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.
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Introduction to Neurohacking In R
Universidad Johns HopkinsAcerca de este Curso
18,714 vistas recientes
Resultados profesionales del estudiante
25%
comenzó una nueva carrera después de completar estos cursos
11%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel intermedio
Aprox. 9 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
Habilidades que obtendrás
Image ProcessingBrainR ProgrammingNeurology
Resultados profesionales del estudiante
25%
comenzó una nueva carrera después de completar estos cursos
11%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel intermedio
Aprox. 9 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
ofrecido por
Universidad 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 - Qué aprenderás en este curso
1 hora para completar
Introduction
1 hora para completar
3 videos (Total 30 minutos), 1 lectura, 1 cuestionario
1 lectura
Syllabus10m
1 ejercicio de práctica
Theme 1 Quiz16m
2 horas para completar
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.
2 horas para completar
7 videos (Total 74 minutos)
7 videos
The NIfTI Format9m
Basic Visualization 19m
Basic Visualization 29m
Basic Data Manipulation9m
Transformations and Smoothing14m
Basic MRI Contrasts9m
6 ejercicios de práctica
Theme 2 Lecture 1 Quiz10m
Theme 2 Lecture 2 Quiz10m
Theme 2 Lecture 3 Quiz10m
Theme 2 Lecture 4 Quiz10m
Theme 2 Lecture 5 Quiz10m
Theme 2 Lecture 6 Quiz10m
3 horas para completar
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.
3 horas para completar
9 videos (Total 71 minutos)
9 videos
Registration15m
fslr: System Requirements8m
Bias Field Correction Using fslr3m
Brain Extraction using fslr5m
Image Registration Using fslr5m
Installing ANTsR5m
Basic Data Manipulation with ANTsR4m
Pre-Processing with ANTSR7m
9 ejercicios de práctica
Theme 3 Quiz 110m
Theme 3 Quiz 210m
Theme 3 Quiz 312m
Theme 3 Quiz 410m
Theme 3 Quiz 510m
Theme 3 Quiz 610m
Theme 3 Quiz 710m
Theme 3 Quiz 810m
Theme 3 Quiz 910m
3 horas para completar
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.
3 horas para completar
11 videos (Total 101 minutos), 1 lectura, 10 cuestionarios
11 videos
Co-Registration using fslr9m
Co-Registration using ANTsR9m
Wrapper Functions for Processing Pipelines8m
Across-Visit Co-Registration of T1 Images6m
Rigid Registration to a Template8m
Affine Registration of T1 to Template4m
Nonlinear Registration of T1 to Template6m
Getting ROI Anatomic Information from Non-Linear Registration12m
Tissue-Level Segmentation7m
Papayar: Interactively Viewing Images in R22m
1 lectura
Papayar Script10m
10 ejercicios de práctica
Theme 4 Quiz 110m
Theme 4 Quiz 210m
Theme 4 Quiz 36m
Theme 4 Quiz 410m
Theme 4 Quiz 510m
Theme 4 Quiz 610m
Theme 4 Quiz 710m
Theme 4 Quiz 810m
Theme 4 Quiz 910m
Theme 4 Quiz 1010m
Revisiones
Principales revisiones sobre INTRODUCTION TO NEUROHACKING IN R
por BR8 de feb. de 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.
por SJ7 de may. de 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.
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 HE16 de dic. 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.
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