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UID:20251007T074927EDT-7389mCnt7u@132.216.98.100
DTSTAMP:20251007T114927Z
DESCRIPTION:Am I My Connectome? Fingerprinting With Repeated Resting State 
 Functional MRI Data\n\nIn the context of resting state functional MRI (rs-
 fMRI)\, fingerprinting is the practice of matching a set of subjects to th
 emselves using only rs-fMRI correlations. The quality of the matching is t
 hen validated using the subjects' IDs. A statistical inference on this mat
 ching is often performed using permutation tests. We discuss many aspects 
 of this process in this talk. First\, we discuss desired invariances in th
 e matching process and distance metric. Secondly\, we discuss matching sta
 tistics and strategies and the resulting null distributions they induce. T
 hirdly\, we discuss variations on the null hypothesis\, which is typically
  left unspecified despite the calculation of a permutation based null dist
 ribution. We discuss these topics in the context of the rich history of th
 is problem\, spanning over two centuries from Montmort's matching problem.
 \n
DTSTART:20170117T203000Z
DTEND:20170117T213000Z
LOCATION:Purvis Hall\, CA\, QC\, Montreal\, H3A 1A2\, 1020 avenue des Pins 
 Ouest
SUMMARY:Brian Caffo\, PhD\, Johns Hopkins\, Bloomberg School of Public Heal
 th
URL:/mathstat/channels/event/brian-caffo-phd-johns-hop
 kins-bloomberg-school-public-health-265099
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