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UID:20260701T225729EDT-06881xVVov@132.216.98.100
DTSTAMP:20260702T025729Z
DESCRIPTION:Abstract: A growing chorus of voices—including the DSM-5 task f
 orce and\n	the NIMH—has raised concerns about the validity and reliability 
 of the\n	phenotype Major Depressive Disorder (MDD). Efforts to develop biol
 ogical\n	tests have largely failed\, and few would argue that the field has
  made\n	considerable advances in the treatment of patients with depression 
 in the last\n	3-4 decades.\n	In this talk\, Eiko Fried will discuss why majo
 r depression is a highly\n	problematic phenotype\, and show that studying i
 ndividual depression\n	symptoms and their dynamic relations via network mod
 els can offer ways\n	forward. He will introduce two classes of network mode
 ls: between-subjects\n	models for cross-sectional data\, and network models
  for time-series data that\n	can estimate dynamic relations of variables ov
 er time on both idiographic and\n	nomothetic levels.\n
DTSTART:20190823T150000Z
DTEND:20190823T160000Z
LOCATION:Room 735\, CA\, QC\, Montréal\, 2001 Ave 91ºÚÁÏÍø College
SUMMARY:Depression symptomics: Studying individual depression symptoms and 
 their dynamic relations in network models with Eiko Fried\, PhD
URL:/psychiatry/channels/event/depression-symptomics-s
 tudying-individual-depression-symptoms-and-their-dynamic-relations-network
 -298998
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