EEG Course

Course materials can be found here. Please note that this course is held during the Computational Neuroimaging Clinic (location: ETZ building room H91)

Day

Topic

Speaker

Literature

01.10
Principles of EEG 1: oscillations

Presentation 1

Presentation 2

 Saee
  • Buzsáki, G. (2011). Rhythms of the Brain
  • Buzsáki et al. (2013). Scaling Brain Size, Keeping Timing: Evolutionary Preservation of Brain Rhythms
15.10
Principles of EEG 2: event-related potentials

Presentation

 Rike
  • Klimesch, W., Sauseng, P., Hanslmayr, S., Gruber, W., and Freunberger, R. (2007). Event-related phase reorganization may explain evoked neural dynamics
  • Luck (2014). An Introduction to the Event-Related Potential Technique
5.11
Filtering/ time frequency analysis

Presentation

Justin
  • Luck, S. (2014). An Introduction to the Event-Related Potential Technique (Chapter 12)
  • Herrmann, C.S., Rach, S., Vosskuhl, J., and Strüber, D. (2014). Time–Frequency Analysis of Event-Related Potentials: A Brief Tutorial
19.11
Pre-processing: Eye-Movement Correction

Presentation

Jakob
  • Luck, S. (2014). An Introduction to the Event-Related Potential Technique (Chapter 3)
  • Berg, P., and Scherg, M. (1994) A multiple source approach to the correction of eye artifacts
  • ICA Algorithms
  • ICA in EEG
26.11
Source reconstruction
Quentin
  • Luck, S. (2014). An Introduction to the Event-Related Potential Technique (Chapter 14)
  • Penny, W., Trujillo-Barreto, N., and Aubert, E. (2007). Spatio-temporal models for EEGPhillips, C., Mattout, J., and Friston, K. (2007). Forward models for EEG
  • López, J.D., Litvak, V., et al (2014). Algorithmic procedures for Bayesian MEG/EEG source reconstruction in SPM.
  • Overview of source reconstruction techniques
3.12
Source reconstruction with spatial priors: DeFleCT
Lars
  • Hauk, O., and Stenroos, M. (2014). A framework for the design of flexible cross-talk functions for spatial filtering of EEG/MEG data: DeFleCT
17.12
Practical Session using SPM
Andreea
  • Litvak et al. (2011). EEG and MEG Data Analysis in SPM8