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Martin Lindquist, PhD, MSc and Tor Wager, PhD

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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What's inside

Syllabus

Week 1
This week we will discuss psychological and behavioral inference, as well as advanced experimental design.
Week 2
This week we will continue with advanced experimental design, and also discuss advanced GLM modeling.
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Week 3
This week we will focus on brain connectivity.
Week 4
This week we will focus on multi-voxel pattern analysis.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Covers advanced topics that build upon the knowledge gained in Part 1 of this course series
Suitable for intermediate learners who already have a foundation in fMRI
Provides a comprehensive overview of advanced fMRI analysis techniques
Provides practical guidance through case studies
Taught by instructors who are recognized for their work in neuroimaging
Requires extensive background knowledge in fMRI and related fields

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Reviews summary

Excellent fmri 2 course

Learners say Principles of fMRI 2 is a comprehensive, informative and exciting course. This course is highly recommended for psychiatrists and other mental health professionals who are interested in neuropsychiatry and neuroscience.
This course is very informative.
"Comprehensive, Informative & exciting course..."
I highly recommend this course.
"highly recommended for Psychiatrists, or any mental health professionals interested in neuropsychiatry and neuroscience !"

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Principles of fMRI 2 with these activities:
Volunteer at a neuroimaging lab
Volunteering at a neuroimaging lab will give you hands-on experience with fMRI data collection and analysis.
Show steps
  • Find a neuroimaging lab to volunteer at
  • Contact the lab and inquire about volunteering opportunities
  • Attend a training session on the lab's fMRI equipment
  • Assist with data collection and analysis
Practice GLM modeling
Practicing GLM modeling will help you gain a better understanding of how to use this technique to analyze fMRI data.
Show steps
  • Review the GLM theory
  • Create a simple GLM model
  • Fit the GLM model to your data
  • Interpret the results of the GLM model
Attend an fMRI data analysis workshop
Attending an fMRI data analysis workshop will provide you with the opportunity to learn from experts in the field and gain hands-on experience with the latest techniques.
Show steps
  • Find an fMRI data analysis workshop
  • Register for the workshop
  • Attend the workshop
  • Participate in the hands-on exercises
Four other activities
Expand to see all activities and additional details
Show all seven activities
Participate in a peer review session
Participating in a peer review session will help you gain feedback on your work and improve your understanding of the material.
Show steps
  • Find a peer review group
  • Submit your work to the peer review group
  • Review the work of other group members
  • Provide feedback on the work of other group members
Practice brain connectivity analysis
Practicing brain connectivity analysis will help you gain a better understanding of how to use this technique to identify and characterize the connections between different brain regions.
Show steps
  • Review the theory of brain connectivity
  • Create a brain connectivity matrix
  • Cluster the brain connectivity matrix
  • Interpret the results of the brain connectivity analysis
Develop a tutorial on fMRI data analysis
Creating a tutorial on fMRI data analysis will help you summarize and strengthen your understanding of the techniques used in this course.
Show steps
  • Identify the key concepts in fMRI data analysis
  • Organize the key concepts into a logical flow
  • Develop the content for each section of the tutorial
  • Create visual aids to illustrate the concepts
  • Record yourself presenting the tutorial
Practice multi-voxel pattern analysis
Practicing multi-voxel pattern analysis will help you gain a better understanding of how to use this technique to decode the information that is represented in the brain.
Show steps
  • Review the theory of multi-voxel pattern analysis
  • Create a multi-voxel pattern classifier
  • Train the multi-voxel pattern classifier
  • Test the multi-voxel pattern classifier
  • Interpret the results of the multi-voxel pattern analysis

Career center

Learners who complete Principles of fMRI 2 will develop knowledge and skills that may be useful to these careers:
Postdoctoral Researcher
As a Postdoctoral Researcher specializing in neuroimaging, you will play a critical role in advancing our understanding of the brain. Functional Magnetic Resonance Imaging (fMRI) is a vital tool for studying the living, functioning human brain, and this course will equip you with the advanced analytical skills necessary to excel in this field. The course covers topics like advanced experimental design, GLM modeling, brain connectivity, and multi-voxel pattern analysis, all of which are essential for conducting groundbreaking research in neuroimaging.
Research Scientist
As a Research Scientist in the field of neuroimaging, you will be responsible for designing, conducting, and analyzing research studies that investigate the structure and function of the brain. This course in Principles of fMRI 2 will provide you with the advanced analytical skills and knowledge of experimental design that are essential for success in this role. You will learn techniques for analyzing fMRI data, including advanced GLM modeling, brain connectivity, and multi-voxel pattern analysis, which will enable you to make meaningful contributions to the field of neuroimaging research.
Cognitive Neuroscientist
As a Cognitive Neuroscientist, you will study the relationship between the brain and cognition. This course in Principles of fMRI 2 will provide you with the advanced analytical skills and knowledge of experimental design that are essential for success in this field. You will learn techniques for analyzing fMRI data, including advanced GLM modeling, brain connectivity, and multi-voxel pattern analysis, which will enable you to investigate the neural mechanisms underlying cognitive processes.
Neuropsychologist
As a Neuropsychologist, you will assess and diagnose brain injuries and disorders. This course in Principles of fMRI 2 will provide you with the advanced analytical skills and knowledge of experimental design that are essential for success in this field. You will learn techniques for analyzing fMRI data, including advanced GLM modeling, brain connectivity, and multi-voxel pattern analysis, which will enable you to better understand the neural mechanisms underlying brain injuries and disorders.
Neurologist
As a Neurologist, you will diagnose and treat disorders of the nervous system. This course in Principles of fMRI 2 will provide you with the advanced analytical skills and knowledge of experimental design that are essential for success in this field. You will learn techniques for analyzing fMRI data, including advanced GLM modeling, brain connectivity, and multi-voxel pattern analysis, which will enable you to better understand the neural mechanisms underlying neurological disorders.
Psychiatrist
As a Psychiatrist, you will diagnose and treat mental disorders. This course in Principles of fMRI 2 will provide you with the advanced analytical skills and knowledge of experimental design that are essential for success in this field. You will learn techniques for analyzing fMRI data, including advanced GLM modeling, brain connectivity, and multi-voxel pattern analysis, which will enable you to better understand the neural mechanisms underlying mental disorders.
Biomedical Engineer
As a Biomedical Engineer specializing in neuroimaging, you will design and develop new technologies for imaging the brain. This course in Principles of fMRI 2 will provide you with the advanced analytical skills and knowledge of experimental design that are essential for success in this field. You will learn techniques for analyzing fMRI data, including advanced GLM modeling, brain connectivity, and multi-voxel pattern analysis, which will enable you to develop more effective neuroimaging technologies.
Data Scientist
As a Data Scientist specializing in neuroimaging, you will use statistical and computational methods to analyze fMRI data. This course in Principles of fMRI 2 will provide you with the advanced analytical skills and knowledge of experimental design that are essential for success in this field. You will learn techniques for analyzing fMRI data, including advanced GLM modeling, brain connectivity, and multi-voxel pattern analysis, which will enable you to make meaningful contributions to the field of neuroimaging research.
Software Engineer
As a Software Engineer specializing in neuroimaging, you will develop software for analyzing and visualizing fMRI data. This course in Principles of fMRI 2 will provide you with the advanced analytical skills and knowledge of experimental design that are essential for success in this field. You will learn techniques for analyzing fMRI data, including advanced GLM modeling, brain connectivity, and multi-voxel pattern analysis, which will enable you to develop more effective neuroimaging software.
Statistician
As a Statistician specializing in neuroimaging, you will develop and apply statistical methods for analyzing fMRI data. This course in Principles of fMRI 2 will provide you with the advanced analytical skills and knowledge of experimental design that are essential for success in this field. You will learn techniques for analyzing fMRI data, including advanced GLM modeling, brain connectivity, and multi-voxel pattern analysis, which will enable you to make meaningful contributions to the field of neuroimaging research.
Physicist
As a Physicist specializing in neuroimaging, you will develop and apply physical principles to the study of the brain. This course in Principles of fMRI 2 will provide you with the advanced analytical skills and knowledge of experimental design that are essential for success in this field. You will learn techniques for analyzing fMRI data, including advanced GLM modeling, brain connectivity, and multi-voxel pattern analysis, which will enable you to develop more effective neuroimaging technologies.
Computer Scientist
As a Computer Scientist specializing in neuroimaging, you will develop and apply computational methods for analyzing fMRI data. This course in Principles of fMRI 2 will provide you with the advanced analytical skills and knowledge of experimental design that are essential for success in this field. You will learn techniques for analyzing fMRI data, including advanced GLM modeling, brain connectivity, and multi-voxel pattern analysis, which will enable you to develop more effective neuroimaging software.
Mathematician
As a Mathematician specializing in neuroimaging, you will develop and apply mathematical models to the study of the brain. This course in Principles of fMRI 2 may be useful as it will provide you with the advanced analytical skills and knowledge of experimental design that are essential for success in this field. You will learn techniques for analyzing fMRI data, including advanced GLM modeling, brain connectivity, and multi-voxel pattern analysis, which will enable you to develop more effective neuroimaging models.
Electrical Engineer
As an Electrical Engineer specializing in neuroimaging, you will design and develop hardware for imaging the brain. This course in Principles of fMRI 2 may be useful as it will provide you with the advanced analytical skills and knowledge of experimental design that are essential for success in this field. You will learn techniques for analyzing fMRI data, including advanced GLM modeling, brain connectivity, and multi-voxel pattern analysis, which will enable you to develop more effective neuroimaging hardware.
Biostatistician
As a Biostatistician specializing in neuroimaging, you will develop and apply statistical methods to the analysis of biological data, including fMRI data. This course in Principles of fMRI 2 may be useful as it will provide you with the advanced analytical skills and knowledge of experimental design that are essential for success in this field. You will learn techniques for analyzing fMRI data, including advanced GLM modeling, brain connectivity, and multi-voxel pattern analysis, which will enable you to make meaningful contributions to the field of neuroimaging research.

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Principles of fMRI 2.
An advanced textbook on brain connectivity dynamics, this book is suitable for researchers and students who want to learn more about this topic.
A specialized textbook on multi-voxel pattern analysis of fMRI data, this book is suitable for researchers who want to learn more about this technique.
Explores the connectome, the map of the brain's connections.
An introduction to the human brain and behavior, this book provides a useful background for those who are new to neuroscience.
A detailed look at the neural basis of thinking and reasoning, this book valuable resource for those who are interested in this topic.

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