Introduction to Brain Imaging in Neuroscience: With a Focus on MRI, PET, EEG and MEG Methods, 7.5 credits

At least 120 credits in psychology, psychiatry, neuro science, medicine, or medical technology. Alternatively 60 credits within psychology, psychiatry, neuro science, medicine, or medical technology on/at Secondary level.

And proficiency in English equivalent to English B/English 6.

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 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.

The course covers the theoretical background to the brain imaging methods sMRI, fMRI, PET, EEG and MEG, such as what aspects of the human brain's structure and function they register, and the operation principles of the imaging instruments. The coursed gives the student a good understanding in how the different methods are used in academic research as well as in health care. The course also addresses how the imaging methods can be combined in multimodal analyses, and discusses the interplay between development of theory, instrumentation, method, and applications.
The course begins with an introduction to brain imaging methods within neuroscience. In separate course modules, the course then offers the student a deeper understanding of the different methods sMRI, fMRI, PET, EEG and MEG, as well as combining them in multimodal brain imaging. Finally, the students will deepen their knowledge on a topic of their choice in an individual study project.

The goal of the sMRI module is to provide the students with a solid understanding of structural magnetic resonance imaging (sMRI) and the tools available to analyse sMRI data. Firstly, the physiological basis of the sMRI signals and how they are measured will be discussed - the fundamentals of image processing will be introduced together with an overview of basic MRI physics. This module will then focus on main sMRI methods. The module will cover state-of-the-art methods for investigating brain morphology (automated segmentation of volume, cortical thickness, etc), and it will also cover methods for studying brain connectivity, including diffusion imaging. The sMRI module will also cover advanced methods for data analysis (multivariate data analysis, deep learning and graph theory) and other popular sMRI techniques such as quantitative susceptibility mapping, arterial spin labelling, etc, with a focus on future directions. Finally, several applications, including how sMRI is used today in clinical practice, will be discussed.

In the fMRI module, the students will be introduced to the study of brain activity using magnetic resonance imaging (MRI). The neuronal and physiological basis of the functional MRI (fMRI) signals and how they are measured will be discussed. Task fMRI and resting state fMRI will be presented as methods to address research questions about: localization of brain function, brain functional connectivity, decoding within and between subject variables from patterns of activity and studying representations of percepts, actions and thoughts. Experimental design and data analysis techniques adequate to different research questions will be addressed. The students will also be introduced to fMRI applications for clinical studies and practice.

In the EEG and MEG module, the student is first introduced to the neural basis of the MEG and EEG signal. The module then focuses on how this neural signal is registered by the different sensor technologies used within the MEG and EEG fields, including current developments of next-generation MEG and EEG sensor technologies. The data processing steps are then briefly explained, including an overview of different strategies for analysing MEG and EEG data, including evoked- and induced responses, source analysis, functional connectivity, and multivariate pattern analysis. A strong emphasis is then placed on how MEG and EEG are used in research and in clinical and commercial applications.

In this module the students will be introduced to brain imaging using the nuclear imaging technique Positron Emission Tomography (PET). The basic principles of radioligands and their development will be described, as well as their application in neuroscience research and clinical applications. Experimental design and data analysis techniques adequate to different research questions and clinical applications will be addressed. The areas will range from basic research to understand the central nerve system's physiology and pathophysiology of various diseases to development and evaluation of current and novel treatment strategies, and also the use of PET in a clinical setting in differential diagnosis of various diseases.

Multimodal imaging has become a powerful way to investigate the human brain, link brain structure to brain function, and understand human behaviour.

In this module, the student is introduced to common strategies to combine sMRI, fMRI, PET, EEG and MEG data. Instrumentation for multimodal studies is then described, together with the most popular methods for multimodal, including examples from multimodal imaging of neurological and psychiatric disorders. The student is finally introduced to emerging multimodal imaging techniques and future directions, including recent techniques for brain stimulation and their combination with sMRI, fMRI, EEG and MEG.

At the end of the course the students deepen their knowledge in a particular topic of brain imaging in neuroscience with a individual study project. The student choses an area and writes a short research proposal (1-2 pages) about it, accompanied by a short presentation in small groups.

The teaching methods used in this course are teacher-led lectures, group discussions and an individual advanced study project. All mandatory lectures are recorded and are accessible for rehearsal during the course period (does not replace obligatory attendance). Failure to attend shall lead to not pass a specific course module. Modules are sequential, so that failing to pass a module does not allow the student to continue with the course on that year, but can be continue the year after. The course is conducted online with the support of the Karolinska Institute digital learning platform. Via this platform, the student has access to different types of course content, such as lecture slides and recommended literature, and can also interact with other students within the course and with the course teachers, for example during group discussions.

Learning objectives are examined partly through knowledge tests in connection with each course topic.The course is also examined through an individual project. During the last week of the course, the student presents and discusses her/his project in small groups together with teachers and other students. All digital course meetings are mandatory.

Each of the six course modules is graded with a Pass or Fail grade. To pass the course, a pass grade is required for all course modules as well as for the individual advanced study project.

Absence from or non-fulfillment of mandatory course elements
The examiner decides whether, and if so how, absence from compulsory course elements can be made up for. Study results cannot be reported until the student has participated in compulsory course elements or compensated for any absence in accordance with instructions from the examiner. Absence from a compulsory course element could mean that the student can not retake the element until the next time the course is offered. Absence usually can not be for more than two lectures per module.

Possibility of exemption from the syllabus' regulations on examination
If there are special grounds, or a need for adaptation for a student with a disability, the examiner may decide to deviate from the syllabus' regulations on the examination form, the number of examination opportunities, the possibility of supplementation or exemptions from the compulsory section/s of the course etc. Content and learning outcomes as well as the level of expected skills, knowledge and attitudes may not be changed, removed or reduced.

Examination will be provided for one year after a possible closure of the course or with a new syllabus.

The course is offered in English.
Course evaluation will be carried out in accordance with the guidelines established for education at Karolinska Institutet.