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<p class="MsoNormal"><span lang="EN-US" style="font-size:11.0pt;line-height:150%;
font-family:"Helvetica",sans-serif;mso-ansi-language:EN-US">Dear members of the list,<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:11.0pt;line-height:150%;
font-family:"Helvetica",sans-serif;mso-ansi-language:EN-US">We are pleased to inform you that we are hosting a Research Topic entitled “<a href="https://www.frontiersin.org/research-topics/34359/chasing-brain-dynamics-at-their-speed-what-can-time-varying-functional-connectivity-tell-us-about-br">Chasing
Brain Dynamics at Their Speed: What Can Time-Varying Functional Connectivity Tell Us About Brain Function?</a>” In
<a href="https://www.frontiersin.org/journals/neuroscience/sections/brain-imaging-methods">
Frontiers in Neuroscience/Brain Imaging Methods</a> and <a href="https://www.frontiersin.org/journals/neuroimaging/sections/brain-imaging-methods">
Frontiers in Neuroimaging/Brain Imaging Methods</a>.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:11.0pt;line-height:150%;
font-family:"Helvetica",sans-serif;mso-ansi-language:EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:11.0pt;line-height:150%;
font-family:"Helvetica",sans-serif;mso-ansi-language:EN-US">As you can see from the description below, we welcome theoretical, methodological, and empirical work with different
imaging techniques. <br>
Please consider contributing to the Research Topic and spread the word.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-size:11.0pt;line-height:150%;
font-family:"Helvetica",sans-serif;mso-ansi-language:EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span lang="EN-US" style="font-size:11.0pt;line-height:
150%;font-family:"Helvetica",sans-serif;mso-ansi-language:EN-US">Description:<o:p></o:p></span></b></p>
<p class="MsoNormal"><span lang="RU" style="font-size:11.0pt;line-height:150%;
font-family:"Helvetica",sans-serif">In the last decade, the rising field of network neuroscience has opened new perspectives on the study of the brain and its function. This</span><span lang="RU" style="font-size:11.0pt;line-height:
150%;font-family:"Helv",sans-serif">
has been accompanied by the exponential growth of connectivity algorithms and methods designed to capture the intrinsic dynamics of the human brain at rest and during active tasks. A new research avenue foresees the final understanding of the brain as a time-varying
network that flexibly evolves in support of a vast repertoire of functions.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="RU" style="font-size:11.0pt;line-height:150%;
font-family:"Helv",sans-serif"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="RU" style="font-size:11.0pt;line-height:150%;
font-family:"Helv",sans-serif">But how far are we from this understanding? Brain function is extremely fast and distributed: in a few hundreds of milliseconds, we are capable of
recognizing a complex image, recalling its content from our memories, and performing the proper action. Human perception, cognition, and behavior emerge from coordinated activity in large-scale brain networks that evolve at the sub-second time scale. Despite
marked advances in the field, modeling whole-brain dynamics with the necessary resolution remains a major challenge.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="RU" style="font-size:11.0pt;line-height:150%;
font-family:"Helv",sans-serif"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="RU" style="font-size:11.0pt;line-height:150%;
font-family:"Helv",sans-serif">In the present Research Topic, we invite work promoting theoretical, methodological, and empirical advances in the study of dynamic (time-varying)
functional and causal connectivity.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="RU" style="font-size:11.0pt;line-height:150%;
font-family:"Helv",sans-serif"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="RU" style="font-size:11.0pt;line-height:150%;
font-family:"Helv",sans-serif">In particular, we welcome:<o:p></o:p></span></p>
<ol nodeid="1">
<li><span lang="RU" style="font-size:11.0pt;line-height:150%;font-family:"Helv",sans-serif">theoretical work on the interpretative meaning of the available connectivity metrics and the general</span><span lang="RU" style="font-size:11.0pt;line-height:150%;
font-family:"Helv",sans-serif;mso-ansi-language:EN-US">
</span><span lang="RU" style="font-size:11.0pt;line-height:150%;font-family:"Helv",sans-serif">notions of causality, emergence, and functional relations in the study of brain networks;<o:p></o:p></span></li><li><span lang="RU" style="font-size:11.0pt;line-height:150%;font-family:"Helv",sans-serif">studies reviewing and comparing existing methods, with critical emphasis on the advantages and limitations;<o:p></o:p></span></li><li><span lang="RU" style="font-size:11.0pt;line-height:150%;font-family:"Helv",sans-serif">empirical work exploiting high-temporal resolution electrophysiology and magneto/electroencephalography recordings (M/EEG) with cutting-edge approaches to characterize
neural network dynamics at rest and during perceptual and cognitive tasks;<o:p></o:p></span></li><li><span lang="RU" style="font-size:11.0pt;line-height:150%;font-family:"Helv",sans-serif">work using techniques other than electrophysiology (e.g., functional magnetic resonance imaging, computational modeling) to characterize time-varying networks in relation
to specific brain function.<o:p></o:p></span></li></ol>
<p class="MsoNormal"><span lang="RU" style="font-size:11.0pt;line-height:150%;
font-family:"Helv",sans-serif"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="RU" style="font-size:11.0pt;line-height:150%;
font-family:"Helv",sans-serif">We encourage authors of empirical or methodological works to share their processed data and code to guarantee the reproducibility of their findings
and the availability of new methods.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="RU" style="font-size:11.0pt;line-height:150%;
font-family:"Helv",sans-serif"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="RU" style="font-size:11.0pt;line-height:150%;
font-family:"Helv",sans-serif">We expect that the works collected in this Research Topic will provide new fundamental insights and rigorous tools for the emerging field of time-varying
brain network analysis and its application in the study of human perception, cognition, and behavior.</span><span lang="RU" style="font-size:11.0pt;line-height:150%;font-family:"Calibri",sans-serif;
mso-ascii-theme-font:minor-latin;mso-hansi-theme-font:minor-latin;mso-bidi-font-family:
"Times New Roman""><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="RU" style="font-size:11.0pt;line-height:150%;
font-family:"Calibri",sans-serif;mso-ascii-theme-font:minor-latin;mso-hansi-theme-font:
minor-latin;mso-bidi-font-family:"Times New Roman""><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="FR" style="font-size:11.0pt;line-height:150%;
font-family:"Helvetica",sans-serif;mso-ansi-language:FR">Contact:
<a href="mailto:david.pascucci@epfl.ch">david.pascucci@epfl.ch</a>; </span><span style="font-size:11.0pt;line-height:150%;font-family:"Helvetica",sans-serif;
mso-ansi-language:IT-CH"><a href="mailto:maria.rubega@unipd.it"><span lang="FR" style="mso-ansi-language:FR">maria.rubega@unipd.it</span></a></span><span lang="FR" style="font-size:11.0pt;line-height:150%;font-family:"Helvetica",sans-serif;
mso-ansi-language:FR">;
<a href="mailto:silviafrancesca.storti@univr.it">silviafrancesca.storti@univr.it</a><o:p></o:p></span></p>
<br>
<p></p>
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<span style="background-color:rgb(255,255,255); color:rgb(117,123,128)"></span><span style="background-color:rgb(255,255,255); color:rgb(117,123,128)">David Pascucci</span>
<div><i><span style="background-color:rgb(255,255,255); color:rgb(117,123,128)">Scientific Collaborator, Psychophysics Laboratory</span></i>
<div><i><span style="background-color:rgb(190,190,190)"><span style="color:rgb(117,123,128); background-color:rgb(255,255,255)">EPFL SV BMI LPSY</span><span style="background-color:rgb(255,255,255)"><span style="color:rgb(117,123,128); background-color:rgb(255,255,255)"></span><span style="color:rgb(117,123,128); background-color:rgb(255,255,255)"></span></span></span><br style="">
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</i><span style="background-color:rgb(255,255,255); color:rgb(117,123,128)"><i>CH-1015 Lausanne</i></span><br>
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