Functional Magnetic Resonance Imaging (fMRI) is the most widely used technique for investigating the living, functioning human brain as people perform tasks and experience mental states. It is a convergence point for multidisciplinary work from many disciplines. Psychologists, statisticians, physicists, computer scientists, neuroscientists, medical researchers, behavioral scientists, engineers, public health researchers, biologists, and others are coming together to advance our understanding of the human mind and brain. This course covers the analysis of Functional Magnetic Resonance Imaging (fMRI) data. It is a continuation of the course “Principles of fMRI, Part 1”.
Ce cours fait partie de la Spécialisation Neuroscience and Neuroimaging
Offert par
Université Johns-Hopkins
Université du Colorado à Boulder
Spécialisation Neuroscience and NeuroimagingUniversité Johns-HopkinsÀ propos de ce cours
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Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 3 sur 4 dans le
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Approx. 9 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.
Université du Colorado à 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.
Programme du cours : ce que vous apprendrez dans ce cours
2 heures pour terminer
Week 1
This week we will discuss psychological and behavioral inference, as well as advanced experimental design.
2 heures pour terminer
8 vidéos (Total 103 min), 1 lecture, 1 quiz
8 vidéos
Module 1B: Crises in neuroscience and psychology: Problems and solutions14 min
Module 2A: Pitfalls and Biases in Interpretation: Circularity, Reverse inference, Voodoo, and Beyond11 min
Module 2B: Pitfalls and Biases in Interpretation: Circularity, Reverse inference, Voodoo, and Beyond13 min
Module 3: Meta Analysis10 min
Module 4: Using meta-analysis to improve inference12 min
Module 5: Optimizing acquisition for your study goals18 min
Module 6: Resting-state fMRI7 min
1 lecture
Syllabus10 min
1 exercice pour s'entraîner
Quiz 130 min
2 heures pour terminer
Week 2
This week we will continue with advanced experimental design, and also discuss advanced GLM modeling.
2 heures pour terminer
11 vidéos (Total 119 min)
11 vidéos
Module 7B: Advanced Experimental Design I - Fundamentals of design efficiency12 min
Module 8: Advanced Experimental Design II – Efficiency in fMRI10 min
Module 9: Advanced Experimental Design III – Optimizing experimental designs with genetic algorithms12 min
Module 10: Model building: Parametric modulators8 min
Module 11: Basis Sets II: Smooth FIR, HTW, Basis sets at 2nd level11 min
Module 12A: Multicolinearity and diagnostics10 min
Module 12B: Multicolinearity and diagnostics8 min
Module 13: Robust regression14 min
Module 14A: Practical group analysis: Procedures and checks9 min
Module 14B: Practical group analysis: Procedures and checks10 min
1 exercice pour s'entraîner
Quiz 230 min
2 heures pour terminer
Week 3
This week we will focus on brain connectivity.
2 heures pour terminer
8 vidéos (Total 77 min)
8 vidéos
Module 16: Functional Connectivity9 min
Module 17: Multivariate Decomposition Methods9 min
Module 18: Dynamic Connectivity9 min
Module 19: Network Analysis I – Graph theory10 min
Module 20: Effective Connectivity9 min
Module 21: Mediation, moderation, and structural models12 min
Module 21B: Mediation, moderation, and structural models11 min
1 exercice pour s'entraîner
Quiz 330 min
2 heures pour terminer
Week 4
This week we will focus on multi-voxel pattern analysis.
2 heures pour terminer
10 vidéos (Total 90 min)
10 vidéos
Module 23: Directed graphs: Granger causality9 min
Module 24: Principles of causal inference12 min
Module 25: Multi-voxel Pattern Analysis: A neuroscientific perspective10 min
Module 25B: Multi-voxel Pattern Analysis: A neuroscientific perspective7 min
Module 26: MVPA Intro10 min
Module 27: Performing MVPA I9 min
Module 28: Performing MVPA II5 min
Module 29: MVPA-PM Example – NPS - Expand: Social and physical pain10 min
Module 29B: MVPA-PM Example – NPS - Expand: Social and physical pain7 min
1 exercice pour s'entraîner
Quiz 430 min
Avis
Meilleurs avis pour PRINCIPLES OF FMRI 2
par AJ11 nov. 2018
Similar to the first installment of the series. I found this course enlightening and easily digestible, especially considering the advance material it discusses. Overall enjoyable experience.
par FS9 mai 2018
Comprehensive, Informative & exciting course... highly recommended for Psychiatrists, or any mental health professionals interested in neuropsychiatry and neuroscience !
par IF29 juil. 2019
Excellent, thorough explanation of the computations and theory underlying fMRI analysis. I particularly enjoyed the emphasis on MVPA. Thanks!
par JM23 mai 2019
Very good course. Best week is the last week. Its does a good overview of fMRI Statistical analysis and design of experiments.
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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