Machine Learning and Large-scale Imaging analytics for dimensional representations of brain trajectories in aging and preclinical Alzheimer's Disease: The brain aging chart and the iSTAGING consortium

机器学习和大规模成像分析，用于衰老和临床前阿尔茨海默氏病大脑轨迹的维度表示：大脑衰老图表和 iSTAGING 联盟

• 批准号: 10839623
• 负责人: Christos Davatzikos
• 金额: $ 24.38万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-04-15 至 2025-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10839623
• 关键词: Adopted; Adoption; Aging; Alzheimer' s Disease; Applications Grants; Biological Markers; Brain; Brain Mapping; Classification; Clinical; Clinical Data; Cloud Computing; Cognitive; Collaborations; Collection; Communities; Complex; Computer software; Data; Data Analyses; Data Set; Databases; Dependence; Derivation procedure; Development; Diffusion Magnetic Resonance Imaging; Dimensions; Disease; Disease Clusterings; Drops; Elements; Ensure; Equipment; Foundations; Functional Magnetic Resonance Imaging; Future; Heterogeneity; Image; Impaired cognition; Individual; Infrastructure; Internet; Libraries; Machine Learning; Magnetic Resonance Imaging; Methods; Modeling; Outcomes Research; Parents; Pattern; Process; Public Domains; Reproducibility; Research; Resources; Running; Software Tools; Technical Expertise; Training; Vertebral column; aging brain; cloud based; computerized data processing; computing resources; data harmonization; design; disease heterogeneity; disorder subtype; experience; falls; flexibility; graphical user interface; image processing; imaging biomarker; interest; machine learning method; machine learning model; machine learning pipeline; model building; multi-atlas segmentation; multimodality; open source; parent grant; parent project; personalized diagnostics; portability; pre-clinical; predictive modeling; prevent; prognostication; programs; repository; skills; tool; user-friendly; web app; web interface; web portal; web-accessible

Abstract The parent grant has been building a truly unique database of MRI, clinical and cognitive data from over 65,000 individuals and 16 distinct studies. It has been constructing machine learning models and biomarkers aiming to capture the heterogeneity of brain aging and derive predictive models of cognitive decline. The current supplement will build the foundation for making these pipelines available very easily through cloud computing. More specifically, the focus of this supplement will be to build the infrastructure for a web-based portal running n the AWS cloud, which will allow for seamless “drag-and-drop” of MRIs for application of the pipelines developed by the parent program. This will facilitate the wide access of these pipelines without the need to set up local software and familiarize with complex preprocessing of MRI datasets and machine learning pipelines.

抽象的 父母赠款一直在建立一个真正独特的MRI，临床和认知数据的数据库 65,000个人和16个不同的研究。它一直在构建机器学习模型和 生物标志物旨在捕获大脑衰老的异质性并得出认知的预测模型 衰退。当前的补充剂将为使这些管道非常容易提供基础 通过云计算。更具体地说，该补充的重点将是建立基础架构 对于一个运行AWS云的基于网络的门户，该门户将允许MRI的无缝“拖放” 用于应用父程计划开发的管道。这将有助于广泛的访问 这些管道无需设置本地软件并熟悉复杂的预处理 MRI数据集和机器学习管道。

项目成果

Subject-Specific Structural Parcellations Based on Randomized AB-divergences.

• DOI: 10.1007/978-3-319-66182-7_47
• 发表时间: 2017-09
• 期刊: Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
• 作者: Honnorat N;Parker D;Tunç B;Davatzikos C;Verma R
• 通讯作者: Verma R

Embracing the disharmony in medical imaging: A Simple and effective framework for domain adaptation.

• DOI: 10.1016/j.media.2021.102309
• 发表时间: 2022-03
• 期刊: Medical image analysis
• 影响因子: 10.9
• 作者: Wang R;Chaudhari P;Davatzikos C
• 通讯作者: Davatzikos C

Longitudinally and inter-site consistent multi-atlas based parcellation of brain anatomy using harmonized atlases.

• DOI: 10.1016/j.neuroimage.2017.10.026
• 发表时间: 2018-02-01
• 期刊: NeuroImage
• 影响因子: 5.7
• 作者: Erus G;Doshi J;An Y;Verganelakis D;Resnick SM;Davatzikos C
• 通讯作者: Davatzikos C

Modifiable vascular risk factors, white matter disease and cognition in early Parkinson's disease.

• DOI: 10.1111/ene.13797
• 发表时间: 2019-03
• 期刊: European journal of neurology
• 影响因子: 5.1
• 作者: Chahine LM;Dos Santos C;Fullard M;Scordia C;Weintraub D;Erus G;Rosenthal L;Davatzikos C;McMillan CT
• 通讯作者: McMillan CT

A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages.

• DOI: 10.1016/j.neuroimage.2017.03.057
• 发表时间: 2017-07-15
• 期刊: NeuroImage
• 影响因子: 5.7
• 作者: Rathore S;Habes M;Iftikhar MA;Shacklett A;Davatzikos C
• 通讯作者: Davatzikos C