CRCNS: Community-supported open-source software for computational neuroanatomy

CRCNS：社区支持的计算神经解剖学开源软件

基本信息

批准号：
9751295
负责人：
Eleftherios Garyfallidis
金额：
$ 17.5万
依托单位：
TRUSTEES OF INDIANA UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2018
资助国家：
美国
起止时间：
2018-08-01 至 2021-04-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9751295
关键词：
Address Algorithmic Analysis Algorithms Area Back Beds Behavior Benchmarking Brain Brain Diseases Clinical Clinical Research Cloud Computing Cognition Collection Communities Complex Computational Technique Computer software Computing Methodologies Data Data Science Data Set Development Diffusion Diffusion Magnetic Resonance Imaging Documentation Education Face Generations Human Image Infrastructure International Knowledge Libraries Mathematics Measures Medicine Methods Modeling Neuroanatomy Neurons Neurosciences Perception Physics Preparation Process Property Psychology Pythons Research Research Personnel Role Scientist Software Tools Statistical Data Interpretation Techniques Technology Testing Translating Travel Work base biophysical techniques clinical application clinical decision-making clinically relevant cohesion community building computational neuroscience computer science computing resources image processing meetings method development neuroimaging novel open source relating to nervous system research and development skills software development tool tractography white matter

Address Algorithmic Analysis Algorithms Area Back Beds Behavior Benchmarking Brain Brain Diseases Clinical Clinical Research Cloud Computing Cognition Collection Communities Complex Computational Technique Computer software Computing Methodologies Data Data Science Data Set Development Diffusion Diffusion Magnetic Resonance Imaging Documentation Education Face Generations Human Image Infrastructure International Knowledge Libraries Mathematics Measures Medicine Methods Modeling Neuroanatomy Neurons Neurosciences Perception Physics Preparation Process Property Psychology Pythons Research Research Personnel Role Scientist Software Tools Statistical Data Interpretation Techniques Technology Testing Translating Travel Work base biophysical techniques clinical application clinical decision-making clinically relevant cohesion community building computational neuroscience computer science computing resources image processing meetings method development neuroimaging novel open source relating to nervous system research and development skills software development tool tractography white matter

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项目摘要

Different parts of the brain share and transmit Information through long-range connections that connect nerve cells in each part of the brain with nerve cells in other brain areas. These connections form bundles of nerve cells, and these bundles comprise a complex and expansive network within the human brain. Understanding these brain networks and their relation to the way that the brain Implements perception and cognition, and understanding how these networks break down In various brain disorders are major challenges In contemporary neuroscience. Diffusion Magnetic Resonance Imaging (dMRI) is the only currently available method to measure these connections In the living human brain non-invasively. The DIPY (Diffusion imaging in Python) project Is an International community-based effort to implement open-source software for analysis and Interpretation of dMRI data. The research and development work proposed here aims to expand the development work in DIPY, and to help share this work more widely with the community of researchers that use dMRI In their research. The project proposes to Implement and share new algorithms for analysis of dMRI data, and to share several important new datasets that will serve as benchmarks for ongoing methods development; it will support the development of software tools for cloud-computing with these data and it will facilitate the participation of a global community of scientists in the development of the software. Furthermore, it will support its wide dissemination to relevant research and enable computation on large datasets.

大脑的不同部分共享并通过远程连接传输信息将大脑每个部分的神经细胞与其他大脑区域的神经细胞连接。这些连接形成了神经细胞的束束，这些束包含一个复杂而膨胀的人脑中的网络。了解这些大脑网络及其与大脑实施方式的关系感知和认知，并了解这些网络如何在各种大脑中分解疾病是当代神经科学中的主要挑战。扩散磁共振成像（DMRI）是当前唯一可用的方法来衡量这些人的联系大脑非侵入性。 DIPY（Python中的扩散成像）项目是国际以社区为基础的努力用于分析和解释DMRI数据的开源软件。研发这里提出的工作旨在扩大DIPY的开发工作，并帮助分享这项工作在研究中使用DMRI的研究人员社区广泛。该项目提议实施和共享新算法以分析DMRI数据，并分享一些重要的新算法将作为持续方法开发的基准的数据集；它将支持开发用于使用这些数据进行云计算的软件工具，这将有助于全球科学家社区参与软件的开发。此外，它将支持其对相关研究的广泛传播，并启用大型数据集上的计算。