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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
X-WR-CALNAME:Seminar: Imaging Science and Engineering: Prof. Muriah D. Whee
 lock
X-WR-TIMEZONE:Central Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260615T084944Z
UID:tag:localist.com\,2008:EventInstance_44640064892256
DTSTART:20231027T133000Z
DTEND:20231027T143000Z
DESCRIPTION:Network level analysis for connectome-wide association studies:
  applications in the developing brain\n\nAbstract: Cutting-edge brain conn
 ectivity mapping techniques\, including diffusion and functional MRI\, in 
 combination with NIH-funded initiatives such as the Human Connectome Proje
 ct and NIH Toolbox\, have accelerated production of large\, highly valuabl
 e datasets that combine rich neuroimaging and behavioral assessments. As t
 hese datasets are established\, innovative analysis approaches are require
 d to delineate reliable links between variability in brain connectivity (i
 .e.\, the connectome) and behavior (e.g.\, measures of cognition\, develop
 mental changes\, and disease). Current analytic methods often employ highl
 y stringent false positive rate (FPR) corrections that yield sparse\, scat
 tered brain-behavior associations\, challenging biological interpretation 
 and reproducibility. The Wheelock lab develops statistical software to ana
 lyze connectome-wide associations while controlling the FPR by leveraging 
 the inherent systems level organization of brain networks. However\, chall
 enges remain for defining these systems in early childhood (i.e.\, less th
 an 3 years of age). Ongoing research in the lab seeks to benchmark reprodu
 cibility and determine best approaches for determining connectome-wide ass
 ociations with clinical outcomes in early development.
GEO:38.648794;-90.30145
LOCATION:Preston M. Green Hall\, Rodin Auditorium\, L0120
SUMMARY:Seminar: Imaging Science and Engineering: Prof. Muriah D. Wheelock
URL;VALUE=URI:https://happenings.washu.edu/event/seminar_imaging_science_an
 d_engineering_prof_muriah_d_wheelock
CATEGORIES:Seminar/Colloquia
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