Modern Methods in Brain Research 2-IKVa-137

The purpose of this course is to provide an overview of examination and imaging methods with an emphasis on their applications and comparisons of each other (e.g. temporal and spatial characteristics). Topics includes: basics of electroencephalography (EEG), physical and physiological principles of EEG, basics of EEG signal processing, artifacts in EEG, EEG spectral analysis, evoked and event-related potentials, principles of computed tomography (CT), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), positron emission tomography (PET), functional near-infrared spectroscopy (fNIRS), brains stimulation techniques like transcranial magnetic stimulation (TMS) and other modern methods used in the study of brain structure and function. The course will also include a brief introduction to other methods that do not directly measure brain activity, but rather its peripheral manifestations. These include electrooculography (EOG), electrodermal activity (EDA) or skin conductivity (SCL), electromyography (EMG), electrocardiography (ECG), respiratory rate and more.

Learning outcomes: Students will become familiar with key imaging methods and other types of research methods used in modern cognitive neuroscience and understand basic principles of use of these methods. They will get acquainted with the possibilities and suitability of their use, as well as with advantages and disadvantages of each particular method. After the course, students will be able to read, understand and summarize scientific papers concerning the discussed research methods and critically evaluate appropriate method applications. Theoretical knowledge will be supported by practical demonstrations of a recording of brain activity (especially by using EEG). It also includes participation in an MRI excursion.


Schedule

Druh výučby Day Time Room Teacher
Lecture and Seminar Tuesday 14:00 - 16:10 I-9 Barbora Cimrová

Syllabus

Date Content
14.2. Introduction to the course, CT.
21.2. MRI.
28.2. EEG - basics.
07.3. EEG –spectral analysis (frequency domain)
14.3. Gyorgy Buzsaki's Lecture at the Institute of Science and Technology Austria (ISTA)
21.3. EEG –evoked and event-related potentials (time domain)
28.3. EEG –topography
04.4 peripheral measurements(EDA, SCR, EMG, ECG, HRV)
11.4. no class - Easter Holidays
18.4. MEG, PET, fMRI, fNIRS
20.4. EEG practice
25.4. neurostimulation
02.5. neurofeedback, BCI
11.5. MRI excursion

Course requirements and grading

  • 50% - final exam (written test)
  • 20% - oral presentations
  • 10% - quick quizzes
  • 10% - EEG practice
  • 10% - MRI excursion
  • Overall score: A > 90%, B > 80%, C > 70%, D > 60%, E > 50%, otherwise Fx.