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<p class=MsoNormal><span lang=EN-US>POSTDOC POSITION in Marseille, France, in </span><span
lang=EN-CA>EEG-fMRI recordings, EEG signal processing, fMRI analysis.</span><span
lang=EN-US><o:p></o:p></span></p>
<p class=MsoNormal>Project funded by Agence Nationale de la Recherche<o:p></o:p></p>
<p class=MsoNormal><o:p> </o:p></p>
<p class=MsoNormal><span lang=EN-CA>Topic. Measurement of functional
connectivity in simultaneous EEG-fMRI recordings <o:p></o:p></span></p>
<p class=MsoNormal><span lang=EN-CA><o:p> </o:p></span></p>
<p class=MsoNormal><span lang=EN-CA>Context. There is a growing interest in
non-invasive measurements of functional connectivity in the human brain, based
on functional magnetic resonance imaging (fMRI) or high-resolution EEG. Still,
there is no consensus on the best methodology to use, and on the concordance or
discrepancy between modalities. Also, these measures have been performed on
separate recordings, even though it is now possible to perform simultaneous
EEG-fMRI recordings. The simultaneous recordings have the great advantage to
permit to compare the modalities in the exact same brain state, in particular
in terms of habituation, learning and vigilance. Moreover, the simultaneous EEG
recordings permit (i) to track fluctuations in brain response or state, and
(ii) obtain a marker of spontaneous activity such as alpha waves or epileptic
discharges, which brings additional information for the fMRI analysis.<o:p></o:p></span></p>
<p class=MsoNormal><span lang=EN-CA><o:p> </o:p></span></p>
<p class=MsoNormal><span lang=EN-CA>We propose a postdoc position for 18 months
to use simultaneous recordings in epileptic patients for computing connectivity
both in EEG and fMRI (3T Verio Siemens scanner devoted to research), in a face
recognition paradigm, with emphasis on the ventral stream connectivity. We will
use intracerebral EEG recordings in epileptic patients in order to validate the
non-invasive results and to better understand the links between
electrophysiology and fMRI signals.<o:p></o:p></span></p>
<p class=MsoNormal><span lang=EN-CA>Salary : 1800 Euros net per month for 18
months.<o:p></o:p></span></p>
<p class=MsoNormal><span lang=EN-CA>Skills. EEG-fMRI recordings, EEG signal
processing, fMRI analysis<o:p></o:p></span></p>
<p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p>
<p class=MsoNormal>Participants and contacts<o:p></o:p></p>
<p class=MsoNormal>Christian Bénar, Laboratoire épilepsie et cognition, INSERM
U751, Marseille <br>
<a href="mailto:christian.benar@univmed.fr">christian.benar@univmed.fr</a><o:p></o:p></p>
<p class=MsoNormal>Catherine Liegeois-Chauvel, Laboratoire épilepsie et
cognition, INSERM U751, Marseille <a
href="mailto:catherine.liegeois-chauvel@univmed.fr">catherine.liegeois-chauvel@univmed.fr</a><o:p></o:p></p>
<p class=MsoNormal><span lang=EN-CA>Maxime Guye, CRMBM, UMR CNRS 6612 </span><a
href="mailto:maxime.guye@mail.ap-hm.fr"><span lang=EN-CA>maxime.guye@mail.ap-hm.fr</span></a><span
lang=EN-CA><o:p></o:p></span></p>
<p class=MsoNormal>Jean-Philippe Ranjeva, CRMBM, UMR CNRS 6612 <a
href="mailto:jp.ranjeva@univmed.fr">jp.ranjeva@univmed.fr</a><o:p></o:p></p>
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