Neurohacking describes how to use the R programming language (https://cran.r-project.org/) and its associated package to perform manipulation, processing, and analysis of neuroimaging data. We focus on publicly-available structural magnetic resonance imaging (MRI). We discuss concepts such as inhomogeneity correction, image registration, and image visualization.
Este curso faz parte do Programa de cursos integrados Neuroscience and Neuroimaging
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Programa de cursos integrados Neuroscience and NeuroimagingUniversidade Johns HopkinsInformações sobre o curso
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Curso 4 de 4 no
Nível intermediário
Aprox. 18 horas para completar
Inglês
Legendas: Francês, Portuguese (European), Russo, Inglês, Espanhol
Habilidades que você terá
- Image Processing
- Brain
- R Programming
- Neurology
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Curso 4 de 4 no
Nível intermediário
Aprox. 18 horas para completar
Inglês
Legendas: Francês, Portuguese (European), Russo, Inglês, Espanhol
oferecido por
Universidade Johns Hopkins
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Programa - O que você aprenderá com este curso
1 hora para concluir
Introduction
1 hora para concluir
3 vídeos (Total 30 mín.), 1 leitura, 1 teste
4 horas para concluir
Neuroimaging: Formats and Visualization
In this section, we will discuss different formats that brain images come in, as well as some of the commonly done magnetic resonance imaging (MRI) scans.
4 horas para concluir
7 vídeos (Total 74 mín.)
6 horas para concluir
Image Processing
In this section, we will discuss the steps done to process brain MRI data. We will discuss inhomogeneity correction, brain extraction or skull stripping, and various image registration techniques.
6 horas para concluir
9 vídeos (Total 71 mín.)
7 horas para concluir
Extended Image Processing
In this section, we will discuss the different types of registration and how one would go through processing a multi-sequence MRI scan, as well as wrapper functions that make the process much easier. We also cover interactive exploration of brain image data and tissue-level (white/gray matter and cerebrospinal fluid (CSF)) segmentation from a T1-weighted image.
7 horas para concluir
11 vídeos (Total 101 mín.), 1 leitura, 10 testes
Avaliações
- 5 stars70,69%
- 4 stars22,71%
- 3 stars4,39%
- 2 stars1,09%
- 1 star1,09%
Principais avaliações do INTRODUCTION TO NEUROHACKING IN R
por JS18 de jan de 2017
It would have been better if there were practical exercises, nevertheless it was very comprehensive for basic procedures of fMRI analysis.
por AN17 de jul de 2017
Perfect! Precise to the subject and provides a lot of hands-on details, which is, unfortunately, something that most other similar courses don't do. Absolutely loved it!
por BB7 de abr de 2020
Thanks for the course. It was a nice course with good explanation. I enjoyed learning.
por HE16 de dez de 2019
A very useful and informative course. An organized, well prepared, and focused course. Thanks to the fabulous team. I learned a lot of stuff related to neuroimaging.
Sobre Programa de cursos integrados Neuroscience and Neuroimaging
This specialization combines the strength of 4 different neuroscience courses into a cohesive learning experience. Taught by Johns Hopkins University, it begins with fundamental neuroscience concepts for neuroimaging. Neuroimaging methods are used with increasing frequency in clinical practice and basic research. Starting with the neuroanatomy of the brain, it then moves into principles of neuroimaging, including experimental design in neuroimaging, functional connectivity MRI, diffusion tensor imaging and spectroscopy imaging.
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