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<p>Dear all,</p>
<p>We woul like to remind you about the following workshop at the
CNS conference in Antwerp:
<a class="moz-txt-link-freetext" href="https://matthieugilson.eu/workshop_CNS2017.html">https://matthieugilson.eu/workshop_CNS2017.html</a><br>
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<p>Best regards,</p>
<p>Matthieu Gilson and Tim van Hartevelt</p>
<p>--------------------------------<br>
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<p><br>
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<h3>Fingerprints of brain dynamics estimated from neuroimaging data
and application to discrimination between individuals, tasks
and/or conditions</h3>
<p> <a href="http://www.cnsorg.org/cns-2017">CNS 2017 in Antwerp
(Belgium)</a> <br>
19 July 2017 </p>
<br>
<p style="text-align: justify"> The functioning of the brain relies
on detailed interactions between specialised neuronal subsystems,
implementing joint segregation and integration of information such
as sensory stimuli, memory tokens and intentions. Nowadays,
neuroimaging techniques (fMRI, EEG, MEG, etc.) provide indirect
measurements of the neuronal activity at the whole-brain level.
Recent efforts have focused on extracting fingerprints of the
measured brain dynamics to discriminate between tasks, conditions
(e.g., sleep vs. awake) or individuals. For example, given a
dynamic network model, whole-brain effective connectivity
describes the interaction scheme between regions for each
condition, which can be quantitatively compared. The goal of this
workshop is to review both data-analysis methods and model-based
approaches that have attacked this problem. </p>
<br>
<p>Schedule:</p>
<ul>
<li><b>9.00am:</b> presentation of the workshop (Matthieu and Tim)</li>
<li><b>9.15am:</b> Tim van Hartevelt (Oxford U, UK) replacing
Henrique Fernandes (U Aarhus, Denmark):<br>
Brain fingerprints of structural connectivity in health and
disease.</li>
<li><b>9.45am:</b> Dante Mantini (KU Leuven, Belgium):<br>
Detecting large-scale brain networks using high-density
electroencephalography</li>
<li><b>10.15am:</b> coffee break (45 min)</li>
<li><b>11.00am:</b> Demian Battaglia (INSERM, Marseille, France):<br>
Functional connectivity dynamics descriptors as fingerprints of
cognitive aging</li>
<li><b>11.30am:</b> Emily Finn (NIMH, Bethesda, USA):<br>
Can we manipulate brain state to emphasize individual
differences in functional connectivity?</li>
<li><b>12.00pm:</b> lunch</li>
<li><b>2.00pm:</b> Joana Cabral (Oxford U, UK):<br>
Spontaneous switching between states of functional connectivity
relates to cognitive performance in healthy older adults</li>
<li><b>2.30pm:</b> Thomas Bolton (EPFL, Lausanne, Switzerland):<br>
Shedding light on resting-state dynamic functional network
interactions by sparse coupled hidden Markov models</li>
<li><b>3.00pm:</b> Karl Friston (UCL, London, UK):<br>
Dynamic causal modelling and network discovery</li>
<li><b>3.30pm:</b> coffee break (30 min)</li>
<li><b>4.00am:</b> Anish Mitra (U Washington, St Louis, USA):<br>
Structured temporal sequences in spontaneous human brain
activity</li>
<li><b>4.30pm:</b> Vicente Pallares (U Pompeu Fabra, Barcelona,
Spain):<br>
Whole-brain effective connectivity from fMRI resting-state data
discriminates between individuals</li>
<li><b>5.00pm</b> concluding remarks</li>
</ul>
<p><br>
</p>
<pre class="moz-signature" cols="72">--
Matthieu Gilson
Universitat Pompeu Fabra, Barcelona, Spain</pre>
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