About the Course
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 the 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.
What you will learn?
- Learn about fMRI data design, structure and acquisition.
- Familiarize yourself with fMRI Artifacts and types of noise.
- Learn how to read/write images of the brain in NIfTI format.
- Learn about Magnetic Resonance Spectroscopy.
There are 4 Courses in this Specialization
- Fundamental Neuroscience for Neuroimaging
- Principles of fMRI 1
- Principles of fMRI 2
- Introduction to Neurohacking In R
- Arnold Bakker Assistant Professor Psychiatry and Behavioral Sciences
- Tor Wager, PhD Diana L. Taylor Distinguished Professor Department of Psychological and Brain Sciences
- Ciprian M. Crainiceanu Professor Biostatstics
- Martin Lindquist, PhD, MSc Professor, Biostatistics Bloomberg School of Public Health | Johns Hopkins University
- Dr. Elizabeth Sweeney Rice Academy Postdoctoral Fellow Biostatistics
- John Muschelli III Assistant Scientist Biostatistics
To enroll in this course, click the link below.
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