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<p class="MsoNormal"><span style="font-size:11.0pt">The next BIC's students and Postdocs' seminar will take place at 11:30 AM on Monday, June 2, 2025, in the Grandpre auditorium.<o:p></o:p></span></p>
<p class="MsoNormal"><b><span style="color:blue">Pizza and light drinks will be served at 12:30 PM.<o:p></o:p></span></b></p>
<p class="MsoNormal"><span style="font-size:11.0pt">There will be two cutting-edge neuroimaging talks, each followed by Qs, As, and discussion.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">Please register here:<o:p></o:p></span></p>
<p class="MsoNormal"><a href="https://www.surveymonkey.com/r/HZ9DPV8"><span style="font-size:11.0pt">https://www.surveymonkey.com/r/HZ9DPV8</span></a><span style="font-size:11.0pt"><o:p></o:p></span></p>
<p class="MsoNormal"><b><span style="color:blue">Ziqi Hao; PI, Amir Shmuel<o:p></o:p></span></b></p>
<p class="MsoNormal"><b><span style="color:blue">Title: <o:p></o:p></span></b></p>
<p class="MsoNormal"><b><span style="color:blue">“High-resolution diffusion-MRI-based tractography of U-fibers using a conventional 3 Tesla scanner”<o:p></o:p></span></b></p>
<p class="MsoNormal"><b><span style="color:blue">Summary:</span></b> In this talk, I will demonstrate that short axonal bundles can be imaged reliably using a 3 Tesla Prisma scanner with a conventional gradient system. I will also demonstrate improvements to
the ‘TractoFlow’ pipelines to support high-resolution dMRI. <span style="font-size:11.0pt">
<o:p></o:p></span></p>
<p class="MsoNormal"><b><span style="color:blue"><o:p> </o:p></span></b></p>
<p class="MsoNormal"><b><span lang="DE" style="color:blue">Le Zhou; PI, Danilo Bzdok<o:p></o:p></span></b></p>
<p class="MsoNormal"><b><span style="color:blue">Title: <o:p></o:p></span></b></p>
<p class="MsoNormal"><b><span style="color:blue">“On night owls and early birds: insights from multimodal population studies”<o:p></o:p></span></b></p>
<p class="MsoNormal"><b><span style="color:blue">Summary:</span></b><span lang="EN-CA"> Chronotype is shaped by a complex interplay of endogenous and exogenous factors, varies across lifespan, and is linked to health risks. Moving beyond uniform classifications,
we identified five distinct chronotype subtypes using multimodal brain imaging and deep phenotyping in 27,030 UK biobank adults. Each subtype showed unique brain-behavior-health patterns, validated in 10,550 US children with reversed age effects. These findings
reveal previously overlooked population variation in biological clocks, with implications spanning from childhood to adulthood.<o:p></o:p></span></p>
<p class="xmsonormal"><span lang="EN-CA" style="font-size:11.0pt"><o:p> </o:p></span></p>
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