FUNDAMENTALS OF ELECTROENCEPHALOGRAPHY (EEG) DATA ACQUISITION AND INTERPRETATION (2019)

Welcome to FUNDAMENTALS OF ELECTROENCEPHALOGRAPHY (eeg) dATA ACQUISITION AND INTERPRETATION




Description:

Surface electroencephalography (EEG) has become a popular method to describe electrocortical activation. This course will provide an overview on the relevance of surface electroencephalography (EEG) for understading the supraspinal role on motor control and learning. The topics covered include:

 

  • Basic aspects of neurophysiology relevant for EEG recordings
  • EEG and time-locked events (MRCPs, ERPs)
  • EEG in continuous recordings (relevant brain states, time-frequency analysis)
  • EEG and behavioural neuroscience (diverse topics)
  • Basic data processing (filtering, re-referencing, EEG data cleaning)

 

A combination of theoretical lectures and hands-on experiences in laboratory exercises will elicit reflexions on the methodological advantages and disadvantages of the tool. The lecturers will strongly emphasize the experimental procedures and potential relevance of the outcomes measured through EEG recordings. The data recorded during experimental sessions will be further used on the course assignment, providing students the opportunity to develop data processing skills and the ability to interpret EEG data.

 

Literature

Cohen MX. Analyzing neural time series: Theory and Practice. Cambridge, MA: MIT Press, 2014.

Other relevant papers and book chapters will be provided to the participants shortly before the course.

 

Prerequisites

A basic background within Anatomy, Physiology and Motor Control is desirable. Basic skills in Matlab programming are also desired.

 

Evaluation

A final assignment will be presented on the last day of the course. The assignment consists of performing data analysis and interpretation of outcomes from an EEG data collection. Data from PhD experiments can be used for presentation if the student already possess his/her own EEG data.

Organizer: Associate Professor Anderson Oliveira, email: oliveira@mp.aau.dk



Lecturers: Associate Professor Natalie Mrachacz-Kersting, Assistant Professor Federico Arguissain, Associate Professor Anderson Oliveira, Aalborg University



ECTS: 2.5

Time: 13, 20, 27 May and 17 June 2019 (13.05, 20.05, 27.05: 12.30 – 16.15; 17.06: 8.15 – 16.15)



Place: Aalborg University, Fredrik Bajers Vej 7E, room E3-209

Zip code: 9220

City: Aalborg Øst

Number of seats:

Deadline: 23 April 2019

Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.