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DTSTART:20240331T030000
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DTSTART:20241027T020000
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DTSTAMP:20260404T091152Z
UID:66d815c7953db503583456@ist.ac.at
DTSTART:20240924T123000
DTEND:20240924T133000
DESCRIPTION:Speaker: David Kastner\nhosted by Tim Vogels\nAbstract: Animal 
 behavior contains rich structure across many timescales\, but there is a d
 earth of methods for the identification of relevant long run behavioral co
 mponents. Inspired by the goals and techniques of genome-wide association 
 studies\, I will present our development of a data-driven method—the cho
 ice-wide behavioral association study: CBAS—that systematically identifi
 es such behavioral features. CBAS breaks down the actions of subjects into
  all sequences of choices during behavior\, then uses powerful\, resamplin
 g-based\, multiple comparisons methods to identify the sequences that eith
 er differ significantly between groups or significantly correlate with a c
 ovariate of interest. CBAS works across different tasks and species (flies
 \, rats\, and humans). I will focus on our application of CBAS to compare 
 WT rats to those haploinsufficient for a high-confidence\, large effect\, 
 autism spectrum disorder risk gene (Scn2a+/-). CBAS identifies specific an
 d consistent ways that Scn2a haploinsufficient rats differ in learning a
  spatial alternation task\, and CBAS shows that Scn2a+/- rats differenti
 ally rely on their hippocampus for behavior. Through identifying relevant 
 choices during behavior\, CBAS provides a uniquely informative framework t
 o interpret neural function and its changes in the context of disease proc
 esses.
LOCATION:Office Bldg West / Ground floor / Heinzel Seminar Room (I21.EG.101
 )\, ISTA
ORGANIZER:jdeanton@ist.ac.at
SUMMARY:David Kastner: Leveraging rich behavioral phenotyping to identify i
 nformation processing changes due to a high-risk ASD gene
URL:https://talks-calendar.ista.ac.at/events/5213
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