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001006861 005__ 20230420201824.0
001006861 037__ $$aFZJ-2023-01903
001006861 1001_ $$0P:(DE-Juel1)131678$$aEickhoff, Simon$$b0$$ufzj
001006861 1112_ $$aColloquium Max Planck School of Cognition$$d2023-04-17 - 2023-04-17$$wonline event
001006861 245__ $$aTechnical, conceptual and practical considerations on neuroimaging-based prediction of cognitive phenotypes
001006861 260__ $$c2023
001006861 3367_ $$033$$2EndNote$$aConference Paper
001006861 3367_ $$2DataCite$$aOther
001006861 3367_ $$2BibTeX$$aINPROCEEDINGS
001006861 3367_ $$2ORCID$$aLECTURE_SPEECH
001006861 3367_ $$0PUB:(DE-HGF)31$$2PUB:(DE-HGF)$$aTalk (non-conference)$$btalk$$mtalk$$s1681976549_22743$$xInvited
001006861 3367_ $$2DINI$$aOther
001006861 520__ $$aThe long predominant paradigm in neuroimaging has been to compare (mean) local volumeor activity between groups, or to correlate these to behavioral phenotypes. Over the lastdecades, the increasing availability of large cohorts and tools for multivariate statisticallearning, allowing the prediction of individual cognitive or clinical phenotypes in newsubjects, started a revolution in imaging neuroscience. While the field has enjoyed a lot ofenthusiasm recently, with medical and non-medical applications on the horizon, the roadtowards translation and re-life applications may be considerably more challenging thanoften acknowledged. Following a short overview on the motivation and perspectives, themajor part of my talk will be focus on several critical yet often underappreciated challengesfor such endeavors. These include on the one hand technical and biological aspects thatmay undermine the validity of prediction results, in particular due to the inherent low-dimensional structure of biological variability. On the other hand, ethical, legal and societalaspects will ultimately will shape practical adaptation but need stronger consideration in thedevelopment of new pipelines if these are to move beyond proof-of-concept work.
001006861 536__ $$0G:(DE-HGF)POF4-5253$$a5253 - Neuroimaging (POF4-525)$$cPOF4-525$$fPOF IV$$x0
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001006861 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131678$$aForschungszentrum Jülich$$b0$$kFZJ
001006861 9101_ $$0I:(DE-HGF)0$$6P:(DE-Juel1)131678$$a HHU Düsseldorf$$b0
001006861 9131_ $$0G:(DE-HGF)POF4-525$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5253$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vDecoding Brain Organization and Dysfunction$$x0
001006861 9141_ $$y2023
001006861 9201_ $$0I:(DE-Juel1)INM-7-20090406$$kINM-7$$lGehirn & Verhalten$$x0
001006861 980__ $$atalk
001006861 980__ $$aVDB
001006861 980__ $$aI:(DE-Juel1)INM-7-20090406
001006861 980__ $$aUNRESTRICTED