For students attending the course Introduction to Brain Imaging in Neuroscience: With a Focus on MRI, PET, EEG and MEG Methods, 7.5 credits course code 2QA313
Through the course, you get an understanding of the methods used for measuring the function and structure of the human brain in neuroscience. The focus is on the methods magnetic resonance imaging (structural and functional MRI), positron emission tomography (PET), electroencephalography (EEG) and magnetoencephalography (MEG).
The course is aimed at those who want to understand how different brain imaging techniques work and how they can be used to determine the structure and function of the human brain. The course is especially suitable if you want to use brain imaging techniques in neuroscientific research, medical technology development, or clinical work.
Through the course, you get a good understanding of the methods used when measuring the function and structure of the human brain in neuroscience. The focus is on the methods of magnetic resonance imaging (structural and functional MRI), positron emission tomography (PET), electroencephalography (EEG) and magnetoencephalography (MEG).
The course deals with the theoretical background to the methods and gives you a good overview of how they are used in research and health care. The course also sheds light on how the methods can be combined in multimodal analyzes and discuss the interplay between the development of theory, technology, method, and applications in brain imaging.
After taking the course, the student should be able to:
- describe the function of the instruments used to perform structural magnetic resonance imaging (sMRI), functional magnetic resonance imaging (fMRI), positron emission tomography (PET), electroencephalography (EEG) and magnetoencephalography (MEG), and to describe what aspect of the brain's structure and function these instrument register
- describe basic principles for the analysis of data from measurements using sMRI, fMRI, PET, EEG and MEG
- give an overview of clinical and academic applications for each of the imaging methods
- give an overview of instruments and analysis methods used for multimodal brain imaging.
Before course start
If you have been accepted in the first selection, you must accept your admission no later than August 23 by logging in and following the instructions on "My pages" on antagning.se.
Activate your student account and register for the course.
To study at KI, you must also activate a student account and register for the course within the specified time.
Student accounts for new students at KI are ready for activation on August 2, 2022. Follow the instructions to activate your student account. If you are already a student at KI, you use the same student account as usual.
Once you have activated your student account, you must register for the course. You register yourself in Ladok, where you will also always find information about the current registration period. Anyone who does not register for the course within the set time is considered to have rescinded their place on the course. It is only when you are registered that you are officially counted as a student and may participate in the teaching.
Information about distance education
Access to a computer with a webcam and internet connection is required for participating in the course. The teaching is divided into five course modules and takes place through lectures, group discussions and in-depth work. The examination takes place partly through a knowledge test in connection with the respective course elements, and partly through individual in-depth work.
If you want to rebid your place/reserve place, you do so via "My pages" on the national page antagning.se.. This is possible until the registration has opened on 23 August. If you want to cancel after the registration has opened, contact KI's own admissions unit via email at firstname.lastname@example.org.
Course start with mandatory attendance
The course begins with compulsory course start and introduction
When: Tuesday 30 August 2022 08:30.
Where: Via Zoom. Link sent out via Canvas.
I lärplattformen Canvas hittar du de kurser du är antagen på. Du behöver ett Canvaskonto för att kunna logga in.