Valentin Riedl

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 introduces a metabolism-weighted connectome framework that links brain network organization with metabolic activity, revealing that high metabolic hubs are more vulnerable to neurodegeneration.

This study links intrinsic functional brain organization to energy expenditure patterns, showing that functional connectivity dimensions explain significant variance in metabolic maps.

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 paper quantifies the control costs of human brain dynamics using network control theory and finds that brain state transitions are more efficient within hierarchical groups.

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 shows that subjective confidence modulates BOLD responses to predictive and surprising stimuli in the ventral visual stream and anterior cingulate.

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.

The paper shows that predictable visual input reduces cortical oxygen consumption when subjects are confident, leading to energy savings of up to 12%.

This study investigates how non-invasive brain stimulation affects different cortical regions and individuals, finding varied effects on functional connectivity and neural signaling.