SWADESH, World’s First Multimodal Brain Imaging Data and Analytics, Developed at DBT-National Brain Research Centre, Haryana

Source: This post is based on the article “SWADESH, World’s First Multimodal Brain Imaging Data and Analytics, Developed at DBT-National Brain Research Centre, Haryana” published in PIB on 26th November 2021.

What is the news?

DBT-National Brain Research Centre (DBT-NBRC) has developed a project named SWADESH.

Click Here to read about National Brain Research Centre (NBRC)

What is SWADESH?

SWADESH is a unique brain initiative focussing on certified neuroimaging, neurochemical, neuropsychological data and analytics that are made accessible to researchers for managing brain disorders. 

It is also the first large-scale multimodal neuroimaging database designed specifically for the Indian population with big-data architecture and analytics for various disease categories under one platform.

Modules: The initiative proposes a big-data architecture that manages and analyzes six modules namely neurodegenerative [Alzheimer’s Disease (AD), mild cognitive impairment (MCI), and Parkinson’s disease (PD)], neuropsychiatric (schizophrenia and bipolar disorder), neurodevelopmental (autism and epilepsy), COVID-19-related disorders and other disorders.

What are other clincal tools developed under SWADESH?

DBT-NBRC has developed several clinical research tools through SWADESH.

– GAURI system uses adaptive pattern recognition and learning schemes for predictive single or differential diagnosis, designed with MRI modalities and neuropsychological batteries.

– NINS-STAT is a high-performance state-of-the-art automated statistical test selection and execution software package with high applicability in clinical research.

– KALPANA is an integrative package for visualization, preprocessing, and quantitation of MRS data.

– PRATEEK analyzes multimodal neuroimaging data that minimizes the need for expertise in handling different neuroimaging tools for processing and analyzing multimodal data.

– BHARAT, a big-data analytic model for early diagnostic biomarkers of AD.