A Surface-Based Federated Chow Test Model for Integrating APOE Status, Tau Deposition Measure, and Hippocampal Surface Morphometry

03/31/2023
by   Jianfeng Wu, et al.
0

Background: Alzheimer's Disease (AD) is the most common type of age-related dementia, affecting 6.2 million people aged 65 or older according to CDC data. It is commonly agreed that discovering an effective AD diagnosis biomarker could have enormous public health benefits, potentially preventing or delaying up to 40 of downstream neurodegeneration and subsequent cognitive impairment in AD, resulting in structural deformations such as hippocampal atrophy that can be observed in magnetic resonance imaging (MRI) scans. Objective: To build a surface-based model to 1) detect differences between APOE subgroups in patterns of tau deposition and hippocampal atrophy, and 2) use the extracted surface-based features to predict cognitive decline. Methods: Using data obtained from different institutions, we develop a surface-based federated Chow test model to study the synergistic effects of APOE, a previously reported significant risk factor of AD, and tau on hippocampal surface morphometry. Results: We illustrate that the APOE-specific morphometry features correlate with AD progression and better predict future AD conversion than other MRI biomarkers. For example, a strong association between atrophy and abnormal tau was identified in hippocampal subregion cornu ammonis 1 (CA1 subfield) and subiculum in e4 homozygote cohort. Conclusion: Our model allows for identifying MRI biomarkers for AD and cognitive decline prediction and may uncover a corner of the neural mechanism of the influence of APOE and tau deposition on hippocampal morphology.

READ FULL TEXT

page 4

page 6

page 9

page 15

page 17

page 24

research
10/25/2018

Alzheimer's Disease Prediction Using Longitudinal and Heterogeneous Magnetic Resonance Imaging

Recent evidence has shown that structural magnetic resonance imaging (MR...
research
03/23/2022

Biceph-Net: A robust and lightweight framework for the diagnosis of Alzheimer's disease using 2D-MRI scans and deep similarity learning

Alzheimer's Disease (AD) is a neurodegenerative disease that is one of t...
research
04/15/2019

A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal MRI

Introduction: It is challenging at baseline to predict when and which in...
research
04/26/2013

Supervised Heterogeneous Multiview Learning for Joint Association Study and Disease Diagnosis

Given genetic variations and various phenotypical traits, such as Magnet...
research
09/05/2017

Deep Ordinal Ranking for Multi-Category Diagnosis of Alzheimer's Disease using Hippocampal MRI data

Increasing effort in brain image analysis has been dedicated to early di...
research
09/21/2021

Comparison of single and multitask learning for predicting cognitive decline based on MRI data

The Alzheimer's Disease Assessment Scale-Cognitive subscale (ADAS-Cog) i...

Please sign up or login with your details

Forgot password? Click here to reset