k算子作为阿尔茨海默病的预测因子

Maria Mannone , Norbert Marwan , Peppino Fazio , Patrizia Ribino
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引用次数: 0

摘要

与年龄相关的神经系统疾病中发生的进行性记忆丧失有助于个体的分散,具有严重的个人和社会后果。我们通过一个受物理学启发的数学算子K来模拟由神经系统疾病引起的大脑网络损伤。K作用于患病的大脑,提供了疾病的时间演化。针对阿尔茨海默-佩鲁西尼病(AD),我们考虑ADNI 2数据集的选定患者来近似k算子。我们还提出K作为疾病随时间进展的预测因子,并对AD从认知正常(CN)阶段到中度轻度认知障碍(MCI)阶段的进展进行了初步评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
K-operator as a predictor for Alzheimer-Perusini’s disease
Progressive memory loss occurring in age-related neurological diseases contributes to the disgregation of the individual, with serious personal and social consequences. We model the brain network damage provoked by a neurological disease through a physics-inspired mathematical operator, K. Acting on a diseased brain, K provides the disease time evolution. Focusing on Alzheimer-Perusini’s disease (AD), we approximate the K-operator considering selected patients of the ADNI 2 dataset. We also propose K as a predictor for the disease progress over time and give its preliminary evaluation in the AD progression from the cognitive normal (CN) stage to AD through intermediate mild cognitive impairment (MCI) stages.
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