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Abstract #0872

MARBLE: An MRI-based in-vivo marker of limbic-predominant age-related TDP-43 encephalopathy neuropathological change (LATE-NC)

Mahir Tazwar1, Arnold M Evia2, Abdur Raquib Ridwan2, David A Bennett2, Julie A Schneider2, and Konstantinos Arfanakis1,2
1Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, United States, 2Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, United States

Synopsis

Keywords: Aging, Aging, LATE, TDP-43, Neuropathology, Aging, Biomarkers, Brain, Neurodegeneration, Diagnosis/Prediction, Ex-vivo Applications, Machine Learning/Artificial Intelligence, Dementia

Motivation: Limbic-predominant age-related TDP-43 encephalopathy neuropathological change (LATE-NC) is common in older adults but lacks a validated biomarker.

Goal(s): To develop an MRI-based in-vivo marker of LATE-NC.

Approach: An MRI-based classifier of LATE-NC was trained using machine learning on ex-vivo MRI and pathology data on the same community-based older adults, was translated to in-vivo, and packaged into an automated software container named ‘MARBLE’ (MARker of Brain LatE) which takes raw in-vivo MRI data as input and provides a LATE-NC prediction score.

Results: The ex-vivo classifier achieved a mean AUC=0.85±0.05 in the training group (N=863). In-vivo, MARBLE achieved an AUC=0.81 in the test group (N=60).

Impact: LATE-NC is common in older adults and can only be diagnosed at autopsy. MARBLE is a novel in-vivo marker of LATE-NC and may significantly contribute towards diagnosis, monitoring, prevention, and treatment of this devastating disease.

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