001     1006861
005     20230420201824.0
037 _ _ |a FZJ-2023-01903
100 1 _ |a Eickhoff, Simon
|0 P:(DE-Juel1)131678
|b 0
|u fzj
111 2 _ |a Colloquium Max Planck School of Cognition
|d 2023-04-17 - 2023-04-17
|w online event
245 _ _ |a Technical, conceptual and practical considerations on neuroimaging-based prediction of cognitive phenotypes
260 _ _ |c 2023
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a Other
|2 DataCite
336 7 _ |a INPROCEEDINGS
|2 BibTeX
336 7 _ |a LECTURE_SPEECH
|2 ORCID
336 7 _ |a Talk (non-conference)
|b talk
|m talk
|0 PUB:(DE-HGF)31
|s 1681976549_22743
|2 PUB:(DE-HGF)
|x Invited
336 7 _ |a Other
|2 DINI
520 _ _ |a The long predominant paradigm in neuroimaging has been to compare (mean) local volumeor activity between groups, or to correlate these to behavioral phenotypes. Over the lastdecades, the increasing availability of large cohorts and tools for multivariate statisticallearning, allowing the prediction of individual cognitive or clinical phenotypes in newsubjects, started a revolution in imaging neuroscience. While the field has enjoyed a lot ofenthusiasm recently, with medical and non-medical applications on the horizon, the roadtowards translation and re-life applications may be considerably more challenging thanoften acknowledged. Following a short overview on the motivation and perspectives, themajor part of my talk will be focus on several critical yet often underappreciated challengesfor such endeavors. These include on the one hand technical and biological aspects thatmay undermine the validity of prediction results, in particular due to the inherent low-dimensional structure of biological variability. On the other hand, ethical, legal and societalaspects will ultimately will shape practical adaptation but need stronger consideration in thedevelopment of new pipelines if these are to move beyond proof-of-concept work.
536 _ _ |a 5253 - Neuroimaging (POF4-525)
|0 G:(DE-HGF)POF4-5253
|c POF4-525
|f POF IV
|x 0
909 C O |o oai:juser.fz-juelich.de:1006861
|p VDB
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)131678
910 1 _ |a HHU Düsseldorf
|0 I:(DE-HGF)0
|b 0
|6 P:(DE-Juel1)131678
913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
|1 G:(DE-HGF)POF4-520
|0 G:(DE-HGF)POF4-525
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Decoding Brain Organization and Dysfunction
|9 G:(DE-HGF)POF4-5253
|x 0
914 1 _ |y 2023
920 1 _ |0 I:(DE-Juel1)INM-7-20090406
|k INM-7
|l Gehirn & Verhalten
|x 0
980 _ _ |a talk
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)INM-7-20090406
980 _ _ |a UNRESTRICTED


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