Matej Murgaš

Cellular and mitochondrial correlates of regional glucose metabolism in the human cortex

The paper investigates the cellular and mitochondrial factors influencing regional glucose metabolism in the human cortex using multimodal data integration.

Open-access template and database approaches for pseudo-CT generation in brain PET/MRI attenuation correction

The paper presents an open-access framework for PET attenuation correction using pseudo-CT methods with a database of MRI-CT scans, showing that UCL achieves the lowest quantification error.

Network-specific metabolic cost of functional connectivity in the human brain

The paper examines network-specific metabolic costs of functional connectivity in the human brain using PET/MR data, revealing differences in metabolic demand across brain networks and changes in Alzheimer's disease.

Reconfiguration of default mode metabolic demands and network organization during acute stress

This study examines how acute psychosocial stress reconfigures brain metabolism and network organization using PET/MRI, revealing changes in the default mode network and its interactions with other networks.

Test-Retest Reliability of Dopaminergic fPET and fMRI Measures During Reward Processing

This study evaluates the test-retest reliability of fPET and fMRI during reward processing, finding comparable reliability but differing in target areas and dynamic assessment capabilities.

High-temporal resolution metabolic connectivity resolved by component-based noise correction

This paper develops a noise correction method for high-temporal resolution fPET data, showing it improves metabolic connectivity estimation across different scanners and frequency bands.

A Comparative Evaluation of Molecular Connectivity and Covariance Approaches

This paper compares molecular connectivity (MC) and covariance (mCov) methods using fPET data to assess metabolic associations between brain regions, finding that different methods perform better at varying temporal resolutions.

A Unified Approach for Identifying PET-based Neuronal Activation and Molecular Connectivity with the functional PET toolbox

The paper introduces a unified fPET toolbox for analyzing neuronal activation and molecular connectivity, validated across cognitive tasks and radiotracers.

Evaluation of Data-based Motion Correction Techniques for High Temporal Resolution Functional PET

This study evaluates motion correction techniques for high temporal resolution fPET and finds that neither deep learning nor sliding window averaging significantly improves motion artifact mitigation compared to standard methods.

Connecting the Dots: Approaching a Standardized Nomenclature for Molecular Connectivity Combining Data and Literature

The paper introduces a standardized nomenclature for PET-based molecular connectivity and covariance to improve reproducibility and interpretation across imaging modalities and radiotracers.

Regional gene expression patterns are associated with task-specific brain activationduring reward and emotion processing measured with functional MRI

The paper correlates gene expression patterns with fMRI activation maps during reward and emotion tasks, identifying gene regulators linked to depression risk.

Correlation of receptor density and mRNA expression patterns in the human cerebral cortex

The paper examines the correlation between mRNA expression and receptor density in the human cerebral cortex using autoradiography and transcriptomic data from multiple sources.

Enrichment of disease-associated genes in cortical areas defined by transcriptome-based parcellation

The paper identifies cortical areas with enriched disease-associated genes using transcriptome-based parcellation and GWAS data, revealing potential roles in psychiatric and neurological disorders.