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SUMMARY:Stephen Payne (National Taiwan University)
DTSTART:20231018T060000Z
DTEND:20231018T070000Z
DTSTAMP:20260423T035821Z
UID:MAC8028/4
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MAC8028/4/">
 Multi-scale\, multi-compartment modelling of the human brain</a>\nby Steph
 en Payne (National Taiwan University) as part of Trends in Mathematical Re
 search\n\nLecture held in NTNU Gongguan S101.\n\nAbstract\nThe increasing 
 rates of cerebrovascular diseases\, such as stroke and dementia\, mean tha
 t understanding cerebral blood flow and its control in both healthy and di
 seased states has become an important clinical problem. However this is ma
 de challenging by the spatial and temporal limitations of human brain imag
 ing and the number of blood vessels involved in a what is a highly complex
  dynamic regulating system over many length scales. In this talk I will di
 scuss the work that we have done to construct models of cerebral blood flo
 w that cover the many length scales involved\, running from a few micromet
 res to a few millimetres. I will show how we have developed such models fr
 om the bottom up\, through highly detailed modelling of the microcirculati
 on and the application of homogenisation and optimisation methods\, in ord
 er to generate a full-brain model of blood flow and oxygen transport. I wi
 ll then talk about how this can be applied (and validated) in pathological
  conditions\, in particular the treatment of acute ischaemic stroke. I wil
 l conclude by discussing how we next plan to use multiple time scales in t
 he context of chronic diseases such as dementia and to quantify the effect
 s of interventions such as sleep and exercise on disease progression.\n
LOCATION:https://researchseminars.org/talk/MAC8028/4/
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