Course description
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.
Prerequisites and Selection
Prerequisite courses, or equivalent
Background in medicine, biomedicine, biology, psychology, cognitive science, medical imaging, computational biology or similar. At least basic medical statistics.
Selection
Selection will be based on:
1) the relevance of the course syllabus for the applicant’s individual study plan/research (according to written motivation).
2) start date of doctoral studies (priority given to earlier start date).
Course director
Christoph Pfeiffer,
christoph.pfeiffer@ki.se
Course syllabus
K8F3035
Department
Department of Clinical Neuroscience
Doctoral programme
Neuroscience
Type of course
**Other course
Keywords
Magnetoencephalography, Electroencephalography, Neuroscience, Brain imaging