SWADESH: a multimodal multi-disease brain imaging and neuropsychological database and data analytics platform

Area of Science:

• Neuroscience
• Medical Imaging
• Computational Biology

Background:

• Multimodal neuroimaging data is crucial for understanding brain function in health and disease.
• Existing neuroimaging databases primarily focus on volumetric magnetic resonance imaging (MRI) data.
• A comprehensive platform is needed to integrate diverse neuroimaging and clinical data for various brain disorders.

Purpose of the Study:

• To introduce SWADESH, a comprehensive web-based platform for hosting multi-disease, multimodal neuroimaging, and neuropsychological data.
• To integrate advanced neuroimaging techniques like MR spectroscopy (MRS) and quantitative susceptibility mapping (QSM).
• To establish a master database for major brain disease states and identify characteristic biomarkers.

Main Methods:

• Development of a web-based platform architecture (SWADESH).
• Integration of diverse neuroimaging data: MRI, MRS, functional MRI (fMRI), diffusion-weighted imaging (DWI), QSM.
• Inclusion of neuropsychological data and associated data analysis pipelines.

Main Results:

• SWADESH provides a centralized repository for multimodal neuroimaging and neuropsychological data across various brain disorders.
• The platform incorporates neurochemical (MRS) and magnetic susceptibility (QSM) data for healthy and diseased conditions.
• Associated analytical pipelines are available for data analysis within the platform.

Conclusions:

• SWADESH serves as a valuable resource for researchers studying brain disorders.
• The platform facilitates the identification of characteristic features and biomarkers associated with neurodegenerative, neuropsychiatric, and neurodevelopmental disorders.
• This initiative aims to advance our understanding of brain function and disease through integrated data analysis.