John C.S. Breitner

The paper investigates the association between CSF complement proteins and early AD pathology in at-risk individuals, finding C1q and Factor H linked to tau and synaptic markers.

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

The paper shows that cholinergic synaptic plasticity, specifically VAChT responses to tau, correlates with cognitive resilience in presymptomatic AD.

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

The paper identifies joint signatures of microstructural and morphological changes in the Alzheimer's spectrum using MRI metrics and non-negative matrix factorization, linking them to risk factors and disease progression.

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.

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 examines associations between white matter microstructure and Aβ/tau pathology in specific brain bundles in at-risk older adults, finding diffusion metrics linked to Aβ and tau levels at cortical endpoints.

The paper analyzes fMRI data from asymptomatic older adults to investigate how APOE4 genetic status affects memory-related brain activity during a spatial source recollection task.

The paper develops a model to predict brain aging from resting state fMRI and finds accelerated brain aging in preclinical Alzheimer's disease, independent of amyloid-beta pathology.

The paper identifies a predictive signature of cognition and brain atrophy for progression to Alzheimer’s dementia using machine learning, validated in two MCI cohorts with high positive predictive value.

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.

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