SWADESH, World’s First Multimodal Brain Imaging Data and Analytics

About SWADESH-

• It is 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.
• It would strengthen Alzheimer’s disease (AD) research and help the scientific community come up with promising treatments.
• It 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 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. 
• Presently, SWADESH has data of 500 AD and MCI patients and 70 PD patients. 
• It also includes data of 600 healthy old individuals and 800 healthy young individuals in the control group.

Clinical research tools-

DBT-NBRC has developed the following 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. 
• 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 condition and clinical evaluation of various brain disorders.
• BHARAT is 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.