Basics of neuroimaging with the use of fMRI
2404-P-5-NP-PNWT
The student will analyze fMRI data obtained from an example study. A part of the course is implemented at the fMRI laboratory of the CMIT NCU.
The following topics will be covered during the classes:
1. Basics of f/MRI technique.
2. Designing paradigms in fMRI research.
3. Analysis of fMRI data in the task: preparation of data for analysis + basics of statistical analysis.
4. Activation analysis using the General Linear Model (GLM).
5. Basics of functional connectivity analysis and network neuroscience.
6. Data visualization and reporting of results.
7. Voxel-based morphometry.
8. Application of fMRI in the clinic and research.
Total student workload
1. Hours with a teacher: 30 hours
2. Time devoted to the student's individual work needed to successfully complete the course, i.e. prior preparation and completion of notes; collecting and selecting appropriate materials for classes, required repetition of material, doing homework: 60 hours.
3. Time required to prepare the final assessment: 30 hours
Learning outcomes - knowledge
Effects of the field of education:
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:
-knows the physical basis of the fMRI technique and understands what can be examined using it
-knows the possible applications of the fMRI technique in the clinic and in scientific research
Learning outcomes - skills
Effects of the field of education:
K_U11
is able to use IT tools at work (both to support diagnosis and to conduct empirical research and perform statistical analyses)
Effects of the subject of education:
-can use specialized software to analyze fMRI data (pre-processing + statistical analysis)
- can design an fMRI paradigm to study sensory, cognitive and emotional functions
-can prepare a detailed fMRI report
-can critically evaluate fMRI research protocols
Learning outcomes - social competencies
Effects of the field of education:
K_K07
is able to cooperate and work in a group, taking on various roles in it, using the competences acquired during the implementation of the study program
K_K11
is aware of the level of his or her knowledge and skills; understands the need for lifelong learning; can inspire and organize the learning and development process of other people; demonstrates a critical attitude towards various psychological views and practices
Effects of the subject of education:
-can cooperate in a group and discuss ideas for fMRI research
-understands the need to have interdisciplinary knowledge (in the field of medicine, biology, psychology, physics) in order to design fMRI study protocols and analyze and interpret the obtained results
Observation/demonstration teaching methods
- display
Expository teaching methods
- description
- discussion
- participatory lecture
- informative (conventional) lecture
Exploratory teaching methods
- seminar
- project work
- brainstorming
- laboratory
- practical
Type of course
specific course (attribute withdrawn)
Prerequisites
None
Course coordinators
Assessment criteria
A mark to verify completing the course.
Conditions and requirements for completion:
1) Attendance at classes
2) Independently analyze the fMRI research results and present them in the form of a written report
Practical placement
Bibliography
1. Poldrack, R. A., Mumford, J. A., & Nichols, T. E. (2011). Handbook of functional MRI data analysis. Cambridge University Press.
2. Fornito, A., Zalesky, A., & Bullmore, E. (2016). Fundamentals of brain network analysis. Academic Press.
3. Penny, W.D., Friston, K.J., Ashburner, J.T., Kiebel S.J., Nichols, T.E. (Eds.) (2011). Statistical Parametric Mapping: The Analysis of Functional Brain Images 1st or newest editions, Elsevier Academic Press.
Additional information
Additional information (registration calendar, class conductors,
localization and schedules of classes), might be available in the USOSweb system: