BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Translational Neuromodeling for Psychiatry - Klaas Enno Stephan\, 
 Translational Neuromodeling Unit\, University of Zurich &amp\; ETH Zurich\
 , and the Wellcome Trust Centre for Neuroimaging\, London
DTSTART:20120124T110000Z
DTEND:20120124T120000Z
UID:TALK37476@talks.cam.ac.uk
CONTACT:Mikail Rubinov
DESCRIPTION:So far\, we lack diagnostic tests for non-invasive identificat
 ion of subject-specific pathophysiological pathways in psychiatric spectru
 m diseases.  As a consequence\, we are presently neither able to obtain me
 chanistically interpretable diagnoses for individual patients nor to make 
 principled predictions about individualized treatment.  Here\, I propose a
  neurocomputational framework as a promising approach to address this crit
 ical problem for psychiatry.  This framework – translational neuromodeli
 ng – combines physiologically interpretable dynamic system models with c
 omputational (Bayesian) models that are fitted to neuroimaging and behavio
 ral data to provide estimates of pathophysiological mechanisms at the circ
 uit and synaptic level.  Subsequently\, such model-based quantitative char
 acterizations of “hidden” neuronal disease mechanisms can be exploited
  by machine learning techniques (e.g.\, Bayesian model selection and gener
 ative embedding) to generate probabilistic predictions about clinical outc
 ome and treatment responses in individual patients.  This presentation out
 lines the theoretical foundations of this framework and illustrates its po
 tential by initial examples from clinical and pharmacological studies.
LOCATION:Sir William Hardy Building on Downing Site
END:VEVENT
END:VCALENDAR