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脑影像学数据库。

Brain Imaging Databases.

机构信息

Neuroimaging and Neurospectroscopy (NINS) Laboratory, National Brain Research Centre, Gurgaon 122052, India.

Florey Institute of Neuroscience and Mental Health, Melbourne School of Medicine Campus, Melbourne 3010, Australia.

出版信息

ACS Chem Neurosci. 2023 Jun 7;14(11):1930-1934. doi: 10.1021/acschemneuro.3c00265. Epub 2023 May 15.

Abstract

The availability of neuroimaging-based databases is helping immensely to understand the brain function in healthy and diseased conditions. This viewpoint highlights the objectives, commonalities, and differences within these existing databases and pointers for researchers to choose a particular database. We introduce a multimodal multidisease database, SWADESH, and its comparison with the existing databases. A futuristic database blueprint is proposed for housing multidisease, multimodal, and longitudinal brain imaging data systematically organized in a matrix form along with neuropsychological assessment scores for the identification of causal disease processes. The information-rich databases will ultimately assist with the systematic identification of prime features linked to causal disease processes, leading to the design of appropriate clinical trials for successful therapeutic interventions.

摘要

基于神经影像学的数据库的可用性极大地帮助我们了解健康和患病状态下的大脑功能。这一观点突出了这些现有数据库的目标、共性和差异,并为研究人员指明了选择特定数据库的方向。我们介绍了一个多模态多疾病数据库 SWADESH,并将其与现有数据库进行了比较。我们还提出了一个未来的数据库蓝图,用于系统地存储多疾病、多模态和纵向脑影像学数据,并按照矩阵形式与神经心理学评估分数一起存储,以识别因果疾病过程。这些信息丰富的数据库最终将有助于系统地识别与因果疾病过程相关的主要特征,从而为成功的治疗干预设计适当的临床试验。

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