Informações sobre o curso: This course covers the design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data. A book related to the class can be found here: https://leanpub.com/principlesoffmri
Desenvolvido por: Johns Hopkins University, University of Colorado Boulder
Ministrado por: Martin Lindquist, PhD, MSc, Professor, Biostatistics
Bloomberg School of Public Health | Johns Hopkins UniversityMinistrado por: Tor Wager, PhD
Department of Psychology and Neuroscience, The Institute of Cognitive Science | University of Colorado at Boulder
| Idioma | English |
| Como ser aprovado | Seja aprovado em todas as tarefas para concluir o curso. |
| Classificação do usuário |
Programa
SEMANA 1
Week 1
This week we will introduce fMRI, and talk about data acquisition and reconstruction.
8 videos, 2 leituras
- Reading: Syllabus
- Reading: Principles of fMRI Book
- Vídeo: Module 2: Goals of fMRI Analysis
- Vídeo: Module 3: fMRI Data Structure
- Vídeo: Module 4.1: Psychological Inference Part 1
- Vídeo: Module 4.2: Psychological Inference Part 2
- Vídeo: Module 5: Basic Understanding of MR Physics
- Vídeo: Module 6: Forming an Image
- Vídeo: Module 7: K Space
Nota atribuída: Quiz 1
SEMANA 2
Week 2
This week we will discuss the fMRI signal, experimental design and pre-processing.
9 videos
- Vídeo: Module 9: fMRI Artifacts and Types of Noise
- Vídeo: Module 10.1: Spatial and Temporal Resolution of Bold Part 1
- Vídeo: Module 10.2: Spatial and Temporal Resolution of Bold Part 2
- Vídeo: Module 11: Experimental Design
- Vídeo: Module 12.1: Kinds of Designs Part 1
- Vídeo: Module 12.2: Kinds of Designs Part 2
- Vídeo: Module 13: Pre-Processing of fMRI Data
- Vídeo: Module 14: Pre-Processing (continued)
Nota atribuída: Quiz 2
SEMANA 3
Week 3
This week we will discuss the General Linear Model (GLM).
8 videos
- Vídeo: Module 16: Applying GLM to fMRI Data
- Vídeo: Module 17: Details of Building GLM Models
- Vídeo: Module 18: Linear Basis Sets
- Vídeo: Module 19: Filtering a Nuisance Covariance
- Vídeo: Module 20: GLM Estimation
- Vídeo: Module 21: Noise Models - AR Models
- Vídeo: Module 22: Inference - Contrasts and T-tests
Nota atribuída: Quiz 3
SEMANA 4
Week 4
The description goes here
7 videos
- Vídeo: Module 24: Group-level Analysis II
- Vídeo: Module 25: Group-level Analysis III
- Vídeo: Module 26: Multiple Comparison Problem in fMRI
- Vídeo: Module 27: FWER Correction
- Vídeo: Module 28: FDR Correction
- Vídeo: Module 29: Pitfalls and Multiple Comparisons
Nota atribuída: Quiz 4
Perguntas frequentes
Como funciona
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Desenvolvedores
Johns Hopkins University
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.
University of Colorado Boulder
CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.
Classificações e avaliações
it does not incorporate a lot fo background information and the information is too succinct
Thank you so much, I have learned many things will help me
I personally like this course very much. I have a overview of the basic fMRI techniques from the course. It is well organised and relatively easy to understand. I would like to recommend to others. Also, thanks for the instructors of the this course: you are very helpful!
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AJ
Lovely course. I hope to see more material from these professors in the future.