Online Course – Certified Professional Internship in Neuroscience and Brain Imaging from Johns Hopkins University

Review basic neuroscience concepts, including functional magnetic resonance imaging (fMRI), cognitive enhancement (neurohacking) in R, and brain imaging.

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Professional Certificate

Intermediate level

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Understanding the anatomy of the brain
  • Knowledge of magnetic imaging principles
  • Ability to design magnetic imaging experiments
  • Proficiency in MRI analysis of functional connectivity
  • Knowledge of diffusion tensor imaging
  • Understanding spectroscopic imaging
  • Ability to use the R programming language to analyze magnetic imaging data
  • Proficiency in reading and writing brain images in NIfTI format
  • Ability to visualize and explore brain images
  • Performing a non-hardware repair
  • Brain extraction and image registration

What you will learn in the course

Courses for which the course is suitable

  • Brain researcher
  • Data Scientist in Neuroscience
  • Medical Imaging Analyst
  • Magnetic Imaging Engineer
  • R programmer in the field of neuroscience
  • Functional brain imaging specialist
  • Project Manager in the Field of Magnetic Imaging
  • Neurohacking researcher
  • Software developer for analyzing magnetic imaging data

Internship – a series of 4 courses

This specialization combines the power of 4 different neuroscience courses into a learning experience from France. The courses are delivered by Johns Hopkins University, and begin with fundamental neuroscience concepts for magnetic resonance imaging.

Course content

  • The anatomy of the brain
  • Principles of magnetic imaging
  • Design of magnetic imaging experiments
  • MRI of functional connectivity
  • Diffusion tensor imaging
  • Spectroscopic imaging

The specialization then continues with two courses that focus on functional magnetic imaging (fMRI), one of the most widely used methods for studying the brains of healthy people while they perform tasks and experience mental states.

Finally, the specialization deals with the implementation of neurohacking using the R programming language, along with associated packages, to manipulate, process, and analyze magnetic imaging data.

Applied Learning Project

Learners will move from fMRI data design, structure, and acquisition to using the R programming language and associated package to manipulate, process, and analyze magnetic resonance imaging data. In particular, you will learn how to:

  • Read/write brain images in NIfTI format
  • Imagine and explore these images.
  • Perform a hardware failure repair
  • Brainstorming and drawing an image (within a topic and within a template)

Details of the courses that make up the specialization

Basic nervous system sciences for neuroimaging

Course 1
9 hours
4.7 (2,177 ratings)

What will you learn?

  • Neuroimaging methods in clinical practice and basic research.
  • History of neuroimaging.
  • Neuroimaging physics and image creation.
  • Various applications of neuroimaging, including:
    • Functional MRI
    • Diffusion tensor imaging
    • Magnetic imaging spectroscopy
    • Image of paraphisia
    • Positron imaging
  • Basic terms in nervous system science.

fMRI Principles 1

Course 2
8 hours
4.6 (819 ratings)

What will you learn?

  • fMRI data design, acquisition, and analysis.
  • Drawing psychological conclusions.
  • Magnetic resonance physics.
  • Preprocessing of fMRI data.
  • Generalized linear models (GLM).

Book related to the lesson: Principles of fMRI

fMRI Principles 2

Course 3
8 hours
4.7 (239 ratings)

What will you learn?

  • Continued analysis of fMRI data.

Introduction to Neo-Hacking with R

Course 4
17 hours
4.6 (302 ratings)

What will you learn?

  • Using the R programming language to analyze neuroimaging data.
  • Correction of inhomogeneities, image registration and imaging.

Skills you will gain

  • Image processing
  • brain
  • R programming language
  • Neurology