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
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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
- Regression Analysis
- Statistical Modeling
- Advanced Analytics
- Data Analysis
- Statistical Methods
- Statistical Inference
- Dimensionality Reduction
- Correlation Analysis
- Statistical Analysis
- Magnetic Resonance Imaging
- Neurology
- Network Analysis
- Psychology
- Model Evaluation
- Medical Imaging
- Image Analysis
- Time Series Analysis and Forecasting
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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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Showing 3 of 249
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.
OC
Reviewed on Nov 16, 2016
The course was ery good, I wish it also included working with sample fmri data.
FC
Reviewed on Jun 8, 2017
Very interesting. I liked very much the last bit on MVPA.
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