BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Computational Neuroscience Journal Club - Mahdieh Sadabadi (CBL)
DTSTART:20171114T160000Z
DTEND:20171114T170000Z
UID:TALK95374@talks.cam.ac.uk
CONTACT:Rodrigo Echeveste
DESCRIPTION:Mahdieh Sadabadi will cover:\n\n• Controllability of structu
 ral brain networks\n\n• Shi Gu et al.\n\n• Nature Communications (Apri
 l 2015)\n\n• https://www.nature.com/articles/ncomms9414\n\nAbstract: Cog
 nitive function is driven by dynamic interactions between large-scale neur
 al circuits or networks\, enabling behaviour. However\, fundamental princi
 ples constraining these dynamic network processes have remained elusive. H
 ere we use tools from control and network theories to offer a mechanistic 
 explanation for how the brain moves between cognitive states drawn from th
 e network organization of white matter microstructure. Our results suggest
  that densely connected areas\, particularly in the default mode system\, 
 facilitate the movement of the brain to many easily reachable states. Weak
 ly connected areas\, particularly in cognitive control systems\, facilitat
 e the movement of the brain to difficult-to-reach states. Areas located on
  the boundary between network communities\, particularly in attentional co
 ntrol systems\, facilitate the integration or segregation of diverse cogni
 tive systems. Our results suggest that structural network differences betw
 een cognitive circuits dictate their distinct roles in controlling traject
 ories of brain network function.
LOCATION:Cambridge University Engineering Department\, CBL\, BE4-38 (http:
 //learning.eng.cam.ac.uk/Public/Directions)
END:VEVENT
END:VCALENDAR