Магистратура
2023/2024
Мультимодальное нейрокартирование Часть 2
Лучший по критерию «Полезность курса для расширения кругозора и разностороннего развития»
Статус:
Курс обязательный (Когнитивные науки и технологии: от нейрона к познанию)
Направление:
37.04.01. Психология
Кто читает:
Институт когнитивных нейронаук
Где читается:
Институт когнитивных нейронаук
Когда читается:
2-й курс, 1, 2 модуль
Формат изучения:
без онлайн-курса
Охват аудитории:
для своего кампуса
Прогр. обучения:
Когнитивные науки и технологии: от нейрона к познанию
Язык:
английский
Кредиты:
6
Контактные часы:
48
Course Syllabus
Abstract
The course is one of the core introductory courses of the Programme that give the overview of the state-of-the-art methodologies to study Cognition and Brain Function. Methods such as functional magnetic resonance imaging (fMRI), transcranial magnetic stimulation (TMS), Transcranial Direct Current Stimulation (tDCS) and Transcranial Alternating Current Stimulation (tACS), and others provide us with new insights into the structure and function of the human brain, along with more widely used electroencephalography (EEG). Recently, with the advent of superconductivity, a multichannel magnetoencephalography (MEG), the method that allow to record the activity of the same neural population as EEG does, came about and have been successfully applied for localizing sources in the brain. Nature and origin of electric, magnetic, NIRS, and blood-oxygen-level-dependent (BOLD) responses will be discussed throughout the course. The course is recommended for students of the Master’s program who are using or going to use the advanced neuroimaging methodologies.
Learning Objectives
- This course aims at familiarizing students of our program with contemporary neuroimaging methods to study brain activity non-invasively with a particular emphasis on EEG, MEG, fMRI, TMS, tDCS, tACS, and fNIRS. Prior to the seminars, an overview of basic principles and physics of the above-mentioned techniques and methods will be provided. The course is structured such that it will start with the lectures on essentials and basic principles of core methodologies and continues with the advanced topics of the neuroimaging techniques. Biomedical applications of neuroimaging will be discussed throughout the lectures with the particular focus on the brain-machine interfaces which are developed et the HSE at the CDM Centre equipped with the brain-navigated TMS and multichannel EEG.
Expected Learning Outcomes
- After completing the study of the “Neuroimaging Techniques” the student should be aware of the main spectrum of the neuroimaging techniques to non-invasively study the human brain function, understand their basic physical principles, biology, and mathematical computations underlying implementation of each of the core methodologies including functional near-infrared spectroscopy (fNIRS).
- After completing the study of the “Neuroimaging Techniques” the student should: be aware of the main spectrum of the neuroimaging techniques to non-invasively study the human brain function, understand their basic physical principles, biology, and mathematical computations underlying implementation of each of the core methodologies including , transcranial alternating current stimulation (tACS) and direct current stimulation (tDCS)
- After completing the study of the “Neuroimaging Techniques” the student should: be aware of the main spectrum of the neuroimaging techniques to non-invasively study the human brain function, understand their basic physical principles, biology, and mathematical computations underlying implementation of each of the core methodologies including functional magnetic resonance imaging (fMRI).
- After completing the study of the “Neuroimaging Techniques” the student should: be aware of the main spectrum of the neuroimaging techniques to non-invasively study the human brain function, understand their basic physical principles, biology, and mathematical computations underlying implementation of each of the core methodologies including transcranial magnetic stimulation (TMS),
- Students should be aware of the main spectrum of the neuroimaging techniques to non-invasively study the human brain function, understand their basic physical principles, biology, and mathematical computations underlying implementation of each of the core methodologies including electroencephalography (EEG)
- Students should be aware of the main spectrum of the neuroimaging techniques to non-invasively study the human brain function, understand their basic physical principles, biology, and mathematical computations underlying implementation of each of the core methodologies including magnetoencephalography (MEG)
Course Contents
- Essentials of electroencephalography, EEG
- Essentials of functional near-infrared spectroscopy (fNIRS).
- Essentials of magnetoencephalography, MEG
- Essentials of transcranial magnetic stimulation, TMS
- Essentials of functional magnetic resonance tomography (fMRI)
- Essentials of transcranial electical current stimulation, TES
Bibliography
Recommended Core Bibliography
- Everling, S., Gilchrist, I. D., & Liversedge, S. P. (2011). The Oxford Handbook of Eye Movements. Oxford: OUP Oxford. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=467510
- Hari, R., & Puce, A. (2017). MEG-EEG Primer. New York, NY: Oxford University Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=2097017
- Pelletier, S. J., & Cicchetti, F. (2015). Cellular and Molecular Mechanisms of Action of Transcranial Direct Current Stimulation: Evidence from In Vitro and In Vivo Models. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.879C4B68
- Poldrack, R. A., Mumford, J. A., & Nichols, T. E. (2011). Handbook of Functional MRI Data Analysis. New York: Cambridge University Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=399310
Recommended Additional Bibliography
- The Oxford Handbook of Transcranial Stimulation. (2009). American Journal of Electroneurodiagnostic Technology, 49(4), 390–391. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdc&AN=EPTOC47571720