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UID:20250805T032648EDT-2057hvhfWU@132.216.98.100
DTSTAMP:20250805T072648Z
DESCRIPTION:ºÚÁϲ»´òìÈ's Seminar Series in Quantitative Life Sciences and Medic
 ine\n	Sponsored by CAMBAM\, QLS\, MiCM and the Ludmer Centre\n	 \n\nTitle: P
 opulation Neuroimaging\n	Speaker: Thomas Nichols\, Oxford University\n	When:
  Tuesday\, January 21\, 12-1pm \n	Where: Montreal Neurological Institute\, 
 deGrandpre Communications Centre\n\nAbstract: Brain imaging studies have t
 raditionally struggled to break into 3-digit sample sizes: e.g.\, a recent
  Functional Magnetic Resonance Imaging (fMRI) meta-analysis of emotion fou
 nd a median sample size of n=13. However\, we now have a growing collectio
 n studies with sample sizes with 4-\, 5- and even 6-digits. Many of these 
 'population neuroimaging' studies are epidemiological in nature\, trying t
 o characterise typical variation in the population to help predict health 
 outcomes across the life span. I will discuss some of the challenges these
  studies present\, in terms of massive computational burden but also in wa
 ys that they expose shortcomings of existing mass univariate techniques. I
  will also discuss how these datasets present intriguing methodological pr
 oblems heretofore absent from neuroimaging statistics. For example\, the '
 null hypothesis fallacy' is how H0 is never strictly true\, and yet with 1
 00\,000 subjects you'll eventually find some effect even if it is meaningl
 ess. This motivates work spatial confidence sets on meaningful effect size
 s (instead of thresholding test statistic images)\, providing intuitive me
 asures of spatial uncertainty.\n
DTSTART:20200121T170000Z
DTEND:20200121T180000Z
LOCATION:deGrandpre Communications Centre\, 3801 rue University\, Montreal\
 , QC\, H3A 2B4\, CA\, Montreal Neurological Institute\, CA\, QC\, Montreal
 \, H3A 2B4\, 3801 rue University
SUMMARY:Population Neuroimaging
URL:/micm/channels/event/population-neuroimaging-30404
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