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SUMMARY:A generative n​etwork model of neurodevelopment - Dr Danyal Akar
 ca\, MRC CBU
DTSTART:20210224T160000Z
DTEND:20210224T170000Z
UID:TALK157651@talks.cam.ac.uk
CONTACT:Katharina Zuhlsdorff
DESCRIPTION:The emergence of large-scale brain networks\, and their contin
 ual refinement\, represent crucial developmental processes that can drive 
 individual differences in cognition and which are associated with multiple
  neurodevelopmental conditions. But how does this organization arise\, and
  what mechanisms govern the diversity of these developmental processes? Th
 ere are many existing descriptive theories\, but to date none are computat
 ionally formalized. We provide a mathematical framework that specifies the
  growth of a brain network over developmental time. Within this framework 
 macroscopic brain organization\, complete with spatial embedding of its or
 ganization\, is an emergent property of a generative wiring equation that 
 optimizes its connectivity by renegotiating its biological costs and topol
 ogical values continuously over development. The rules that govern these i
 terative wiring properties are controlled by a set of tightly framed param
 eters\, with subtle differences in these parameters steering network growt
 h towards different neurodiverse outcomes. Regional expression of genes as
 sociated with the developmental simulations converge on biological process
 es and cellular components predominantly involved in synaptic signaling\, 
 neuronal projection\, catabolic intracellular processes and protein transp
 ort. Together\, this provides a unifying computational framework for conce
 ptualizing the mechanisms and diversity of childhood brain development\, c
 apable of integrating different levels of analysis – from genes to cogni
 tion. (Pre-print: https://www.biorxiv.org/content/10.1101/2020.08.13.24939
 1v1)
LOCATION:Zoom
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