E.4 Hippocampal subfield thickness measurements evaluated using HippUnfold in patients with mild cognitive impairment and Alzheimer’s disease

Background: Alzheimer’s disease (AD) is an emerging public health crisis and biomarkers are playing a large role in AD research. Magnetic Resonance Imaging (MRI) holds advantages over existing for AD. This project aims to measure subfield thickness throughout the hippocampal long axis using HippUnfold, novel open-source automated segmentation software. Methods: High resolution (0.39×0.39×2mm) Hippocampal MR Images [control, n= 16, mild cognitive impairment (MCI, n =16), AD, (n = 16)] acquired by Disease Neuroimaging Initiative (ADNI) were analyzed with software (HippUnfold) compute measurements. ADNI data such as Positron Emission Tomography (PET) biomarkers, Cerebrospinal Fluid scores Mini-Mental State Exam (MMSE), Montreal Cognitive Assessment (MoCA), Scale (ADAS13), Rey Auditory Verbal Learning Test (RAVLT), correlated along linear regression models. Results: We found significant cluster correlations (p < 0.05) between MoCA scores, ADAS13 PET phosphorylated tau levels, beta-amyloid levels. Conclusions: Subfield atrophy associated severity (as measured testing) patients MCI