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Neuroscience Course

4.3/5
Neuroscience Course
4.3 in rating
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

Gain a targeted understanding of motor circuit structures, basal ganglia functions, and dopamine signalling, applied to Parkinson disease symptoms and early stages. Master essential neuroimaging techniques, electrophysiology methods, movement analysis tools, and strong research practices including statistical analysis, ethical guidelines, data handling, and protocol creation for effective clinical studies.

Elevify advantages

Develop skills

  • Master Parkinsonian motor assessments using UPDRS and clinical bedside exams confidently.
  • Map motor circuits by connecting basal ganglia anatomy to observed motor symptoms.
  • Design and analyse neuroimaging studies like MRI, PET, and EEG for movement disorders.
  • Develop clinical trials in neurology with proper power calculations, statistics, and data workflows.
  • Conduct ethical neurology research covering consent processes, safety measures, privacy, and protocol viability.

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content that I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way of presentation and video transcription, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot in learning.
André Felipe
André FelipePrompt Engineering Student

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