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”.
Principles of fMRI 2
Principles of fMRI 2
This course is part of Neuroscience and Neuroimaging Specialization
Instructors: Martin Lindquist, PhD, MSc
Access provided by University of the Philippines, OIL
18,616 already enrolled
Gain insight into a topic and learn the fundamentals.
249 reviews
9 hours to complete
Flexible schedule
Learn at your own pace
Skills you'll gain
- Network Analysis
- Data Analysis
- Statistical Modeling
- Statistical Analysis
- Model Evaluation
- Correlation Analysis
- Time Series Analysis and Forecasting
- Medical Imaging
- Magnetic Resonance Imaging
- Advanced Analytics
- Statistical Methods
- Psychology
- Regression Analysis
- Neurology
- Image Analysis
- Dimensionality Reduction
- Statistical Inference
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Assessments
4 assignments
Taught in English
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This course is part of the Neuroscience and Neuroimaging Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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IF
Reviewed on Jul 29, 2019
Excellent, thorough explanation of the computations and theory underlying fMRI analysis. I particularly enjoyed the emphasis on MVPA. Thanks!
JM
Reviewed on May 23, 2019
Very good course. Best week is the last week. Its does a good overview of fMRI Statistical analysis and design of experiments.
JK
Reviewed on Feb 11, 2019
Great course and demonstration with real research examples.
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