Noninvasive methodologies to study whole brain function (includes MEG, TMS, OI, fMRI)

Anna Shestakova, Alex Ossadtchi, Olga Martynova
Shestakova A., Ossatchi A.
Alex Ossadtchi, Vadim Nikulin, Vasily Klucharev, Dubravko Kicic, Ilkka Nissil?, Simo Vanni, Linda Henriksson, Tatiana Stroganova, Rosalia Bikmullina
Minimal requirements: 
PhD students, master students, interested in neurocognitive studies

Place: Main building of SPbU, Universitetskaya emb. 7/9, Aud 90 - how to find

Methods such as functional magnetic resonance imaging (fMRI), positron emission topography (PET), transcranial magnetic stimulation (TMS), and, very recently, near-infrared spectroscopy (NIRS), also called optical imaging (OI) and diffusion-tensor imaging (DTI), 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. This course aims at familiarizing students of our program with contemporary methods and to study brain activity non-invasively with a particular emphasis on fMRI, multichannel MEEG, as well as TMS (TMS) and NIRS (OI).  Prior the hands-on sessions, an overview of basic principles and physics of the above-mentioned techniques and methods will be provided in the form of short course on methodology of Cognitive Neuroscience. Nature and origin of electric, magnetic, NIRS, and blood-oxygen-level-dependent (BOLD) responses will be discussed throughout the course. The students will start with developing study designs and continue with carrying out experiments, analyzing fMRI and MEEG data. The course will be structured such that it will include 4 parts: MEEG day, TMS&OI day, fMRI day, and data analysis day.

Link to the course web-broadcast 

Contact person: Anna Shestakova, SPbU

Deadline for registration - 1.10.2011  

Course Program

19.10.2011  MEG & EEG

9:00-10:00  A. Shestakova, Introduction to the course

9:30-10:30 D. Kicic, MEG and its place among other imaging modalities

10:30-12:30 A. Ossadtchi, Modern MEG and EEG data analysis techniques: from where to how

Break 12:30-13:30 min

13:30-15:20 V. Nikulin,  Oscillations, evoked responses and cross-frequency interactions

15:30-16:30 V. Nikulin: Long-Range Temporal correlations in EEG/MEG

20.10.2011  TMS & MEG/EEG, Optical Imaging

9:00-10:30 T. A. Stroganova, Clinical Applications of MEEG.

10:30-11:20 D. Kicic, TMS as MEG’s reciprocal and EEG? 

11:30-12:30 Rosalia Bikmullina, Application of magnetism: a transcranial magnetic stimulation

12:30-13:30 break

13:30-14:20 Ilka Nissil?, Optical imaging basic aspects

14:30-15:20 Ilka Nissil?, principles of data analysis


15:30-16:20 General discussion 

21.10.2011  fMRI

9:30-11:00 V. Klucharev Introduction to practical Cognitive  fMRI

11:00-12:00 break

12:00-13:30, Simo Vanni, BOLD signal as a tool to study brain function

13:30-14:15 Linda Henriksson, Basics of fMRI data analysis

14:30-15:15 Simo Vanni, Constructing models which capture brain function and noise

15:15-16:00 Linda Henriksson, Visualization and quantification of the fMRI results

16:00-16:15 Simo Vanni, Introduction to multivariate methods

16:15-16:45 Linda Henriksson, Multivariate pattern analysis of fMRI data

16:45-17:00 General discussion 

22.10.2011 A. Ossadtchi, Hands on training in MEG/EEG data analysis

9:00-9:30 Preprocessing, spatial/temporal filtering, PCA, ICA

9:30-10:00 Forward models

10:00-11:30 Inverse problem: dipoles, tomographic, cortical , beamformers.

11:30-12:30 Statistics: permutation tests, maximum  distribution for multiple comparison     correction

Course language: Russian/English

Learning outcomes: 
Students will be familiarized with contemporary non-invasive methods such as fMRI, multichannel MEEG, EEG and ERPs as well as TMS and NIRS.
SPbU, Institute of the Human Brain Russian Academy of Sciences

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