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SUMMARY:Decomposing heterogeneity in the AUTISMS - Mike Lombardo\, Istitut
 o Italiano di Tecnologia
DTSTART:20250618T103000Z
DTEND:20250618T113000Z
UID:TALK233503@talks.cam.ac.uk
CONTACT:Simon Braschi
DESCRIPTION:Autism is behavioral consensus diagnostic label based on early
  difficulties in social-communication and restricted repetitive behaviors 
 domains. However\, the singular nature of the label of ‘autism’ masks 
 a large degree of multi-scale heterogeneity within the spectrum and does n
 ot equitably balance differing perspectives within autism research. In thi
 s talk\, I will discuss a new research-oriented framework that proposes a 
 first-level split of autism into a type I versus type II distinction based
  on non-core language\, intellectual\, motor\, and adaptive functioning fe
 atures in early development. These subtypes are identifiable in a highly r
 eplicable manner with data-driven machine learning techniques and take ver
 y different developmental paths leading to highly differentiated later-lif
 e outcomes. Neuroimaging and gene expression data point towards differenti
 al biological mechanisms between the subtypes that likely begin in early p
 renatal development and relate to neurogenesis and cortical patterning. Fi
 nally\, trajectories through early behavioral intervention also differ bet
 ween these subtypes. In summary\, the proposed research-oriented stratific
 ation framework presented in this talk will help balance differing perspec
 tives and facilitate a more precise and individualized understanding of bi
 ology\, outcomes\, and responses to intervention in the autisms.
LOCATION:https://us02web.zoom.us/j/87076030035?pwd=XUpJuh8jiR0mae1AhkV79qb
 g8MtlSM.1
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