SWADESH

In News 

DBT-National Brain Research Centre (DBT-NBRC) has recently developed the project SWADESH.

About SWADESH

• It is a unique brain initiative focusing on certified neuroimaging, neurochemical, neuropsychological data and analytics that are made accessible to researchers for managing brain disorders. 
• SWADESH is the first large-scale multimodal neuroimaging database designed specifically for the Indian population with big-data architecture and analytics for various disease categories (Fig. 1) under one platform.

Image Courtesy: PIB

• Features
  • SWADESH proposes a big-data architecture that manages and analyzes six modules, namely neurodegenerative [AD, mild cognitive impairment (MCI), and Parkinson’s disease (PD)], neuropsychiatric (schizophrenia and bipolar disorder), neurodevelopmental (autism and epilepsy), COVID-19-related disorders, other disorders, and healthy subjects.
  • SWADESH is supported by a JAVA-based workflow environment and Python. 
  • Backed by a dedicated storage system, it provides quality control, data analysis reports, and data backups. 
  • Its development will facilitate the integration of multi-site data and collaborative research worldwide. 

• Objectives 

• To strengthen Alzheimer’s disease (AD) research and help the scientific community come up with promising treatments. 

Development of 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 a 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.
•  Stimulus Timing Integrated Module (STIM) includes a versatile paradigm design system, presentation system, and real-time participant response-collection system for functional MRI-related purposes, mapping brain activity non-invasively in normal healthy conditions and clinical evaluation of various brain disorders. 
• BHARAT, a big-data analytic model for early diagnostic biomarkers of AD. 
  • The design included a Hadoop-based big-data framework integrating MRI, MRS, and neuropsychological test scores. 

Source:PIB