Neuroimaging I 

This course will explain the basic principles of different neuroimaging methods, both in terms of the brain signals that are measured and in terms of their applications in cognitive neuroscience research. The basic principles of EEG/ERP, MEG, and fMRI will be explained. In addition, methods of analyzing neuroimaging data will be discussed. After completion of the course, the students should be able to understand the methodological aspects of neuroimaging studies as published in the cognitive neuroscience literature.

Experimental design aspects: The course will discuss in detail how these methods are combined with experimental paradigms that isolate functional aspects of human cognition. It aims at making students aware of the relevant design issues in imaging experiments. It will also discuss the assumption in mapping functional onto neural architecture.

Data analysis aspects: The course will provide an overview over the methods of processing the data obtained with the different research methods commonly used in modern cognitive neuroscience. The underlying data analysis models will be discussed, e.g. the General Linear Model for fMRI.

• Hari R. (2005) Magnetoencephalography in Clinical Neurophysiological Assessment of Human Cortical Functions. In Electroencephalography Basic Principles, Clinical Applications, and Related Fields Hardbound, 5Th Edition (eds. Ernst Niedermeyer, Fernando Lopes da Silva) (a pdf-file is available from Ole Jensen upon request, )
• Aiver, Moriel N. (1996) All you really need to know about MRI physics. ISBN: 096609820X (http://www.simplyphysics.com/TEXTBOOK.HTM)

Via  STUDENT PORTAL till 5 working days before the start of the course

Note this course is for CNS students only. Non-CNS students can contact Yvonne Schouten () or Arno Koning ().

Behavioural Science (BS) students should contact drs. Wendy de Graaf, programme coordinator BS ()