting the impact of denoising strategies on results.

This study examines structural brain heterogeneity in schizophrenia using multimodal MRI data from the ENIGMA dataset, finding higher frontotemporal heterogeneity and left parahippocampal homogeneity in patients.

The paper introduces a measure called Typicality of Functional Connectivity to assess motion artifacts in resting state fMRI data across multiple datasets and preprocessing pipelines.