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.
Ce cours fait partie de la Spécialisation Neuroscience and Neuroimaging
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Spécialisation Neuroscience and NeuroimagingUniversité Johns-HopkinsÀ propos de ce cours
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Cours 4 sur 4 dans le
Niveau intermédiaire
Approx. 18 heures pour terminer
Anglais
Sous-titres : Français, Portugais (européen), Russe, Anglais, Espagnol
Compétences que vous acquerrez
- Image Processing
- Brain
- R Programming
- Neurology
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 4 sur 4 dans le
Niveau intermédiaire
Approx. 18 heures pour terminer
Anglais
Sous-titres : Français, Portugais (européen), Russe, Anglais, Espagnol
Offert par
Université 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.
Programme de cours : ce que vous apprendrez dans ce cours
1 heure pour terminer
Introduction
1 heure pour terminer
3 vidéos (Total 30 min), 1 lecture, 1 quiz
4 heures pour terminer
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 heures pour terminer
7 vidéos (Total 74 min)
6 heures pour terminer
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 heures pour terminer
9 vidéos (Total 71 min)
7 heures pour terminer
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 heures pour terminer
11 vidéos (Total 101 min), 1 lecture, 10 quiz
Avis
Meilleurs avis pour INTRODUCTION TO NEUROHACKING IN R
par BR8 févr. 2017
I like that this course goes through most necessary steps, my only suggest would be to have one additional week where you go through everything all together, and then do some simple group analysis.
par SJ7 mai 2019
Thank you for the wonderful course. Especially useful when the team explains every new line of code. As a current undergraduate and aspiring neuroscience researcher, this is tremendously helpful.
par SG28 août 2020
The process of downloading packages on the virtual machine was very tiring. The documentation of it could have been provided more nicely. Like I was not aware about the 'sudo...'on LINUX.
par AN17 juil. 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!
À propos du Spécialisation 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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