School: Data Processing in EEG/MEG 2013

Methodological school:

Methods of data processing in EEG and MEG. Applied aspects of magneto-and electroencephalographic neuroimaging

April, 16-30, 2013

Moscow State University of Psychology and Education, Lomonosov Moscow State University

Recently there has been a growing interest of scientists to study the processes taking place in certain areas and between different areas of the brain. The research field of brain connectivity has attracted experts from different specialties. And the methods of electroencephalography (EEG) and magnetoencephalography (MEG) have become the center of attention due to its high temporal resolution.

Our school will consist of lectures and workshops on processing of EEG and MEG data with leading experts in research on the brain connectivity.

As a result of the school, participants will receive the latest knowledge about the methods of the dynamic mapping of brain activity by analysis of multichannel MEG and EEG. Knowledge of modern methods of neuroimaging of the brain allows a wide range of expert biologists, physicians, psychologists, linguists, physicists, and many others to improve their skills as researchers in the field of neuroscience and biomedicine.

School language: English and Russian. Slides in English and Russian.

Teaching methods: lectures, workshops, discussions and review of the literature, and the mastering of mathematical methods and the latest software.

Location: Moscow City University of Psychology and Education (MCUPE), Moscow, Russia

Topics

1. Functional connectivity mapping and real-time MEG data visualization in norm and decease. 

2. BrainStorm as a free tool to analyze MEEG measurements. Practical session.

3. Oscillatory activity and cross-frequency interactions in attention and  cognition studies. 

4. Oscillatory activity and brain-computer interface.

5. The functional role of local and distal synchronization of neuronal networks during cognitive tasks.

6. Theoretical aspects of DCM in application to neural assembly synchrony analysis. Demonstration of SPM software and its applications to analyis of EEG, MEG and fMRI data. 

7.  Phase synchrony of rhythmic activity between cortical regions in humans.

8. Basics of EEG/MEG, source estimation and the benefit of combining EEG and MEG, and the consequences for connectivity analysis.  Basics of connectivity methods

9.  Inferring spatial-temporal networks from event-related MEG data.

Final school program and lectures pdfs

Deadline for registration is 10.03.2013

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