Course - Human Psychophysiology: High-Density EEG Analysis - PSY8005
PSY8005 - Human Psychophysiology: High-Density EEG Analysis
Lessons are not given in the academic year 2020/2021
Examination arrangement: Report
|Evaluation form||Weighting||Duration||Examination aids||Grade deviation|
Event related potentials (ERP's) and time-frequency analyses combined with clustering techniques such as principal and independent component analyses (PCA/ICA) will be taught and practised in the course.
High-density EEG recordings are often challenging to analyse. Conventional ERP analysis typically focuses on a small number of channels and identifies differences between trial types in certain time windows. Although this method can be used with high-density data, it does not take full advantage of the spatiotemporal information present in the data. One way of analysing electrical recordings made at the scalp is based on the assumption that EEG signals may be interpreted as a mixture of the activity of a number of underlying sources in the brain. Source separation consists of identifying different sources in the brain, where each source is described in terms of a varying course of activity and a consistent distribution across the scalp. In other words, a statistically independent source can be represented as both a time-invariant scalp-surface map and a time course of the strength of expression of that spatial map in accounting for the overall EEG at that point in time. Further, a blind (unbiased) separation of sources in terms of PCA and ICA will be used allowing us to extract more general stuctures of brain activity.
- will have knowledge to carry out a traditional ERP/VEP-component analysis and to represent the results in a 3D head model.
- will have knowledge to recognize ordinary EEG artifacts caused by movements such as eye blinking, facial movements and head movements.
- will have adequate skills in collecting electroencephalogram (EEG) signals from the brain.
- will have adequate skills to carry out a source analysis which both includes single and double montage of source dipoles.
- will be able to record source modelling with fMRI through individual brain anatomy.
- will be able to test an experimental hypothesis concerning the visual system in humans.
- will be able to present their research results in a scientific report.
Learning methods and activities
Lectures (16h), seminars (16h), tutorial exercises (16h) and dissemination of research results in a scientific report will be central activities in the course. The course will only be run with a minimum of five PhD candidates and a maximum of fifteen candidates. The course will be organised as an intensive course comprising nine working days distributed over two weeks. Interested undergraduate students with relevant backgrounds will be assessed on an individual basis. PhD candidates have priority.
- Laboratory work
Exam registration requires that class registration is approved in the same semester. Compulsory activities from previous semester may be approved by the department.
Recommended previous knowledge
Rugg, M.D. & Coles, M.G.H (1996). Electrophysiology of Mind: Event-related brain potentials and cognition. Oxford: Psychology series (25).
Luck S.J. (2005). An Introduction to the Event-Related Potential Technique. Cambridge: MIT Press.
Required previous knowledge
Master's degree or equivalent in one of the relevant subject areas. Interested undergraduate students with relevant backgrounds will be assessed on an individual basis. PhD candidates have priority.
Various tutorials and practice data will be provided during the course.
Credits: 10.0 SP
Study level: Doctoral degree level
Language of instruction: English
- Computer and Information Science
- Clinical Medicine
- Medical Technology
- Biophysics and Medical Technology
- Human Movement Science
Department with academic responsibility
Department of Psychology
Examination arrangement: Report
- Term Status code Evaluation form Weighting Examination aids Date Time Digital exam Room *
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"