Pedro Rosa‐Neto

This study links higher hippocampal 18F-MK6240 uptake in TLE to increased seizure burden, altered NREM sleep microstructure, and impaired memory.

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

The paper presents an open dataset of cerebral tau deposition in young healthy adults using [18F]MK6240 PET to support imaging biomarker studies in non-geriatric populations.

This study quantifies inter-individual variability in PET-estimated receptor and transporter density across 12 neurotransmitter systems in the human brain.

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

The paper examines how changes in functional connectivity during rest and task relate to Alzheimer's pathology and episodic memory in older adults.

This study identifies molecular predictors of neuronal dysfunction in Alzheimer's disease by analyzing E/I imbalance and its relationship with neuropathology.

This study finds increased tau deposition in TLE patients using PET imaging, linked to cognitive impairment and brain connectivity patterns.

This study translates post-mortem brain multi-omics AD dementia subtypes into blood, MRI, and psychological markers in living individuals.

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 determines the cryo-EM structure of Alzheimer's disease tau filaments bound by the PET ligand MK-6240, revealing key binding interactions that inform ligand design.

The paper identifies PTPRS as a neuroprotective marker in Alzheimer's disease, showing associations with reduced tau pathology and synaptic degeneration, particularly in males.

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

The paper uses computational models to identify transcriptomic signatures linked to Aβ and tau-induced neuronal dysfunction in Alzheimer's disease, highlighting immune and inflammatory processes.

This study shows that phasic dopamine release in mice is not essential for basic motor behaviors, as motor functions remain intact despite near-complete loss of activity-dependent dopamine release.

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.

The paper develops a personalized brain activity model integrating functional MRI, Aβ, and tau-PET to reveal synergistic effects of Aβ and tau on cognitive impairment and neuronal excitability in Alzheimer's disease.

The paper examines the link between social isolation and Alzheimer's disease-related dementias risk using large population cohorts.

This study assesses white matter hyperintensity severity using multimodal MRI in Alzheimer's Disease by analyzing signal measures from different MRI contrasts and their associations with clinical variables.

Neurotransmitter receptor/transporter PET maps (19 targets, 1239 healthy participants) align with connectomes, explain MEG power, and track cognitive gradients and cortical thinning in 13 disorders.

The paper examines how structural and metabolic network integrity influences memory across Alzheimer's disease stages, finding pathology-dependent changes in these relationships.

The paper reports normative values for neuromelanin-sensitive MRI (NM-MRI) signal and volume in older adults and identifies a significant annual decrease in left substantia nigra volume.

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.

The paper identifies distinct morphometric network changes in aging and Alzheimer’s disease, showing additive effects of aging and AD on GM loss, with unique whole-brain pattern variability in AD.

This paper introduces Constrained Instrumental Variable (CIV) methods to improve Mendelian randomization by handling pleiotropy, showing better performance in simulations and application to ADNI data.

The paper identifies subtypes of functional brain connectivity in older adults linked to Alzheimer's disease symptoms and risk factors.