Julia Boudreau

A Machine Learning Approach to Predict Cognitive Decline in Alzheimer Disease Clinical Trials

Bhargav Teja Nallapu, Kellen K. Petersen, Tianchen Qian, İdris Demirsoy et autres

BACKGROUND AND OBJECTIVES: Among the participants of Alzheimer disease (AD) treatment trials, 40% do not show cognitive decline over 80 weeks of follow-up. Identifying and excluding these individuals can increase power to detect treatment effects. We aimed to develop machine learning-based predictive …

us, tr (code pays fourni par la source)

Deep learning to quantify the pace of brain aging in relation to neurocognitive changes

Chenzhong Yin, Phoebe E. Imms, Nahian F. Chowdhury, Nikhil N. Chaudhari et autres

Brain age (BA), distinct from chronological age (CA), can be estimated from MRIs to evaluate neuroanatomic aging in cognitively normal (CN) individuals. BA, however, is a cross-sectional measure that summarizes cumulative neuroanatomic aging since birth. Thus, it conveys poorly recent or contemporaneous …

us (code pays fourni par la source)

Learning-based inference of longitudinal image changes: Applications in embryo development, wound healing, and aging brain

Heejong Kim, Batuhan K. Karaman, Qingyu Zhao, Alan Q. Wang et autres

Longitudinal imaging data are routinely acquired for health studies and patient monitoring. A central goal in longitudinal studies is tracking relevant change over time. Traditional methods remove nuisance variation with custom pipelines to focus on significant changes. In this work, we present …

us, ca, jp (code pays fourni par la source)

Enhancing cognitive performance prediction by white matter hyperintensity connectivity assessment

Marvin Petersen, Mirthe Coenen, Charles DeCarli, Alberto De Luca et autres

White matter hyperintensities of presumed vascular origin (WMH) are associated with cognitive impairment and are a key imaging marker in evaluating brain health. However, WMH volume alone does not fully account for the extent of cognitive deficits and the mechanisms linking WMH …

de, nl, us, at, ch, sg, ca (code pays fourni par la source)

Towards cascading genetic risk in Alzheimer’s disease

André Altmann, Leon Aksman, Neil P. Oxtoby, Alexandra L. Young et autres

Alzheimer's disease typically progresses in stages, which have been defined by the presence of disease-specific biomarkers: amyloid (A), tau (T) and neurodegeneration (N). This progression of biomarkers has been condensed into the ATN framework, in which each of the biomarkers can be …

gb, us (code pays fourni par la source)

Neuroimaging Insights Pertaining to Physical Activity Effects upon Brain Structure in Mild Cognitive Impairment and in Alzheimer’s Disease

Youshan Zhang, Nicole A. Marcione, Danielle Borrajo, Julia Boudreau et autres

Alzheimer’s disease (AD) and mild cognitive impairments (MCI) are two neurological conditions that commonly affect the aging brain. These conditions cause debilitating symptoms, namely, the loss of the ability to perform activities of daily living. This prevents the patient from being able …