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SUMMARY:Big data solutions to mapping typical and atypical development - R
 ichard Bethlehem\, ARC
DTSTART:20210222T123000Z
DTEND:20210222T140000Z
UID:TALK157630@talks.cam.ac.uk
CONTACT:63079
DESCRIPTION:Over the past 25 years\, neuroimaging has become a pervasive t
 ool in basic and clinical studies of the human brain around the world. How
 ever\, despite the millions of people scanned during this era\, we still l
 ag far behind the potential for robust bench to bedside translation from t
 his ubiquitous technology. Moreover\, the sensitivity of neuroimaging data
  to normative biological variation in age\, sex\, and demography\, as well
  as technological variation in platform and methodology\, provides additio
 nal complexity for generating accurate\, replicable\, and generalizable ne
 urobiological signatures across the myriad brain-related diseases. Definin
 g normative lifespan population variation (“growth charts”) is critica
 l for both scientific assessment and technical advancement of this framewo
 rk\, and is an essential step in maximizing the potential for clinical tra
 nslation and individualized medicine. In my talk I will discuss recent wor
 k and challenges in aggregating across multiple large neuroimaging dataset
 s to form these growth charts as well as modelling frameworks that may all
 ow individualised assessment based on these charts.
LOCATION:Zoom (contact mri.admin@mrc-cbu.cam.ac.uk for attendance details)
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