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SUMMARY:Brain charts for the human lifespan - Richard Bethlehem\, Autism R
 esearch Centre & Brain Mapping Unit\, University of Cambridge
DTSTART:20220201T131500Z
DTEND:20220201T141500Z
UID:TALK167168@talks.cam.ac.uk
CONTACT:Mateja Jamnik
DESCRIPTION:"Join us on Zoom":https://zoom.us/j/99166955895?pwd=SzI0M3pMVE
 kvNmw3Q0dqNDVRalZvdz09\n\nOver the past 25 years\, neuroimaging has become
  a ubiquitous tool in basic research and clinical studies of the human bra
 in. However\, no reference standards currently exist to quantify individua
 l differences in neuroimaging metrics over the lifespan\, in contrast to g
 rowth charts for anthropometric traits such as height and weight. Here\, w
 e built an interactive resource (https://www.brainchart.io) to benchmark i
 ndividual differences in brain morphology\, measured from any current or f
 uture magnetic resonance imaging (MRI) study\, against normative age-relat
 ed trends. With the goal of basing these reference charts on the largest a
 nd most inclusive dataset available\, we aggregated 123\,984 MRI scans fro
 m 101\,457 participants in over 100 studies – from 115 days post-concept
 ion through 100 postnatal years. Cerebrum tissue volumes and other global 
 or regional MRI metrics were quantified by centile scores\, relative to no
 n-linear trajectories\, demonstrating concurrent validity with non-MRI bra
 in growth milestones\, high stability over longitudinal assessments\, and 
 robustness to differences between studies. Brain charts identified previou
 sly unreported neurodevelopmental milestones\, and centile scores had incr
 eased heritability compared to non-centiled MRI phenotypes. Crucially\, fo
 r clinical purposes\, centile scores provided a standardised and interpret
 able measure of deviation that revealed new patterns of neuroanatomical di
 fferences across neurological and psychiatric disorders. In sum\, brain ch
 arts for the human lifespan are an essential first step towards robust\, s
 tandardised quantification of deviation from age-related trends in multipl
 e commonly-used neuroimaging phenotypes. Our global collaborative study pr
 ovides such an anchorpoint for neuroimaging research and will facilitate i
 mplementation of quantitative standards in clinical studies.\n\n"Link to p
 aper":https://www.biorxiv.org/content/10.1101/2021.06.08.447489v2
LOCATION:Zoom
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