This course is part of the Neuroscience and Neuroimaging Specialization

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stars
221 ratings

Martin Lindquist, PhD, MSc +1 more instructor

14,355 already enrolled

Offered By

Neuroscience and Neuroimaging SpecializationJohns Hopkins University

About this Course

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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”.

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Course 3 of 4 in the

Neuroscience and Neuroimaging Specialization

Approx. 9 hours to complete

English

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Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 3 of 4 in the

Neuroscience and Neuroimaging Specialization

Approx. 9 hours to complete

English

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Instructors

Instructor rating

4.48/5 (30 Ratings)

Martin Lindquist, PhD, MSc

Professor, Biostatistics

Bloomberg School of Public Health | Johns Hopkins University

38,766 Learners

2 Courses

Tor Wager, PhD

Diana L. Taylor Distinguished Professor

Department of Psychological and Brain Sciences

38,766 Learners

2 Courses

Offered by

Johns Hopkins University

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Syllabus - What you will learn from this course

Week

Week 1

2 hours to complete

Week 1

2 hours to complete

8 videos (Total 103 min), 1 reading, 1 quiz

8 videos

Module 1A: Crises in neuroscience and psychology: Problems and solutions14m

Module 1B: Crises in neuroscience and psychology: Problems and solutions14m

Module 2A: Pitfalls and Biases in Interpretation: Circularity, Reverse inference, Voodoo, and Beyond11m

Module 2B: Pitfalls and Biases in Interpretation: Circularity, Reverse inference, Voodoo, and Beyond13m

Module 3: Meta Analysis10m

Module 4: Using meta-analysis to improve inference12m

Module 5: Optimizing acquisition for your study goals18m

Module 6: Resting-state fMRI7m

1 reading

Syllabus10m

1 practice exercise

Quiz 130m

Week

Week 2

2 hours to complete

Week 2

2 hours to complete

11 videos (Total 119 min)

11 videos

Module 7A: Advanced Experimental Design I - Fundamentals of design efficiency9m

Module 7B: Advanced Experimental Design I - Fundamentals of design efficiency12m

Module 8: Advanced Experimental Design II – Efficiency in fMRI10m

Module 9: Advanced Experimental Design III – Optimizing experimental designs with genetic algorithms12m

Module 10: Model building: Parametric modulators8m

Module 11: Basis Sets II: Smooth FIR, HTW, Basis sets at 2nd level11m

Module 12A: Multicolinearity and diagnostics10m

Module 12B: Multicolinearity and diagnostics8m

Module 13: Robust regression14m

Module 14A: Practical group analysis: Procedures and checks9m

Module 14B: Practical group analysis: Procedures and checks10m

1 practice exercise

Quiz 230m

Week

Week 3

2 hours to complete

Week 3

2 hours to complete

8 videos (Total 77 min)

8 videos

Module 15: Brain Connectivity – different types6m

Module 16: Functional Connectivity9m

Module 17: Multivariate Decomposition Methods9m

Module 18: Dynamic Connectivity9m

Module 19: Network Analysis I – Graph theory10m

Module 20: Effective Connectivity9m

Module 21: Mediation, moderation, and structural models12m

Module 21B: Mediation, moderation, and structural models11m

1 practice exercise

Quiz 330m

Week

Week 4

2 hours to complete

Week 4

2 hours to complete

10 videos (Total 90 min)

10 videos

Module 22: Directed graphs: DCM7m

Module 23: Directed graphs: Granger causality9m

Module 24: Principles of causal inference12m

Module 25: Multi-voxel Pattern Analysis: A neuroscientific perspective10m

Module 25B: Multi-voxel Pattern Analysis: A neuroscientific perspective7m

Module 26: MVPA Intro10m

Module 27: Performing MVPA I9m

Module 28: Performing MVPA II5m

Module 29: MVPA-PM Example – NPS - Expand: Social and physical pain10m

Module 29B: MVPA-PM Example – NPS - Expand: Social and physical pain7m

1 practice exercise

Quiz 430m

Reviews

4.7

35 reviews

5 stars
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4 stars
18.55%
3 stars
3.16%
2 stars
0.45%
1 star
0.45%

TOP REVIEWS FROM PRINCIPLES OF FMRI 2

by CVNov 16, 2016

The course was ery good, I wish it also included working with sample fmri data.

by JMMay 23, 2019

Very good course. Best week is the last week. Its does a good overview of fMRI Statistical analysis and design of experiments.

by AJNov 11, 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.

by FSMay 9, 2018

Comprehensive, Informative & exciting course... highly recommended for Psychiatrists, or any mental health professionals interested in neuropsychiatry and neuroscience !

View all reviews

About the Neuroscience and Neuroimaging Specialization

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.

The specialization then continues with two courses that focus on Functional Magnetic Resonance Imaging, one of the most widely used techniques for investigating the living, functioning human brain as people perform tasks and experience mental states, and a convergence point for multidisciplinary work. To conclude, the specialization moves into implementation of neurohacking using the R programming language, with the associated packages to perform data manipulation, processing, and analysis of neuroimaging data, using publicly available structural MRI.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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Principles of fMRI 2

About this Course