Poster Presentation: a2 National Symposium 2025
Title: An Objective Assessment Tool for Evaluating Functioning in Older Adults Authors: Narayan Schutz, Anson Zhou, Merryn Daniel, Victor Henderson, Ehsan Adeli
Title: An Objective Assessment Tool for Evaluating Functioning in Older Adults Authors: Narayan Schutz, Anson Zhou, Merryn Daniel, Victor Henderson, Ehsan Adeli
Title: Neural mechanisms of gait disturbances as individualized digital biomarker trajectories in preclinical dementia Public Health Relevance Statement: In this project, the research team uncovers the neural mechanisms of gait and mobility disturbances in preclinical dementia and identifies trackable individualized digital biomarkers (from videos). They evaluate the specificity and sensitivity of these gait-based biomarkers and relate those to neural mechanisms and clinical phenotypes. By leveraging these identified markers, they can monitor the disease's progression, potentially minimizing or even replacing the demand for expensive neuropsychological or neuroimaging evaluations. Source: R01AG089169 (NIH RePORTER)
Title: Automated Physical Performance Battery as a Digital Marker for Alzheimer's Disease and Mild Cognitive ImpairmentPresenter: Ehsan Adeli (PI) Abstract: Historically, screening for incidence of AD-related MCI or conversion from MCI to AD dementia has relied on cognitive, activities of daily living, and brain imaging measures. Limitations of this diagnostic approach include dependency on education and language, time-consuming and costly measures, and long-term monitoring. Emerging studies suggest that non-tremor motor dysfunction in dementias is known to be highly associated with AD biomarkers, with signs of cognitive decline visible in gait and hand movement at various stages of the illness. With the evidence that gait and physical disturbances are early predictors of cognitive impairment and that their trajectories could readily be tracked, we utilize recent advances in computer vision (CV) to quantify mobility in a data-driven…
The base gait forecasting and estimation transformer model that is leveraged for this pilot is available open-source. Source: https://github.com/markendo/GaitForeMer