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SUMMARY:Modelling the human brain: Psychometric and neurodevelopmental per
 spectives - Dr Roger Kievit (MRC Cognition and Brain Sciences Unit) &amp\;
  Dr Lizanne Schweren (Department of Psychiatry)
DTSTART:20170208T183000Z
DTEND:20170208T200000Z
UID:TALK70301@talks.cam.ac.uk
CONTACT:Dr Caitlin Hitchcock
DESCRIPTION:Most of psychology and cognitive neuroscience is based on cros
 s-sectional investigations\, that is\, participants are generally measured
  once. A key limitation of cross-sectional data is that associations betwe
 en brain and behaviour may reflect a variety of underlying processes that 
 cannot readily be distinguished. We will discuss two emerging techniques\,
  network analysis and latent change models\, that are instead tailored to 
 the study of change over time.\n \nPsychopathology\, such as depression or
  anxiety\, is traditionally characterized as an underlying illness that ca
 uses symptoms. A novel and rapidly emerging view on psychopathology called
  network analysis focuses on the mutual influences between symptoms. Rathe
 r than “I am sad\, sleep poorly and can’t concentrate because I’m de
 pressed”\, we might say “I slept poorly\, therefore I can’t concentr
 ate\, and that makes me sad\, which causes me to sleep poorly\, etc.”. H
 ere we will explore how changing network parameters may underlie the onset
  of depression in adolescence\, and how they may change again during succe
 ssful psychotherapy treatment.\n \nIn a second talk we will focus on a pow
 erful class of structural equation models known as latent change score (LC
 S). This general modelling approach links longitudinal data to the analyti
 cal strengths of the SEM framework\, which include model testing\, model c
 omparison\, measurement invariance\, and measurement error. We will illust
 rate how these models capture how our cognitive abilities emerge (in adole
 scence and early adulthood) and decline (in old age).\n
LOCATION: Postdoc Centre\, Biomedical Campus\, Bay 13\, Hills Road\, Cambr
 idge CB2 0SP
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