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SUMMARY:Automated neonatal diffusion MRI data processing to study white ma
 tter development
DTSTART:20180116T093000
DTEND:20180116T103000
DTSTAMP:20260407T110049Z
UID:6f4a4c26ef437d124e19f8fa56421d158acf53ca8f114304f7c52647
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr Matteo Bastiani\, University of Oxford\, UK.\nDiffusion MRI
  (dMRI) is a powerful technique to probe brain connections and microstruct
 ure in vivo and non-invasively. However\, given the significant structura
 l changes that occur in the neonatal brain\, it is challenging to build a 
 standardised atlas of white matter connections. In my talk\, I will prese
 nt a fully automated pre-processing pipeline and a quality control (QC) fr
 amework that allow to efficiently analyse in-vivo neonatal data despite th
 e considerable technical challenges specific to neonatal imaging (e.g.\, s
 mall head size\, changing tissue contrast\, excessive between and within v
 olume motion). Extensions to the proposed processing framework will allow 
 to automatically extract reliable structural neurophenotypes that\, when 
 linked to genetics and behaviour\, will improve our understanding on how s
 tructural development influences each individual.  \nBio\nThe central res
 earch interest of Dr Matteo Bastiani is the development and application of
  magnetic resonance methods for neuroimaging to study the structural archi
 tecture of the brain. More specifically\, he has been working on the analy
 sis of data acquired using diffusion-weighted imaging to study the anatomi
 cal connectivity of the brain both non-invasively and in vivo. Such a comb
 ination of methodological aspects with neuroanatomy helps to improve and a
 dvance our understanding of the architectural organization of the human br
 ain in health and disease alike. Diffusion imaging has been successfully i
 ntroduced in both clinical and neuroscientific settings\, to study neurolo
 gical disorders (i.e. acute stroke) as well as the brains connectivity. Si
 nce its first application\, the field related to this technique has experi
 enced an exponential growth in terms of publications and applications. Fur
 thermore\, new techniques are constantly being developed to improve the re
 liability of the way in which we infer the white matter connectivity of th
 e brain. Recent developments have shown that\, by using diffusion imaging\
 , it is possible to infer not just the macroscopic organization of white m
 atter\, but also its microscopic properties such as axonal diameters. This
  can be used once more to improve the models of brain connectivity and the
  early diagnosis of certain neurological diseases. The main goal of the re
 search of Dr Bastiani is to combine both the micro and the macroscopic inf
 ormation which can be obtained by diffusion imaging to reconstruct a relia
 ble model of brain’s white matter organization both at its micro and mac
 ro-structural level.\n\n 
LOCATION:Campus biotech H8 144.165 https://plan.epfl.ch/?room=H81144.167
STATUS:CONFIRMED
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