Data-driven disease progression models are an emerging set of computational tools that
reconstruct disease timelines for long-term chronic diseases, providing unique insights into …

Alzheimer's disease (AD) is one of the most common form of dementia which mostly affects
elderly people. AD identification in early stages is a difficult task in medical practice and …

Brain aging process is influenced by various lifestyle, environmental and genetic factors, as
well as by age-related and often coexisting pathologies. Magnetic resonance imaging and …

β-Amyloid plaques and tau-containing neurofibrillary tangles are the two neuropathological
hallmarks of Alzheimer's disease (AD) and are thought to play crucial roles in a …

The nature of mental illness remains a conundrum. Traditional disease categories are
increasingly suspected to misrepresent the causes underlying mental disturbance. Yet …

Introduction The overall goal of the Alzheimer's Disease Neuroimaging Initiative (ADNI) is to
validate biomarkers for Alzheimer's disease (AD) clinical trials. ADNI is a multisite …

The history of Alzheimer's disease (AD) started in 1907, but we needed to wait until the end
of the century to identify the components of pathological hallmarks and genetic subtypes and …

Resting-state functional magnetic resonance imaging (rs-fMRI) offers the opportunity to
delineate individual-specific brain networks. A major question is whether individual-specific …

Objective To test the hypothesis that distinct subtypes of Alzheimer disease (AD) exist and
underlie the heterogeneity within AD, we conducted a systematic review and meta-analysis …

The heterogeneity of neurodegenerative diseases is a key confound to disease
understanding and treatment development, as study cohorts typically include multiple …