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Design and Assessment of Complex Network Models and their Applications to halt Brain Disorders

Implementing Organization

Indian Institute of Technology (IIT), Dhanbad, Jharkhand
Principal Investigator
Prof. Ranjit Kumar Upadhyay
Indian Institute of Technology (Indian School Of Mines), Dhanbad, Jharkhand
CO-Principal Investigator
Dr. Parmita Roy
Thapar Institute of Engineering & Technology

About

Neurological illnesses, such as Alzheimer's and Parkinson's, affect 450 million people globally, with the latter being the fastest-rising public health concern in developing nations. The exact process of amyloid-beta accumulation in the brain to develop Alzheimer's is still unknown. Studying AD's prodromal or presymptomatic stages can help identify potential patients and develop treatment approaches. To address these problems, researchers will use mathematical techniques like complex network models, ODE, PDE, and Deep learning to construct or modify existing neural models. Graph theory will be used to replicate brain connections and track disease development. The research will help understand noise-induced electrical activity, synaptic mechanisms, neurocomputational features, and properties of neural networks for complex brain functioning in healthy and diseased conditions.

Source

Source
Science and Engineering Research Board (SERB), DST
Funding Organization
Funding Organization
Anusandhan National Research Foundation (ANRF)
Quick Information
Area of Research
Mathematical Sciences
Focus Area
Mathematical Modeling
Start Year
2024
End Year
2027
Sanction Amount
₹ 39.47 L
Status
Ongoing
Contact
ranjit.chaos@gmail.com
Output
No. of Research Paper
00
Technologies (If Any)
00
No. of PhD Produced
00
No. of Patents
Filed : 00
Grant : 00
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