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SUMMARY:The importance of being balanced: Short and long range correlation
 s in resting state. - Gustavo Deco\, Universitat Pompeu Fabra\, Barcelona\
 , Spain
DTSTART:20130326T110000Z
DTEND:20130326T120000Z
UID:TALK43499@talks.cam.ac.uk
CONTACT:Mikail Rubinov
DESCRIPTION:The observation that there are relatively consistent distribut
 ed patterns of activity during rest has lead to the suggestion that it mig
 ht be possible to characterize network dynamics without needing an explici
 t task to drive brain activity. This possibility has been explored in stud
 ies of resting-state networks (RSNs). Resting state dynamics is mainly cha
 racterized by the resting functional connectivity matrix that reflects lon
 g-range correlations between different brain areas even under no task\, no
  stimulation conditions. Nevertheless\, on the other hand\, many neurophys
 iological studies demonstrate that at the single brain area level the acti
 vity is largely uncorrelated. Traditional network models ignore this fact\
 , so in this talk I will discuss the effect of constraining the emergence 
 of resting long-range correlations by maintaining the local level uncorrel
 ated. This can achieved by requiring that the local dynamics of each singl
 e area is balanced\, i.e. the amount of local excitatory and inhibitory cu
 rrents are equilibrated. We show that under this constraint\, the dynamica
 l working region required for the generation of resting state activity is 
 much broader and thus robust if the network is accordingly balanced. We de
 monstrate this effect by large-scale simulation based on DTI/DSI extracted
  structural anatomical matrices and detailed spiking and synaptic models e
 mulating empirical obtained resting functional BOLD correlations. Further 
 more\, using advanced mean-field techniques we are able to show the same e
 ffect analytically.
LOCATION:MRC CBU lecture theatre\, 15 Chaucer Road
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