This course is part of the Neuroscience and Neuroimaging Specialization

4.7
stars
225 ratings

Martin Lindquist, PhD, MSc +1 more instructor

14,578 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. 8 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. 8 hours to complete

English

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Instructors

Instructor rating

4.5/5 (33 Ratings)

Martin Lindquist, PhD, MSc

Professor, Biostatistics

Bloomberg School of Public Health | Johns Hopkins University

39,240 Learners

2 Courses

Tor Wager, PhD

Diana L. Taylor Distinguished Professor

Department of Psychological and Brain Sciences

39,240 Learners

2 Courses

Offered by

Johns Hopkins University

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Syllabus - What you will learn from this course

Week1

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 solutions14mModule 1B: Crises in neuroscience and psychology: Problems and solutions14mModule 2A: Pitfalls and Biases in Interpretation: Circularity, Reverse inference, Voodoo, and Beyond11mModule 2B: Pitfalls and Biases in Interpretation: Circularity, Reverse inference, Voodoo, and Beyond13mModule 3: Meta Analysis10mModule 4: Using meta-analysis to improve inference12mModule 5: Optimizing acquisition for your study goals18mModule 6: Resting-state fMRI7m

1 reading

Syllabus10m

1 practice exercise

Quiz 130m

Week2

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 efficiency9mModule 7B: Advanced Experimental Design I - Fundamentals of design efficiency12mModule 8: Advanced Experimental Design II – Efficiency in fMRI10mModule 9: Advanced Experimental Design III – Optimizing experimental designs with genetic algorithms12mModule 10: Model building: Parametric modulators8mModule 11: Basis Sets II: Smooth FIR, HTW, Basis sets at 2nd level11mModule 12A: Multicolinearity and diagnostics10mModule 12B: Multicolinearity and diagnostics8mModule 13: Robust regression14mModule 14A: Practical group analysis: Procedures and checks9mModule 14B: Practical group analysis: Procedures and checks10m

1 practice exercise

Quiz 230m

Week3

Week 3

2 hours to complete

Week 3

2 hours to complete

8 videos (Total 77 min)

8 videos

Module 15: Brain Connectivity – different types6mModule 16: Functional Connectivity9mModule 17: Multivariate Decomposition Methods9mModule 18: Dynamic Connectivity9mModule 19: Network Analysis I – Graph theory10mModule 20: Effective Connectivity9mModule 21: Mediation, moderation, and structural models12mModule 21B: Mediation, moderation, and structural models11m

1 practice exercise

Quiz 330m

Week4

Week 4

2 hours to complete

Week 4

2 hours to complete

10 videos (Total 90 min)

10 videos

Module 22: Directed graphs: DCM7mModule 23: Directed graphs: Granger causality9mModule 24: Principles of causal inference12mModule 25: Multi-voxel Pattern Analysis: A neuroscientific perspective10mModule 25B: Multi-voxel Pattern Analysis: A neuroscientific perspective7mModule 26: MVPA Intro10mModule 27: Performing MVPA I9mModule 28: Performing MVPA II5mModule 29: MVPA-PM Example – NPS - Expand: Social and physical pain10mModule 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
18.22%
3 stars
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2 stars
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1 star
0.44%

TOP REVIEWS FROM PRINCIPLES OF FMRI 2

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 FCJun 8, 2017

Very interesting. I liked very much the last bit on MVPA.

by MWOct 31, 2022

A really detailed explanation of fmri data analysis. But if there are more exercises, it will be even better!

by IFJul 29, 2019

Excellent, thorough explanation of the computations and theory underlying fMRI analysis. I particularly enjoyed the emphasis on MVPA. Thanks!

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.

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Principles of fMRI 2

About this Course