Master
2020/2021
Multidimensional Neuroimaging
Type:
Compulsory course (Cognitive Sciences and Technologies: From Neuron to Cognition)
Area of studies:
Psychology
Delivered by:
School of Psychology
When:
1 year, 3, 4 module
Mode of studies:
offline
Master’s programme:
Cognitive Sciences and Technologies: From Neuron to Cognition
Language:
English
ECTS credits:
4
Contact hours:
56
Course Syllabus
Abstract
The “Neuroimaging Techniques ” course is one of the core introductory courses of the Programme that give and overview of the methodologies currently at place 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 fMRI, MEG, multichannel EEG, TMS, tDCS, tACS, and eye-tracking. Prior to the seminars and/or hands-on sessions on each methodology, 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. World leading experts in the a.m. and other methodologies such as e.g. newly developed ontogenetic or brain-machine interfaces will be invited as well. 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
- 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)
- 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),
- 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 functional near-infrared spectroscopy (fNIRS).
Course Contents
- Essentials of electroencephalography, EEGBiophysics of EEG and basics of EEG signal analysis
- Essentials of functional near-infrared spectroscopy (fNIRS).This topic is devoted to the introduction to functional near-infrared spectroscopy. Basics engineering and biological principles of this methodology are considered here.
- Essentials of magnetoencephalography, MEGBiophysics of MEG and principles of MEG signal analysis
- Essentials of transcranial magnetic stimulation, TMSBiophysics and engineering of TMS methodology, fundamental brain research and clinical applications. Brain-navigated TMS.
- Essentials of functional magnetic resonance tomography (fMRI)Physics, biology, and engineering of fRMI. Principles of fMRI data analysis. SPM approach.
- Essentials of transcranial electical current stimulation, TESBiophyisics of transcranial direct current stimulation, tDCS and transcanial alternating current stimulation, tACS. Fundamental research problems and clinical applications.
Assessment Elements
- MidTermTest1
- MidTermTest2
- Home WorkDepending on the Topic the homework or HWork can be implemented in the a) written form akin assay, b) a matrix ot an image as a result of computational analysis.
- Activity in the class
- Final Exam writtenIf the sum of all except Final exam scores gives the grade higher than 7 - then, the Final exam can be skipped, and the Resulting grade will be equal to sum of all except Final exam scores. Экзамен проводится в письменной форме без использования прокторинга на платформе https://www.classmarker.com. К экзамену необходимо подключиться за 10 минут до начала. Компьютер студента должен удовлетворять следующим требованиям: (https://elearning.hse.ru/data/2020/05/07/1544135594/Технические%20требования%20к%20ПК%20студента.pdf) Для участия в экзамене студент обязан включить камеру и микрофон, авторизоваться с использованием имени и фамилии, провести тест системы, подтвердить личность. Во время экзамена студентам запрещено: общаться (в социальных сетях, с людьми в комнате), списывать. Кратковременным нарушением связи во время экзамена считается прерывание связи до 10 минут. Долговременным нарушением связи во время экзамена считается прерывание связи 10 минут и более.
Interim Assessment
- Interim assessment (4 module)0.14 * Activity in the class + 0.3 * Final Exam written + 0.14 * Home Work + 0.21 * MidTermTest1 + 0.21 * MidTermTest2
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