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SUMMARY:A Graph Meta-analytical Approach to Compensatory Activations in Sc
 hizophrenia - Nicolas Crossley\, the Institute of Psychiatry\, King's Coll
 ege London
DTSTART:20120131T110000Z
DTEND:20120131T120000Z
UID:TALK37475@talks.cam.ac.uk
CONTACT:Mikail Rubinov
DESCRIPTION:Network analysis of brain imaging data has provided important 
 insights into the global configuration of functional brain networks. This 
 opens up the possibility to study how neural dynamics\, in health and dise
 ase\, are constrained by the brain’s network architecture. In this talk 
 I’ll be presenting an attempt to use this “dynamic network approach”
  to shed light on a widespread phenomenon observed in neuroimaging studies
  of patients with schizophrenia: the appearance of areas of increased acti
 vation relative to controls\, as well as areas of decreased activations. T
 hese hyper-activations are usually interpreted as reflecting the involveme
 nt of compensatory neural mechanisms in an abnormal brain. However\, littl
 e is known about these phenomena.  We propose to test the idea of these hy
 per-activations being a response to these hypo-activations\, thinking of t
 hem as dynamic phenomena that occur in a failing network\, similar to a st
 ation closure in an underground network. Since compensatory activations in
  schizophrenia might be present only during cognitive effort and not durin
 g rest\, I’ll be discussing how we are developing a network analysis of 
 functional neuroimaging meta-data to address this.
LOCATION:Sir William Hardy Building on Downing Site
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