IIT Guwahati Develops Algorithm to Help Detect Parkinson’s Disease; Check Details Here

New Delhi: The Indian Institute of Technology, Guwahati (IITG) research team has created a pathbreaking algorithm to help understand and analyze brain networks. Named the Unique Brain Network Identification Number (UBNIN), the algorithm is capable of analyzing brain scans and identifying signs of Parkinson’s disease in them. The research behind this innovation has been published in the Brain Sciences journal.

A team of IITG researchers collaborated with the National Institute of Mental Health and Neurosciences (NIMHANS) for a study to analyze brain networks with the help of UBNIN. For the study, the team analyzed 180 brain scans from patients with Parkinson’s disease and 70 brain scans from healthy people across age groups. The results of the study highlighted UBNIN as a way of identifying and intercepting signs of brain network disruptions, which are one of the first symptoms of Parkinson’s disease.

The ability of UBNIN to identify and bring light to differences or disruptions in neural patterns and networks can help massively speed up the diagnostic process for Parkinson’s disease and help with speedy interventions and management of the disease.UBNIN can also become a biomarking diagnostic tool for neurologists everywhere and help them identify other neurological and neuropsychological disorders such as schizophrenia, Alzheimer’s depression, etc. 

UBNIN can be applied for brain printing and contributes to storage efficiency for brain networks recorded during structural MRIs. It can also be used for identification and analysis during other neuroimaging processes such as electroencephalograms (EEGs), functional MRIs, CT Scans, etc. It can also help map out differences in the spectrum of neurodivergence, including a better understanding of the brain structures of individuals with Autism Spectrum disorder (ASD), Attention Deficit Hyperactive Disorder (ADHD), or Tourette’s Syndrome.

UBNIN is also versatile enough to warrant being used to track other non-neural systemic networks such as social networks, traffic networks, protein, etc. IIT Guwahati Assistant Professor, Cota Navin Gupta, said about UBNIN, “UBNIN is a special number representing unique characteristics of each human brain from a network perspective. This UBNIN algorithm will enable us to identify and characterize (encode-decode) brain networks of every human being efficiently.”

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