3/17/2023 0 Comments Dendrite axon![]() ![]() "We couldn't fully capture stage 5, the maturation stage," said co-author Kuanren Qian, a Ph.D. The team successfully modeled the first four stages of neuron growth. "We spent three years developing this software." "It's a very challenging problem," said Zhang. The method is useful because it connects a series of equations for each stage of the growth process into one continuous equation, but because of this, each new phase adds a whole set of limitations that must be considered for the final equation. This was not ideal as the team was trying to build a system that could be used to model all types of neuron growth patterns. It would produce a result for one set of variables, but changing the starting variables slightly using the same equations would produce completely different and inaccurate results. Unfortunately, FDM did not converge very often. Originally, the team tried to use the finite difference method (FDM) of solving differential equations, a very computer-friendly method that seemed like the easiest option for the job. ![]() student Ashlee Liao as references to build their models from. The team used pictures of the growth process of neurons photographed in the Biohybrid and Organic Robotics Group (B.O.R.G) by Victoria Webster-Wood, an assistant professor of mechanical engineering, and co-advised Ph.D. (C) Simulation result of seven neurons with all 4 growth stages that exhibit neurite interactions with each other while preventing interactions between neurites belonging to the same neuron. (B) Simulation result of two neurons using attractive cue-guided neuron growth that shows a realistic growth pattern. (A) Neuron growth model simulation result of a single neuron that exhibits growth behavior from stage 1 lamellipodia formation to stage 4 dendrite formation with observable stage 3 axon differentiation. Phase field modeling is a way to simulate a continuous change in the way the model behaves when normally there would be distinct phases with different behaviors. IGA uses a method called spline geometry to produce much more accurate models whose parameters can be altered without recalculating the entire system, as is necessary in FEA. IGA is an advancement upon finite element analysis (FEA), which breaks down larger models into discrete elements that can be modeled more easily than the whole. The team used a new type of isogeometric analysis (IGA) called isogeometric collocation and a phase field method. A multi-disciplinary team of Carnegie Mellon University engineers led by Jessica Zhang, the George Tallman Ladd and Florence Barrett Ladd Professor in Mechanical Engineering, has published a research paper outlining a new way of modeling neurons and their growth process with the goal of providing better models for studying neurodegenerative diseases, such as Alzheimer's. However, every neuron begins its life in about the same way and goes through five distinct stages of development. Saving Earth Britannica Presents Earth’s To-Do List for the 21st Century.Modeling the growth cycle of a neuron is tricky, as neurons are formed for vastly different functions all over the body.Britannica Beyond We’ve created a new place where questions are at the center of learning.100 Women Britannica celebrates the centennial of the Nineteenth Amendment, highlighting suffragists and history-making politicians.COVID-19 Portal While this global health crisis continues to evolve, it can be useful to look to past pandemics to better understand how to respond today. ![]() ![]()
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