Neuroimaging

Course: BIOLOGY (Master) FULL-TIME

Structural unit: Biology And Medicine Institute Science Educational Center

Title
Neuroimaging
Code
Module type
Вибіркова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2021/2022
Semester/trimester when the component is delivered
3 Semester
Number of ECTS credits allocated
5
Learning outcomes
PR4. Solve complex problems in the field of biology, generate and evaluate ideas. PR9. Plan research, choose effective research methods and their material support. PR19. Solve scientific-theoretical, research and applied problems of biology by appropriate methods. PR39. Be able to use existing and develop new algorithms for research of various physiological states of the human and animal body, which arise under certain conditions of existence on the basis of modern data on physiological mechanisms underlying life.
Form of study
Full-time form
Prerequisites and co-requisites
1. Successful mastering of disciplines "Physiology of the CNS", "Physiology of sensory systems". 2. Be able to independently apply knowledge of cytology, physiology, biochemistry, anatomy, etc. disciplines, work with scientific and methodological literature. 3. Possession of basic skills of systems analysis.
Course content
The discipline "Neuroimaging" is a new physiological discipline that studies methods of visualizing the structure, function and biochemical characteristics of the brain based on modern physical, mathematical methods and computer technology. , in particular, such as CNS physiology, psychophysiology, general neurophysiology, pathological physiology, occupational physiology, age physiology, as well as in interdisciplinary sciences (psychology, engineering psychology, zoopsychology, etc.).
Recommended or required reading and other learning resources/tools
1. Buckner RL, Krienen FM. The evolution of distributed association networks in the human brain // Trends in Cognitive Sciences, December 2013, Vol. 17, no. 12. - P. 648-665. 2. van den Heuvel MP, Sporns O. Network hubs in the human brain // Trends in Cognitive Sciences, December 2013, Vol. 17, no. 12. - P. 683-696. 3. Singer W. Cortical dynamics revisited // Trends in Cognitive Sciences, December 2013, Vol. 17, no. 12. - P .. 4. Smith S.M., Vidaurre D., Beckmann C.F. at all. Functional connectomics from resting-state fMRI // Trends in Cognitive Sciences, December 2013, Vol. 17, no. 12. - P.666-682. 5. Margulies D.S., Böttger J., Watanabe A., Gorgolewski K.J. Visualizing the human connectome // NeuroImage 80 (2013) 445–461.
Planned learning activities and teaching methods
Lecture, independent work, laboratory work.
Assessment methods and criteria
- semester assessment: 1. Modular control work 1 - PH 1.1; 1.2, 2.1 - 20 points / 10 points 2. Modular control work 2 - PH 1.3, 1.4; 2.2 - 20 points / 10 points 3. Evaluation of laboratory work - RN 2.1; 2.2; 3.1 –10 points / 5 points 3. Evaluation of abstracts RN 3.1, 4.1 -10 points / 5 points - final assessment: in the form of an exam
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Tetyana Vasylivna Kutsenko
Department of Human and Animal Physiology
Biology And Medicine Institute Science Educational Center
Igor Grigorovych Zyma
Department of Human and Animal Physiology
Biology And Medicine Institute Science Educational Center