Pedro D. Maia

Selective vulnerability and resilience to Alzheimer's disease tauopathy as a function of genes and the connectome

The paper uses a network diffusion model to analyze how genetic factors and brain connectivity influence selective vulnerability or resilience to Alzheimer's tauopathy.

Cellular underpinnings of the selective vulnerability to tauopathic insults in Alzheimer's disease

The paper identifies cell types and classes that confer vulnerability or resilience to tau pathology in Alzheimer's disease using single-cell RNA sequencing data and a cell-type mapping pipeline.

Matrix Inversion and Subset Selection (MISS): A novel pipeline for quantitative mapping of diverse cell types across the murine brain

The paper introduces a computational pipeline called MISS to map diverse cell types in the murine brain using single-cell RNAseq and in situ hybridization data, showing improved accuracy through gene subset selection.

Modelling seeding and neuroanatomic spread of pathology in amyotrophic lateral sclerosis

This study uses a Network Diffusion Model to show that structural brain networks drive pathological spread in ALS, with seed regions in basal ganglia, thalamus, and insula, not the primary motor cortex.

Emergence of directional bias in tau deposition from axonal transport dynamics

The paper develops a computational model of tau-modified axonal transport to show how directional biases in tau spread arise from transport feedback and conformation-specific dysregulation.

Heterogeneity of Incipient Atrophy Patterns in Parkinsons Disease

This study applies a seed-inference algorithm to Parkinson's Disease patients to show that atrophy patterns vary significantly between individuals and are better predicted by individualized seed locations than standard regions.