Samira Maria Epp

The paper uses energy metabolism to infer directed communication patterns in the human cortex, showing sensory systems drive higher-order networks and default mode networks act as receivers.

The paper shows that BOLD signal changes can oppose oxygen metabolism in 40% of voxels, particularly in the default mode network, challenging the canonical interpretation of fMRI.

This study uses combined PET/MR imaging to show that visual stimulation in humans increases glucose metabolism more than oxygen consumption in visual regions, while other cortical areas show oxidative downregulation.

The paper investigates the energetic costs of neuromodulator signaling in the human brain and finds that evolutionarily novel connections have higher energetic costs than sensory-motor pathways.

This study examines how neural variability during working memory is regulated by dopamine, functional integration, and decision-making using PET and fMRI data.

The paper finds that higher cognitive performers show greater brain signal variability in response to more complex visual stimuli, suggesting a link between neural variability and cognitive performance.

The paper examines how local temporal variability in the human brain relates to functional network integration, finding that thalamo-cortical variability upregulation is strongly associated with higher network integration.