000905211 001__ 905211
000905211 005__ 20220131120449.0
000905211 037__ $$aFZJ-2022-00494
000905211 041__ $$aEnglish
000905211 1001_ $$0P:(DE-Juel1)131880$$aPopovych, Oleksandr$$b0$$eCorresponding author$$ufzj
000905211 1112_ $$aVSR Seminar, Jülich Supercomputing Centre (JSC),  Forschungszentrum Jülich$$cJülich$$wGermany
000905211 245__ $$aOptimizing Current Imaging Pipelines by Whole-Brain Dynamical Models$$f2021-04-28 - 
000905211 260__ $$c2021
000905211 3367_ $$033$$2EndNote$$aConference Paper
000905211 3367_ $$2DataCite$$aOther
000905211 3367_ $$2BibTeX$$aINPROCEEDINGS
000905211 3367_ $$2ORCID$$aLECTURE_SPEECH
000905211 3367_ $$0PUB:(DE-HGF)31$$2PUB:(DE-HGF)$$aTalk (non-conference)$$btalk$$mtalk$$s1642768069_3620$$xInvited
000905211 3367_ $$2DINI$$aOther
000905211 520__ $$aInvestigation of the resting-state brain dynamics involves mathematical modeling of brain activity by whole-brain dynamical models. The structural and functionalbrain connectomes extracted from the neuroimaging data are essentially employed for the model derivation and validation. At this the brain is represented as afunctional network of brain regions defined by a brain atlas (or brain parcellation), while edges represent the structural or functional connectivity among them.There is however no consensus and golden standard for the approaches and parameters of the neuroimaging data processing, which in most cases remain at the levelof best practice. In this project we investigate how such parameters of the data processing can influence the modeling results. In particular, we considered severalbrain parcellations and densities of the whole-brain tractography to evaluate the inter-subject and inter-parcellation variability of the model fitting and itsdependence on a few indices calculated from empirical data. Such data indices can be used to accounting for the variation of the modeling results across simulationconditions and individual subjects, which can help to find optimal data processing and mechanisms for improved personalized modeling of the resting-state braindynamics.
000905211 536__ $$0G:(DE-HGF)POF4-5232$$a5232 - Computational Principles (POF4-523)$$cPOF4-523$$fPOF IV$$x0
000905211 536__ $$0G:(DE-HGF)POF4-5231$$a5231 - Neuroscientific Foundations (POF4-523)$$cPOF4-523$$fPOF IV$$x1
000905211 536__ $$0G:(DE-HGF)POF4-5254$$a5254 - Neuroscientific Data Analytics and AI (POF4-525)$$cPOF4-525$$fPOF IV$$x2
000905211 536__ $$0G:(EU-Grant)785907$$aHBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907)$$c785907$$fH2020-SGA-FETFLAG-HBP-2017$$x3
000905211 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x4
000905211 536__ $$0G:(EU-Grant)826421$$aVirtualBrainCloud - Personalized Recommendations for Neurodegenerative Disease (826421)$$c826421$$fH2020-SC1-DTH-2018-1$$x5
000905211 65027 $$0V:(DE-MLZ)SciArea-250$$2V:(DE-HGF)$$aOthers$$x0
000905211 65027 $$0V:(DE-MLZ)SciArea-190$$2V:(DE-HGF)$$aMedicine$$x1
000905211 65017 $$0V:(DE-MLZ)GC-130-2016$$2V:(DE-HGF)$$aHealth and Life$$x0
000905211 8564_ $$uhttps://www.fz-juelich.de/SharedDocs/Termine/IAS/JSC/DE/Events/2021/vsr-seminar-2021-04.html?nn=2684364
000905211 909CO $$ooai:juser.fz-juelich.de:905211$$pec_fundedresources$$pVDB$$popenaire
000905211 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131880$$aForschungszentrum Jülich$$b0$$kFZJ
000905211 9131_ $$0G:(DE-HGF)POF4-523$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5232$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vNeuromorphic Computing and Network Dynamics$$x0
000905211 9131_ $$0G:(DE-HGF)POF4-523$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5231$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vNeuromorphic Computing and Network Dynamics$$x1
000905211 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)POF4-5254$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vDecoding Brain Organization and Dysfunction$$x2
000905211 9141_ $$y2021
000905211 920__ $$lyes
000905211 9201_ $$0I:(DE-Juel1)INM-7-20090406$$kINM-7$$lGehirn & Verhalten$$x0
000905211 980__ $$atalk
000905211 980__ $$aVDB
000905211 980__ $$aI:(DE-Juel1)INM-7-20090406
000905211 980__ $$aUNRESTRICTED