The main objectives of this module are:
After completion of the course, students are able to
- Define characteristics of different human brain tissue types in dissection and imaging modalities
- Distinguish different part of human brain anatomy in macroscopic imaging and microscopic structure
- Apply knowledge on human brain anatomy to understand underlying mechanisms of pathology
- Distinguish modern methods concerning research on brain structure and function and evaluate shortcomings and possibilities of these methods
- Apply acquired knowledge of modern techniques in clinical diagnostic, but mainly clinical scientific research.
- Understand and explain concepts of magnetic resonance imaging (MR-physics) and the difference between neuroimaging techniques,
- Understand neuroimaging research and independently implement own research questions with adequate techniques
- Acquainted with general principles of MRI data analysis and understand processing steps and statistical analyses.
- Able to analyse structural MRI data (DWI-data).
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The module
Technological developments in neuroimaging have created a unique window into the structure and function of the living human brain. Neuroimaging is a recurring topic in media and has become a prominent and highly visible aspect of biomedical science. This two-module course aims to familiarize interested students with concepts of different neuroimaging techniques, anatomy of the human brain and a set of different analyses approaches for structural brain analyses and analyses of dynamic changes in brain function. The first module introduces the foundation for understanding and conducting research in neuroimaging. This first module starts with a detailed introduction into the anatomy of the human brain. In the second part of the first module, basics of magnetic resonance imaging (MRI) are taught, which will provide the foundation for understanding processing of functional and structural MRI data. The third part of the course builds on previously introduced MRI basics and communicates general concepts of MRI data analysis, as well as structural MRI analysis, with a focus on diffusion weighted imaging (DWI).
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