psy170 - Neurophysiology

Goals of module:
Students will understand the basic concepts of biomedical signal processing. They will use EEG
analysis tools interactively and independently and will understand the complete chain of EEG
analysis steps, from data import to the illustration of results. They will be able to use open
source tools for EEG analysis and apply theoretical knowledge to practical problems of
physiology.

Competencies:
++ Neuropsychological / neurophysiological knowledge
++ experimental methods
++ statistics & scientific programming
++ ethics / good scientific practice / professional behavior
+ group work
+ project & time management

Students will acquire specific knowledge about neurophysiology and neuroanatomy, learn the
fundamental concepts of multi-channel EEG analysis, and acquire hands-on skills in recording EEG data and using EEGLAB, an open-source software toolbox for advanced EEG analysis.

Part 1: Neurophysiology and neuroanatomy (lecture): winter
Neurophysiology, EEG, EMG, ECG
Neuroanatomy
Time-domain and frequency-domain analysis methods

Part 2: EEG recording and analysis (seminar): winter
In small groups under supervision of the lecturer, all students will record EEG data of their fellow students and will serve as participants for their classmates. We cannot guarantee same-gender groups.
Recording and analysis of biomedical signals
Averaging, filtering, signal-to-noise
Topographical EEG analysis

Part 3: EEG analysis with Matlab (seminar): summer
EEGLAB file I/O, data structure and scripting
Preprocessing, artefact rejection and artefact correction
Statistical decomposition
Event-related potentials, topographical mapping and power spectra
Illustration of results
Literatur

• Kandel et al. (2000). Principles of Neural Science, McGraw-Hill
• Luck, S.J. (2005). An Introduction to the ERP Technique, The MIT Press
• Van Drongelen, W. (2006). Signal Processing for Neuroscientists, Academic Press