Brain imaging techniques and their applications
2401-K-S2-1-TOM
Topics:
Introduction to EEG.
Evoked potentials and "resting" brain activity.
Basic principles of EEG data analysis. In search of the sources of cognitive activity of the brain – what is the problem?
EEG fingerprint, EEG signal complexity.
Introduction to the magnetic resonance method. Basics of technique. Structural and functional resonance.
Application of MRI technique in science and medicine.
Basics of designing fMRI study schemes. Example paradigms.
fMRI data analysis (task).
fMRI data analysis (resting activity).
Simultaneous recording of EEG and fMRI signals.
Computed tomography (CT).
SPECT and PET – basics and possible applications in scientific research.
Near infrared spectroscopy (NIRS).
Total student workload
1. Hours with a teacher: 30
2. Hours devoted to the student's individual work needed to successfully complete the course, i.e. preparation and completion of notes; collecting and selecting appropriate materials for classes, required repetition of material, writing papers and solving homework: 60
3. Hours required to prepare the final assessment: 30
Learning outcomes - knowledge
Effects of the field of education:
K_W06
has detailed knowledge of the structure and functions of the human nervous system and knows methods of examining its functions; has basic knowledge of the structure and functions of the nervous system of selected animals
K_W07
has extended knowledge of the relationships between the functioning of the central nervous system and motor activities, cognitive and emotional functioning of humans
K_W08
knows the basic methods of psychophysiological measurement and the biological mechanisms underlying the measured variables
K_W24
knows the basic aspects of the construction and operation of scientific equipment relevant to psychology (e.g. MRI, EEG, eyetracker)
Effects of the subject of education:
-has basic knowledge about the structure and functions of the human brain
-knows the physical basis and possible applications of selected neuroimaging methods (multi-channel EEG, fMRI, CT, fNIRS, SPECT/PET)
Learning outcomes - skills
Effects of the field of education:
K_U05
can critically analyze popular publications in the field of psychology, as well as separate views based on common knowledge from scientific data
K_U06
has in-depth research skills, including acquiring knowledge, analyzing the works of other authors, synthesizing various ideas and views, selecting protocols for examining mental processes
Effects of the subject of education:
-can critically analyze scientific publications that describe the results of research using neuroimaging methods
-can indicate the brain imaging method that should be used to answer the research questions
Learning outcomes - social competencies
Effects of the field of education:
K_K02
can independently and critically supplement knowledge and skills in the field of psychology; can conduct scientific discussions
K_K05
understands the need to expand knowledge from other disciplines to better understand human bio-psycho-social functioning; is aware of the importance of the mental sphere for the quality of general human functioning
Effects of the subject of education:
-can icritically supplement knowledge about brain imaging methods
-understands the need to work in an interdisciplinary team to be able to perform, analyze and interpret the results of neuroimaging tests
Teaching methods
conversational lecture
conventional lecture
Observation/demonstration teaching methods
- display
Expository teaching methods
- participatory lecture
- description
- informative (conventional) lecture
- narration
Exploratory teaching methods
- seminar
Type of course
compulsory course
Prerequisites
None
Course coordinators
Assessment criteria
Multiple choice test (60% correct pass the test)
Criteria:
2 < 12 points (60%)
3 - 12 points (60%)
3.5 - 14 points (70%)
4 - 16 points (80%)
4.5 - 18 points (90%)
5 - 19 points (95%)
Practical placement
Bibliography
1. Poldrack, R. A., Mumford, J. A., & Nichols, T. E. (2011). Handbook of functional MRI data analysis. Cambridge University Press.
2. Poldrack, R. A. (2018). The new mind readers: What neuroimaging can and cannot reveal about our thoughts. Princeton University Press.
3. Fornito, A., Zalesky, A., & Bullmore, E. (2016). Fundamentals of brain network analysis. Academic Press.
4. William D. Penny (Editor), Karl J. Friston (Editor), John T. Ashburner (Editor), Stefan J. Kiebel (Editor), Thomas E. Nichols (Editor) Statistical Parametric Mapping: The Analysis of Functional Brain Images 1st Edition.
5. Luck S. (2005) An Introduction to the Event-Related Potential Technique. The MIT Press.
Additional information
Additional information (registration calendar, class conductors,
localization and schedules of classes), might be available in the USOSweb system: