Brain Simulation

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Brain Simulation

Brain Simulation

The growth of the brain of human embryo is changing through a long time in the body of mother. So it is very difficult to observe and to understand that process. Therefore, the embryologists found the realistic human organ models and animations necessary for their studies. But to create the realistic human embryo brain models and to do the animations it requires an appropriate methodology. The aim of this paper is to present a developing methodology based on the functional representation and the convolution of the surfaces. We employed this to create a growth simulation of the human embryo brain. The idea of this technique is the following. As a first step the 2D central skeleton is created from an artistic drawing and then the 3D skeleton is modeled by adding the thickness. As the next step, the skeletons representing key-frame models are used to create an animation. At the end the gap between the key-frame models is filled by the suitable interpolation techniques and finally the animation is composed.

Designing an fMRI study is a daunting task. MyfMRI experiment design tool is available here. Note that with fMRI you have to tradeoff predictability with statistical efficiency. Completely random event related designs will inherently have low power, requiring long scanning sessions. While block designs offer optimal statistical power, but the particpant can anticipate the upcoming type of condition.

This software can generate convolved models for a few basic designs, and also allows you to load in your own custom text files. The software uses the canonical hemodynamic response function used by SPM to convolve events, reporting efficiency as the mean variance accross conditions. This efficiency is only relative - if you change the TR or number of volumes, many efficiency parameters will alter. Also note that this software generates a general efficiency value (the predictable variance of a condition), but does not calculate whether different conditions create independent signals. Finally, note that this software (like most analysis packages) assumes completely linear addition of singal from multiple events.

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The upper toolbar allows you to set general settings for your study. Specifically, you can adjust your TR (how often you will observe the brain) and the number of volumes (how many observations of the brain you will collect). for example, if you have a TR of 3000ms and collect 60 volumes, your scanning session will last 3 minutes. This toolbar also allows ...
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