Manu S. Goyal

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.

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.

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 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.

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 paper shows acute hyperglycemia increases non-oxidative glucose consumption in specific brain regions without altering cerebral blood flow or oxygen metabolism.

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

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.

This paper develops an automated framework for analyzing low-field MRI scans to detect biomarkers of severe brain swelling in cerebral malaria.