National Brain Research Centre (DBT-NBRC) which is located in Haryana and Department of Bio-Technology have developed the world’s first multimodal functional brain imaging data and analysis called SWADESH. It is believed to help in the effective treatment of domestic brain disorders.


The SWADESH project is a unique brain initiative focused on certified neurochemical, neuroimaging and neuropsychological analysis and data available to researchers for the treatment of brain disorders.

SWADESH is the first large-scale multimodal neuroimaging database specially developed for the Indian population, featuring big data architecture and analysis of different disease categories on one platform. It empowers the study of Alzheimer’s disease (AD) and helps the scientific community develop promising therapies.

SWADESH consists of six modules: neurodevelopmental [Parkinson’s disease, AD, mild cognitive impairment], neuropsychiatric disorders (bipolar and schizophrenia disorder), neurodevelopmental development (epilepsy and autism), and COVID 19 related disorders as well as healthy subjects and other disorders.

Functioning of SWADESH

SWADESH is supported by Python and JAVA based workflow frameworks. It supports dedicated storage to provide data analysis reports, quality control and data backup. The development will help in facilitating collaborative research and data integration from multiple sites around the world.

Currently, SWADESH has data on 70 PD patients and 500 MCI and AD patients. Data from 800 healthy young adults and 600 healthy elderly have also been included in the control group.

Development of other clinical research tool through SWADESH

Several clinical research tools have been developed by DBT-NBRC through SWADESH. One of the is the GAURI system which uses learning schemes and adaptive pattern recognition for differential and predictive single diagnosis developed using neuropsychological batteries and MRI modality.

NINS-STAT is a high-performance software package for automatic selection and execution of statistical tests that are highly applicable in clinical research.

KALPANA is a comprehensive package for visualization, pre-processing and quantitative analysis of MRS data.

PRATEEK analyzes multimodal neuroimaging data, minimizing the need for experience with a variety of neuroimaging tools for multimodal data analysis and processing.

The Stimulus Timing Integrated Module (STIM) includes a multipurpose paradigm design system for functional purposes related to MRI, a presentation system and a real-time participant response acquisition system, non-invasive mapping as well as clinical evaluation of brain activity in normal healthy conditions. various brain diseases.


Later, DBT-NBRC announced BHARAT, a big data analysis model for early-diagnosis biomarkers of AD. The design included a Hadoop-based big data framework that integrates MRS, MRI and neuropsychological test results. An extensive neuroimaging dataset which will be multimodal for ill and healthy cases is being worked upon.