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Job Offer: Simultaneous EEG and fMRI of neurofeedback

Posted: 26 Nov 2012, 08:24
by danK
We are seeking a motivated candidate to support the experimatal set-up, data acquistion and data analysis. The primary objective is to develop a protocol to effectively train electroencephalography (EEG) coherence between specific areas in the brain during the simultaneous recording of functional magnetic resonance imaging (fMRI) protocols.
The simultaneous recording and analysis of EEG and fMRI allows to non-invasively gain new insights into brain function. Unlike the post-hoc comparison of different research methods, simultaneous measurements of EEG and fMRI offer the possibility to obtain brain functional data during the same sensory stimulation in EEG and fMRI. The two methods are complementary with respect to the temporal and spatial resolution. The results of previous studies about simultaneous EEG-fMRI indicate that EEG neurofeedback is technically feasible with an appropriate EEG data quality. Additionally, simultaneous functional connectivity MRI (fcMRI) and EEG recordings will provide new insights into the relationship between fcMRI- and associated EEG networks. The change of EEG signals through neurofeedback could lead to an immediate change in fcMRI as specific EEG frequency bands correlate with the fcMRI. Accordingly, the modulation of the EEG by neurofeedback may show a direct influence on the fcMRI. Studies will include simultaneous measurements of fcMRI and EEG with healthy volunteers and offer the opportunity to gain experience in a wide range of methodologies.
In our lab we have two BrainAmp MR 32 channles amplifiers (Brain Products) and we succesfully use online correction of MR artifacts. Using this approach, we are able to give feedback to the subjects regarding their own EEG with a time delay of about 1s. We will use BCI2000 combined with Fieldtrip. Experience with BCI 2000 and/or Fieldtrip would be advantageous. Candidates should be well versed with MATLAB and should have at least basic knowledge in C#/C++. The MRi data is acquired using a 3T Siemens MR scanner.

The successful applicant will have a strong interest in the research topic and will be capable of working independently. The research fellow will additionally have a master degree (or diploma) in biomedical engineering, neuroscience, informatics or psychology. Experience with fMRI and/or EEG are beneficial. The initial appointment term will be one year, starting January 2013. Salary is according to TV-L 13.
Further extensions will depend on availability of funds.

Please send an application letter including a brief statement outlining your motivation to apply for this particular position and a Curriculum vitae (CV) to:

Daniel.keeser@med.uni-muenchen.de
Institute for Clinical Radiology, Ludwig-Maximilians-University, 81377 Munich, Germany.
Department of Psychiatry and Psychotherapy, Ludwig-Maximilians University, 80333 Munich, Germany.