Imaging in Neuroscience: with a Focus on Structural MRI Methods
In this course, you will get a deeper understanding of the neuroimaging methods magnetoencephalography (MEG) and electroencephalography (EEG) to measure human brain activity and learn tools to analyse neural time series data. We will cover the underlying signals and how to measure them (including next generation systems), how to design experiments, data preprocessing, sensor and source level analysis.
The course will consist of a series of lectures and tutorials where you will get to analyse MEG and EEG data. It is hosted by The National Facility for Magnetoencephalography (NatMEG) at the Department of Clinical Neuroscience at Karolinska Institutet.
After attending the course the student should be able to:
) follow the usual preprocessing steps of MEG and EEG; 2) give an overview of different methods to analyze the data and explain when to use them;
3) conduct MEG and EEG analysis using several methods;
4) describe different aspects of experimental design to have in consideration when creating a MEG and EEG study; 5) give a brief overview of the usage of MEG and EEG to study brain function; 6) give a brief overview of other techniques to study brain function non-invasively and describe their relative merits and challenges.
Background in medicine, biomedicine, biology, psychology, cognitive science, medical imaging, computational biology or similar. At least basic medical statistics