Principles of fMRI 2
Master advanced fMRI analysis techniques, from experimental design to brain connectivity and multi-voxel pattern analysis. Continue your neuroimaging journey.
Master advanced fMRI analysis techniques, from experimental design to brain connectivity and multi-voxel pattern analysis. Continue your neuroimaging journey.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Neuroscience and Neuroimaging Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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English
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What you'll learn
Master advanced fMRI experimental design techniques
Apply GLM modeling and multivariate analysis methods
Understand different types of brain connectivity analysis
Implement multi-voxel pattern analysis (MVPA)
Conduct meta-analyses and optimize data acquisition
Skills you'll gain
This course includes:
6.5 Hours PreRecorded video
4 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This advanced course focuses on the analysis of Functional Magnetic Resonance Imaging (fMRI) data, building upon the foundations established in Principles of fMRI Part 1. Students learn sophisticated analysis techniques including advanced experimental design, GLM modeling, brain connectivity analysis, and multi-voxel pattern analysis. The curriculum covers cutting-edge methods in neuroimaging research, from psychological inference to network analysis and causal modeling.
Module 1: Psychological and Behavioral Inference
Module 1 · 2 Hours to complete
Module 2: Advanced Experimental Design and GLM Modeling
Module 2 · 2 Hours to complete
Module 3: Brain Connectivity
Module 3 · 1 Hours to complete
Module 4: Multi-voxel Pattern Analysis
Module 4 · 2 Hours to complete
Fee Structure
Instructors
Neuroimaging Statistics Expert and fMRI Research Pioneer at Johns Hopkins
Dr. Martin Lindquist serves as Professor of Biostatistics at Johns Hopkins University, specializing in mathematical and statistical applications in functional Magnetic Resonance Imaging (fMRI). His research encompasses the full spectrum of fMRI analysis, from developing new k-space sampling trajectories and reconstruction algorithms to creating innovative statistical methods for analyzing fMRI time series data. His work particularly focuses on advancing methods for studying brain connectivity and using neuroimaging data to predict psychological and disease states, making significant contributions to the field of neuroimaging statistics.
Distinguished Neuroscientist and Brain Research Leader
Dr. Tor Wager holds the prestigious position of Diana L. Taylor Distinguished Professor, with affiliations at both Johns Hopkins University and the University of Colorado Boulder. His groundbreaking research focuses on understanding brain mechanisms of pain, emotion, and human consciousness. Through his innovative work in neuroimaging and brain-behavior relationships, he has made significant contributions to our understanding of how the brain processes pain and emotions. His research has revolutionized our knowledge of placebo effects and brain-body connections, leading to important discoveries in pain management and emotional regulation. Dr. Wager's work combines advanced neuroimaging techniques with sophisticated analytical methods to explore how psychological processes influence physical health and well-being.
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4.7 course rating
239 ratings
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