An introduction to neuroinformatics
Meetup Description
The goal of brain imaging is to provide in-vivo measures of the human brain to better understand how the brain is structured, connected and functions. In this talk, we will discuss how to analyze brain imaging data in order to make sense of the large amount of data that comes out of the scanner.
This is the only meetup session with the analysis all conducted with Python programming.
What is neuroinformatics
Neuroinformatics is a research field devoted to the development of neuroscience data and knowledge bases together with computational models and analytical tools for sharing, integration, and analysis of experimental data and advancement of theories about the nervous system function.
Neuromatics Techniques
Anatomy
Connectivity
Another information to look at is the structural Connectivity within the brain. The connectivity in the Brain can be compared as a street map. The road map allows us to see the pathways within the Brain.
Demonstration on : Preprocessing
Reproduction of SPM tutorial using Nipype: https://gitlab.inria.fr/egermani/reproduced_tutorial. Statistical Parametric Mapping as well as Nipypr are also used for preprocessing demonstration.
You find slides and images following the GitHub link An Introduction to Neuromatics GitHub
With over 2,500 views on YouTube, this meetup session is the most popular R-Ladies Gaborone session with active participation during the meetup. The figure shows the comments on YouTube.
Resources
[Nipype Tutorial](https://miykael.github.io/nipype_tuto…) – Annual Brain Imaging
[OHBM Open Science Room (Discussions around open science practices & brain imaging)](https://ohbm.github.io/osr2022/)
[Neuromatch Academic (Online course in computational neuroscience and deep learning)](https://neuromatch.io/)
