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
Grant Funding: NIA R01 (R01AG089169)
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)
Publication: Data-driven discovery of movement-linked heterogeneity in neurodegenerative diseases. Nature Machine Intelligence
Authors: Mark Endo, Favour Nerrise, Qingyu Zhao, Edith V Sullivan, Li Fei-Fei, Victor W Henderson, Kilian M Pohl, Kathleen L Poston, Ehsan Adeli Abstract Neurodegenerative diseases manifest different motor and cognitive signs and symptoms that are highly heterogeneous. Parsing these heterogeneities may lead to an improved understanding of underlying disease mechanisms; however current methods are dependent on clinical assessments and somewhat arbitrary choice of behavioral tests. Herein, we present a data-driven subtyping approach using video-captured human motion and brain functional connectivity (FC) from resting-state (rs)-fMRI. We applied our framework to a cohort of individuals at different stages of Parkinson's disease (PD). The process mapped the data to low-dimensional measures by projecting them onto a canonical correlation space that identified three PD subtypes: Subtype I was characterized by motor difficulties and poor visuospatial abilities; Subtype II exhibited difficulties in non-motor…
Oral Presentation: Alzheimer’s Association International Conference
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…
Patent: Systems and methods for estimation of Parkinson’s Disease gait impairment severity from videos using MDS-UPDRS
Many embodiments of the invention include systems and methods for evaluating motion from a video, the method includes identifying a target individual in a set of one or more frames in a video, analyzing the set of frames to determine a set of pose parameters, generating a 3D body mesh based on the pose parameters, identifying joint positions for the target individual in the set of frames based on the generated 3D body mesh, predicting a motion evaluation score based on the identified join positions, providing an output based on the motion evaluation score. U.S. Patent 11,918,370 Issued March 5, 2024
Open Source Software Available: GaitForeMer (GaitForecasting and impairment estimation transforMer)
The base gait forecasting and estimation transformer model that is leveraged for this pilot is available open-source. Source: https://github.com/markendo/GaitForeMer