Neuroscience and Neuroimaging
About this 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 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.
90/100
CourseAsk score
- What the provider tells you
- 39/45
- Who stands behind it
- 35/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- understanding fundamental neuroscience concepts
- applying neuroimaging methods in research and clinical settings
- designing experiments utilizing neuroimaging techniques
- conducting data manipulation and analysis using R programming
Course objectives
- to provide a strong foundation in neuroanatomy and neuroimaging principles
- to equip students with skills in functional MRI and neuroimaging analysis
- to introduce practical implementation of neuroimaging data processing
Price shown by Coursera — confirm on their site.
Enroll on CourseraYou'll be redirected to Coursera to complete enrollment.
- Listed & compared by CourseAsk
- English · 0
Compared on these lists
Where this course ranks against the alternatives.
Coursera