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VERSION:2.0
CALSCALE:GREGORIAN
PRODID:UW-Madison-Physics-Events
BEGIN:VEVENT
SEQUENCE:0
UID:UW-Physics-Event-4894
DTSTART:20181023T170500Z
DTEND:20181023T180000Z
DTSTAMP:20260419T054858Z
LAST-MODIFIED:20180911T192208Z
LOCATION:4274 Chamberlin (Refreshments will be served)
SUMMARY:The dynamics of mood in bipolar disorder\, Chaos & Complex Sys
 tems Seminar\, Amy Cochran\, UW Departments of Biostatistics & Medical
  Informatics
DESCRIPTION:Bipolar disorder is a chronic disease of severe mood fluct
 uation. Longitudinal patterns are central to any patient description\,
  but are condensed into simple attributes and categories. Although the
 se provide a common language for clinicians\, they are not supported b
 y empirical evidence.  In this talk\, I will discuss modeling framewor
 ks for providing patient-level descriptions of longitudinal patterns. 
 Since these frameworks often represent competing hypotheses\, e.g. moo
 d is periodic or mood has distinct 'states'\, I will focus on a key qu
 estion: how to differentiate between models when only time courses of 
 mood are available? Through statistical analysis\, we settle on the id
 ea that BP could arise from an inability for mood to quickly return to
  normal when perturbed and present a model to embody this idea that ca
 n be personalized to individual with bipolar disorder. I will conclude
  by discussing next steps for translating this work into clinical care
 .
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URL:https://www.physics.wisc.edu/events/?id=4894
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