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<div><span>Dear all,</span></div>
<div>
<p class="MsoNormal"><span lang="EN-US">this is an update
following the announcement of the online workshop THE
PREDICTIVE ROLE OF CONNECTED DYNAMICAL SYSTEMS that will take
place on Jan 20<sup>th</sup> from 11:00 to 16:00 CET .</span></p>
<p class="MsoNormal"><span lang="EN-US">We now provide the
detailed program of the scheduled talks.</span></p>
<p class="MsoNormal"><b><span lang="EN-US">IMPORTANT: PLEASE BE
AWARE THAT THE DEADLINE FOR THE REGISTRATION IS JANUARY 19<sup>TH</sup> AT
1:00 PM (CET)</span></b></p>
<p><br>
</p>
<p>📅 January 20, 2026 | 🌍 Online | </p>
<p>📌 Registration (closes on Jan 19th at 1 pm(CET)) : </p>
<p>Free and open to all at the <span
style="font-size:11.0pt;line-height:107%;
font-family:"Calibri",sans-serif;mso-ascii-theme-font:minor-latin;mso-fareast-font-family:
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mso-ansi-language:EN-GB;mso-fareast-language:EN-US;mso-bidi-language:AR-SA">link
<a href="https://www.pspweb.it/workshop/workshop-20-january/"
class="moz-txt-link-freetext">https://www.pspweb.it/workshop/workshop-20-january/</a><br>
</span></p>
<p><br>
<span
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<div dir="auto">TOPICS: The dynamics of MEG large-scale brain
connectivity and their predictive power. </div>
<div dir="auto"> </div>
<div><br>
</div>
<div dir="auto"><b>Why Attend? </b></div>
<div dir="auto"><br>
</div>
<div dir="auto">Understanding how brain networks dynamically
interact is key to unlocking the mechanisms of large-scale
communication and behavior. While normative functional
connectomes are now robust, widely available, and impactful
across clinical and scientific domains, critical questions
remain open: </div>
<div dir="auto"><br>
</div>
<div dir="auto">• What is the functional meaning of spectral and
temporal dynamics in resting-state connectomes? </div>
<div dir="auto"><br>
</div>
<div dir="auto">• Which mechanisms give rise to these dynamics? </div>
<div dir="auto"><br>
</div>
<div dir="auto">• How can individual dynamical features be
leveraged to predict behavior? </div>
<div dir="auto"><br>
</div>
<div dir="auto">This workshop will tackle these questions head-on.
</div>
<div dir="auto"><br>
</div>
<div dir="auto"> </div>
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<div dir="auto"><br>
</div>
<div><b>Workshop Focus </b></div>
<div dir="auto"><br>
</div>
<div dir="auto">Through cutting-edge methods and real-world
applications, the workshop will explore how rich information
can be extracted from brain connected dynamical systems,
including: </div>
<div dir="auto">• Advanced tools for analyzing large-scale
brain dynamics </div>
<div dir="auto">• Mechanisms underlying specific dynamical
patterns </div>
<div dir="auto">• Individual-level dynamical features and
their predictive relevance </div>
<div dir="auto">By bringing together leading experts in
methodology and applications, the workshop will offer a
multifaceted perspective on this rapidly evolving field and
foster meaningful scientific exchange and collaboration. </div>
<div dir="auto"><br>
</div>
<div dir="auto">A Truly Multidisciplinary Experience </div>
<div dir="auto">The talks span disciplines—from computational
neuroscience and physics to clinical and cognitive
applications—creating a fertile ground for lively
discussion, cross-pollination of ideas, and new
collaboration </div>
<div dir="auto"><br>
</div>
<br>
</div>
</div>
<p class="MsoNormal"><span lang="IT" style="mso-ansi-language:IT">ORGANIZERS</span></p>
<p class="MsoNormal"><span lang="IT" style="mso-ansi-language:IT">Stefania
Della Penna (University G. d’Annunzio of Chieti-Pescara)</span></p>
<p class="MsoNormal"><span lang="IT" style="mso-ansi-language:IT">Francesco
de Pasquale (University of Teramo)</span></p>
<p class="MsoNormal"><br>
</p>
</div>
<p><br>
</p>
<pre class="moz-signature" cols="72">--
Stefania Della Penna
Full Professor of Applied Physics (Cultural Heritage, Environment, Biology, Medicine)
Institute for Advanced Biomedical Technologies and
Department of Neuroscience, Imaging and Clinical Sciences
University of Chieti-Pescara "G. d'Annunzio"
Via dei Vestini - Campus Universitario
66013 Chieti - ITALY
ph: +39-0871-3556937
fax:+39-0871-3556930</pre>
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