Tharick Ali Pascoal

The paper identifies hyperconnected metabolic networks in preclinical Alzheimer's converters using FDG-PET data, showing network reorganization precedes clinical conversion.

This study evaluates harmonization methods to reduce assay and cohort effects in plasma p-tau217 measurements across two cohorts, finding that quantile mapping is most effective.

This study identifies Aβ42-carrying extracellular vesicles in plasma as biomarkers associated with neurodegeneration and neuroinflammation in Alzheimer's disease.

The paper examines apoE glycosylation in CSF and plasma samples from ADNI, finding reduced glycosylation in MCI and progressors, and associations with AD biomarkers like t-tau, p-tau181, and Aβ1-42.

This paper develops a multiple sampling scheme to construct stable brain metabolic networks from PET data, showing improved stability and reduced subject requirements compared to conventional methods.

The paper examines the relationship between cardiometabolic factors, blood beta-amyloid, and white matter hyperintensities in dementia-free individuals with cognitive complaints, finding stronger associations with cardiometabolic markers.

This study compares hippocampal transcriptomics across AD mouse models and human patients, finding greater similarity between mouse models and late-onset AD.

The paper investigates GFAP-positive astrocyte responses to amyloid-beta and tau pathologies in humans and mouse models, finding distinct molecular signatures associated with each pathology.

This study investigates how long- and short-range white matter fiber depletion contributes to cognitive deficits in fronto-temporal dementia using diffusion MRI and voxel-based morphometry.