Researchers at USC used machine learning to explore the links between sedentary behavior and dementia, finding that the total time spent sedentary matters for brain aging.
Aging - Alzheimer's Disease
USC Mary and Mark Stevens Neuroimaging and Informatics Institute expands its suite of health disparities research with an award to examine vascular causes of dementia.
In a comprehensive review of U.S.-based Alzheimer’s disease brain imaging studies, USC researchers found minority groups are underrepresented — but the gap is narrowing.
Latinos represent only a small fraction of people enrolled in Alzheimer’s-related clinical trials. USC researcher María Aranda has some ideas on how to fix that.
An international leader in Alzheimer’s disease research for over 30 years, Aisen is recognized with the highest academic honor at the Keck School of Medicine of USC.
A new USC study provides evidence that a simple biofeedback practice reduces levels of Alzheimer’s-associated amyloid beta peptides.
The study — part of the USC-based, global ENIGMA Consortium — looks at brain aging and Alzheimer's to identify predictive markers, better understand prognoses and support personalized risk evaluations.
Ishwar Puri, USC senior vice president for research and innovation, discusses some of the past year’s major accomplishments and what might be in store for 2023 and beyond.
AI-powered analysis developed at USC accurately reflects risk of cognitive decline and Alzheimer’s disease based on brain age.
The buildup of a protein called amyloid beta in the brain, often thought to be connected to Alzheimer’s, may instead be a general change that occurs with age even in healthy brains, USC’s Caleb Finch says.