Andrei G. Vlassenko

Unveiling functional-metabolic synergy in the healthy brain: multivariate integration of dynamic FDG-PET and resting-state fMRI

This paper uses multivariate PLSC to analyze functional-metabolic coupling in the brain, finding strong links between fMRI-derived functional connectivity and glucose metabolism parameters.

Task-evoked deactivations: dissociation between BOLD fMRI and FDG

The paper investigates task-evoked BOLD fMRI deactivations and finds that they do not correlate with decreased glucose consumption, suggesting metabolic stability or increase in these regions.

Individual-level metabolic connectivity captures cortical morphology and their coupling strengthens with age

Glucose Metabolism echoes Long-Range Temporal Correlations in the Human Brain

This study links long-range temporal correlations in brain activity to glucose metabolism and biosynthetic processes, showing higher correlations correlate with greater metabolic costs.

HypoAD: volumetric and single-cell analysis reveals changes in the human hypothalamus in aging and Alzheimer's disease

HypoAD integrates MRI and snRNA-seq to analyze hypothalamic changes in aging and Alzheimer's disease, revealing volume and gene expression alterations in key subregions and cell types.

Aging and the Spectral Properties of Brain Hemodynamics

The paper examines how aging affects cerebral glucose metabolism by analyzing spectral properties of resting-state fMRI signals and identifies a subset of older adults with divergent patterns linked to white matter pathology.

The brain's "dark energy" puzzle upgraded: FDG uptake, delivery and phosphorylation, and their coupling with resting-state brain activity

The paper predicts [18F]FDG PET parameters using rs-fMRI and 15O PET data, showing rs-fMRI and CMRO2 explain 45% of Ki variance.

Precision measurements of brain oxygen utilization with positron emission tomography

This paper develops a model for improving precision in measuring brain oxygen utilization using [15O] tracers and PET, showing that IDIFs provide more reliable results than AIFs.

Brain aerobic glycolysis and resilience in Alzheimer disease

This study finds that preserved aerobic glycolysis in the brain is linked to resilience against Alzheimer's disease pathology, while white matter hyperintensity burden is associated with reduced youthful AG patterns.