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.
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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.
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.
What's inside
Four courses
Fundamental Neuroscience for Neuroimaging
(0 hours)
Fundamental Neuroscience for Neuroimaging
(0 hours)
Principles of fMRI 1
Principles of fMRI 1
Principles of fMRI 2
Principles of fMRI 2
Introduction to Neurohacking In R
(0 hours)
Introduction to Neurohacking In R
(0 hours)Learning objectives
- 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.
- 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.
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