001028723 001__ 1028723
001028723 005__ 20240716202039.0
001028723 037__ $$aFZJ-2024-04780
001028723 1001_ $$0P:(DE-Juel1)131678$$aEickhoff, Simon$$b0$$ufzj
001028723 1112_ $$aOrganization for Human Brain Mapping (OHBM) Annual Meeting 2024$$cSeoul$$d2024-06-23 - 2024-06-27$$wSouth Korea
001028723 245__ $$aConfounders and caveats in connectivity research and brain-based predictions
001028723 260__ $$c2024
001028723 3367_ $$033$$2EndNote$$aConference Paper
001028723 3367_ $$2DataCite$$aOther
001028723 3367_ $$2BibTeX$$aINPROCEEDINGS
001028723 3367_ $$2DRIVER$$aconferenceObject
001028723 3367_ $$2ORCID$$aLECTURE_SPEECH
001028723 3367_ $$0PUB:(DE-HGF)6$$2PUB:(DE-HGF)$$aConference Presentation$$bconf$$mconf$$s1721114039_10766$$xInvited
001028723 520__ $$aIn-vivo analyses of structural, functional, and more recently molecular connectivity in the human brain as well as their changes in patients with neurological or psychiatric disorders have opened new avenues for understanding large-scale integration in the human brain and its dysfunction. Moreover, combined with machine-learning methods for predicting individual phenotypes from such data, they open the possibility for inference on unobserved traits in single-subjects. While the perspectives of these approaches for clinical and neuropsychological assessment are substantial, the major part of this talk will be focused on several critical yet often underappreciated challenges for such endeavours. These include on the one hand technical and biological aspects that may 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 societal aspects will ultimately shape practical adaptation but need stronger consideration in the development of new pipelines if these are to move beyond proof-of-concept work.
001028723 536__ $$0G:(DE-HGF)POF4-5251$$a5251 - Multilevel Brain Organization and Variability (POF4-525)$$cPOF4-525$$fPOF IV$$x0
001028723 909CO $$ooai:juser.fz-juelich.de:1028723$$pVDB
001028723 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131678$$aForschungszentrum Jülich$$b0$$kFZJ
001028723 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)POF4-5251$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vDecoding Brain Organization and Dysfunction$$x0
001028723 9141_ $$y2024
001028723 9201_ $$0I:(DE-Juel1)INM-7-20090406$$kINM-7$$lGehirn & Verhalten$$x0
001028723 980__ $$aconf
001028723 980__ $$aVDB
001028723 980__ $$aI:(DE-Juel1)INM-7-20090406
001028723 980__ $$aUNRESTRICTED