@inproceedings{4d0303d200e742808dc2a7bb0c91f6e8,
title = "Predicting Tau Accumulation in Cerebral Cortex with Multivariate MRI Morphometry Measurements, Sparse Coding, and Correntropy",
abstract = "Biomarker-assisted diagnosis and intervention in Alzheimer's disease (AD) may be the key to prevention breakthroughs. One of the hallmarks of AD is the accumulation of tau plaques in the human brain. However, current methods to detect tau pathology are either invasive (lumbar puncture) or quite costly and not widely available (Tau PET). In our previous work, structural MRI-based hippocampal multivariate morphometry statistics (MMS) showed superior performance as an effective neurodegenerative biomarker for preclinical AD and Patch Analysis-based Surface Correntropy-induced Sparse coding and max-pooling (PASCS-MP) has excellent ability to generate low-dimensional representations with strong statistical power for brain amyloid prediction. In this work, we apply this framework together with ridge regression models to predict Tau deposition in Braak12 and Braak34 brain regions separately. We evaluate our framework on 925 subjects from the Alzheimer's Disease Neuroimaging Initiative (ADNI). Each subject has one pair consisting of a PET image and MRI scan which were collected at about the same times. Experimental results suggest that the representations from our MMS and PASCS-MP have stronger predictive power and their predicted Braak12 and Braak34 are closer to the real values compared to the measures derived from other approaches such as hippocampal surface area and volume, and shape morphometry features based on spherical harmonics (SPHARM).",
keywords = "Alzheimer's disease, Braak12, Braak34, Dictionary and correntropyinduced sparse coding, Hippocampal Multivariate Morphometry Statistics (MMS), Tau deposition",
author = "Jianfeng Wu and Wenhui Zhu and Yi Su and Jie Gui and Natasha Lepore and Reiman, {Eric M.} and Caselli, {Richard J.} and Thompson, {Paul M.} and Kewei Chen and Yalin Wang",
note = "Publisher Copyright: {\textcopyright} 2021 SPIE.; 17th International Symposium on Medical Information Processing and Analysis ; Conference date: 17-11-2021 Through 19-11-2021",
year = "2021",
doi = "10.1117/12.2607169",
language = "English (US)",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Eduardo Romero and Costa, {Eduardo Tavares} and Jorge Brieva and Leticia Rittner and Linguraru, {Marius George} and Natasha Lepore",
booktitle = "17th International Symposium on Medical Information Processing and Analysis",
}