Jacob W. Vogel

The paper compares three plasma proteomic metrics across organ systems to assess their associations with brain structure and neurodegenerative disease, finding distinct relationships and modest predictive value.

The paper identifies robust multicellular axes associated with Alzheimer's disease pathology and sex using single-cell data from 427 donors, validated in an independent dataset.

The paper shows aging and Alzheimer's disease alter distinct functional connectivity axes in the brain, with AD affecting the sensory-association axis and aging affecting the representation-executive axis.

HippoGenes creates transcriptomic maps of the human hippocampus using spatial statistical models and the Allen Human Brain Atlas, enabling subregional gene expression analysis and disease-related molecular decoding.

The paper introduces a dynamical ATN model to simulate and predict the spatiotemporal progression of Aβ, tau, and neurodegeneration in Alzheimer's disease using multimodal imaging data.

The paper shows that individual functional brain connectivity improves the explanation of tau PET patterns in Alzheimer's disease compared to group-level data.

The paper investigates whether hemispheric asymmetry in tau pathology in Alzheimer's disease is linked to reduced inter-hemispheric connectivity or asymmetric amyloid-beta distribution, finding a strong association with amyloid-beta laterality.

This study uses mass spectrometry to analyze retinal and hippocampal tau phosphorylation in Alzheimer's disease and multiple sclerosis, finding significant differences in p-tau peptides between diagnoses and Braak stages.

The paper develops a mechanistic model of tau protein dynamics using PET data to predict regional tau accumulation and disease progression stages in Alzheimer's patients.

This paper presents a normative framework for brain asymmetry across the lifespan using a large neuroimaging dataset, revealing distinct spatial patterns and providing tools for clinical and research applications.

This study investigates how brain network dynamics and regional vulnerability influence tau propagation and load in Alzheimer's disease using multi-scale simulations.

This paper introduces a laterality index to quantify hemispheric asymmetry in cortical maps using geometric eigenmodes, validated on fMRI and tau-PET data from Alzheimer's disease patients.

This study identifies a common brain circuit in the hippocampus associated with psychosis caused by lesions, suggesting it as a target for neuromodulation.

The paper models disease progression in Lewy body disorders using neuropathological data, identifying three distinct trajectories of alpha-synuclein pathology with different clinical associations.

The paper identifies three conserved spatiomolecular gradients in the adult human brain that align with developmental axes and predict functional territories.

The paper identifies reference proteins in cerebrospinal fluid that improve the accuracy and interpretability of biomarkers for brain diseases by accounting for inter-individual variability.

This study identifies the mTORC1-4E-BP1 axis as a neuroprotective mechanism in microglia under AD conditions, showing its role in suppressing inflammation and neurodegeneration.

This study identifies 928 genes associated with brain weight variation across three datasets and links them to neurodevelopmental processes and brain function.

The paper identifies proteins and molecular processes related to brain connectivity by integrating neuroimaging, proteomic, and gene expression data from human brain regions.

The paper identifies a tau-first subtype of Alzheimer's disease through analysis of post mortem and in vivo data, showing higher soluble TREM2 levels in tau-first cases.

This study tracks cortical activity propagations in youth, finding increased top-down propagations with cognitive control demands and development.

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.

CuBIDS streamlines reproducible curation of large BIDS datasets by validating metadata, managing variability, and preparing data for preprocessing pipelines.

The paper examines how individual differences in functional brain network topography relate to psychopathology dimensions in youth using machine learning and fMRI data.

This study uses an epidemic spreading model to analyze A{beta} deposition patterns in sAD and ADAD, finding similar but distinct spreading patterns in some ADAD patients.

The paper introduces brain charts as a standardized resource for benchmarking brain morphology across the human lifespan using MRI data from a large and diverse cohort.

The paper investigates how molecular and connectomic vulnerabilities contribute to cortical abnormalities across multiple brain disorders using MRI data from 47,000 individuals.

The paper compares voxel- and surface-based methods for generating structural connectomes, finding voxel-based methods marginally better for age prediction and individual representation.

This study finds that higher cholesterol and diastolic blood pressure levels are linked to reduced brain functional connectivity over time in individuals at risk for Alzheimer's disease.

The paper maps gene expression patterns to functional activation patterns in the cortex, identifying a gradient separating affective and cognitive domains and linking it to cognitive performance.