Alzheimer’s disease (AD) is a devastating neurodegenerative disorder affecting millions of people worldwide. The etiology of AD is not known, and intense research involving multimodal neuroimaging data (e.g., MRI, functional MRI, PET etc.) is extensively used to identify the causal molecular process for AD. In this context, various imaging-based databases accessible to researchers globally, are useful for an independent analysis. Apart from MRI-based brain imaging data, the neurochemical data using magnetic resonance spectroscopy (MRS) provide early molecular processes before the structural or functional changes are manifested. The existing imaging-based databases in AD lack the integration of MRS modality and, thus, limits the availability of neurochemical information to the AD research community. This perspective is an initiative to bring attention to the development of the neuroimaging database, “ANSH,” that includes brain glutathione (GSH), gamma aminobutyric acid (GABA) levels, and other neurochemicals along with MRI-based information for AD, mild cognitive impairment (MCI), and healthy subjects. ANSH is supported by a JAVA-based workflow environment and python providing a simple, dynamic, and distributed platform with data security. The platform consists of two-tiered architecture for data collection and management further supporting quality control, report generation for analyzed data, and data backup with a dedicated storage system. The ANSH database aims to present a single neuroimaging data platform incorporating diverse data types from healthy control and patient groups to provide better insights pertaining to disease progression. This data management platform provides flexible data sharing across users with continuous project monitoring. The development of ANSH platform will facilitate collaborative research and multi-site data sharing across the globe.

中文翻译：

---

ANSH：多模式神经影像数据库，包括来自各大洲的 MR 光谱数据，以推进阿尔茨海默病研究

阿尔茨海默病 (AD) 是一种破坏性的神经退行性疾病，影响着全世界数百万人。AD 的病因尚不清楚，涉及多模式神经影像学数据（例如，MRI、功能性 MRI、PET 等）的深入研究被广泛用于确定 AD 的因果分子过程。在这种情况下，全球研究人员可以访问的各种基于成像的数据库对于独立分析很有用。除了基于 MRI 的脑成像数据，使用磁共振波谱 (MRS) 的神经化学数据提供了结构或功能变化出现之前的早期分子过程。AD 中现有的基于成像的数据库缺乏 MRS 模式的整合，因此限制了 AD 研究界对神经化学信息的可用性。这一观点是一项旨在引起人们对神经影像数据库“ANSH”发展的关注的倡议，该数据库包括脑谷胱甘肽 (GSH)、γ-氨基丁酸 (GABA) 水平和其他神经化学物质，以及基于 MRI 的 AD、轻度认知障碍信息损伤 (MCI) 和健康受试者。ANSH 由基于 JAVA 的工作流环境和 Python 支持，提供了一个简单、动态、分布式的数据安全平台。该平台由用于数据收集和管理的两层架构组成，进一步支持质量控制、分析数据的报告生成以及具有专用存储系统的数据备份。ANSH 数据库旨在提供一个单一的神经影像数据平台，其中包含来自健康对照组和患者组的不同数据类型，以提供有关疾病进展的更好见解。该数据管理平台通过持续的项目监控在用户之间提供灵活的数据共享。ANSH 平台的开发将促进全球范围内的协作研究和多站点数据共享。