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Prospectus | 08/09 - Psychology and Neuroscience - Maastricht ...

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Chapter 2 - Specialization Cognitive <strong>Neuroscience</strong><br />

the future become a powerful therapeutic tool to help treating diseases like depression<br />

or schizophrenia.<br />

Literature<br />

Journal articles in the form of electronic readers on EleUM.<br />

Instructional Approach<br />

Tutorial group meetings <strong>and</strong> presentations. The presentations will be given by the<br />

students. Prior to each meeting students are assigned to different topics <strong>and</strong> prepare a<br />

short introductory lecture. After this, a classical PBL tutorial meeting follows with the<br />

assigned student acting as discussion leader.<br />

27<br />

Form of Assessment<br />

30% of the final assessment will be based on the lecture <strong>and</strong> presentation<br />

performance; 70% on a written final exam with open questions. The exam will cover all<br />

topics <strong>and</strong> literature discussed during the course.<br />

| 417CN Tracking the Time-Course of Cortical Processing Using MEG <strong>and</strong> EEG<br />

– 3 credits<br />

Coordinator: Milene Bonte, Cognitive <strong>Neuroscience</strong> (FPN), Phone 38 84036,<br />

40 Universiteitssingel East, Room 4.777, E-mail: m.bonte@psychology.unimaas.nl<br />

Description of the Course<br />

Cognitive neuroscientists nowadays have the choice to use a range of different<br />

imaging methods to investigate human brain functions. Each of these methods<br />

has its own strengths <strong>and</strong> limitations, which have to be taken into account when<br />

investigating a particular research question. Both magnetoencephalography (MEG) <strong>and</strong><br />

electroencephalography (EEG) have been important in characterizing the time course<br />

of neural systems involved in different aspects of perceptual <strong>and</strong> cognitive processes<br />

including those related to auditory <strong>and</strong> visual perception, attention, language, memory<br />

<strong>and</strong> development. MEG <strong>and</strong> EEG reflect complementary aspects of brain activity with<br />

an advantage of MEG over EEG in the localisation of underlying neural sources.<br />

This course intends to provide detailed knowledge on MEG <strong>and</strong> EEG that have<br />

clear advantage over the other methods in terms of temporal resolution. We will<br />

combine practical experience in designing MEG/EEG experiments, MEG/EEG data<br />

acquisition, <strong>and</strong> data analysis with detailed literature discussions on theoretical <strong>and</strong><br />

methodological issues in MEG/EEG research. Inspired by different types of experimental<br />

questions we will discuss a range of available methods for advanced EEG/MEG<br />

analysis, including analysis in the time <strong>and</strong> frequency domains, source localization,<br />

the combination of EEG/MEG <strong>and</strong> fMRI data, independent component analysis <strong>and</strong><br />

dynamic imaging of coherent sources.

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