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SUMMARY:Cost-efficiency of complex human brain networks - Prof Ed Bullmore
  (Brain Mapping Unit\, Department of Psychiatry)
DTSTART:20081023T150500Z
DTEND:20081023T153000Z
UID:TALK13260@talks.cam.ac.uk
CONTACT:Duncan Simpson
DESCRIPTION:Graph theoretical analysis can be applied to human neuroimagin
 g data\, such as structural and functional MRI or magnetoencephalography (
 MEG)\, to investigate complex properties of brain structural and functiona
 l networks. Over multiple scales of space and time\, these networks have a
 n economical small-world topology\, characterised by high efficiency of in
 formation transfer for low connection cost\, and critical synchronization 
 dynamics. Greater cost-efficiency of high-frequency functional networks is
  associated with better cognitive performance. Brain networks in neuropsyc
 hiatric disorders\, like schizophrenia and obsessive compulsive disorder\,
  are abnormally configured. In the light of these results\, I will discuss
  possible selection criteria that might have favoured the evolution of hig
 hly cost-efficient brain networks.
LOCATION:Kaetsu Centre\, New Hall
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