001030939 001__ 1030939
001030939 005__ 20250912110135.0
001030939 0247_ $$2doi$$a10.1162/imag_a_00295
001030939 0247_ $$2datacite_doi$$a10.34734/FZJ-2024-05530
001030939 0247_ $$2pmid$$a40800313
001030939 0247_ $$2WOS$$aWOS:001529784400032
001030939 037__ $$aFZJ-2024-05530
001030939 082__ $$a050
001030939 1001_ $$0P:(DE-Juel1)185960$$aGell, Martin$$b0$$eCorresponding author
001030939 245__ $$aCharting the brain networks of impulsivity: Meta-analytic synthesis, functional connectivity modelling and neurotransmitter associations
001030939 260__ $$aCambridge, MA$$bMIT Press$$c2024
001030939 3367_ $$2DRIVER$$aarticle
001030939 3367_ $$2DataCite$$aOutput Types/Journal article
001030939 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1737100754_4957
001030939 3367_ $$2BibTeX$$aARTICLE
001030939 3367_ $$2ORCID$$aJOURNAL_ARTICLE
001030939 3367_ $$00$$2EndNote$$aJournal Article
001030939 500__ $$aThis study was supported by the Deutsche Forschungsgemeinschaft (DFG, GermanResearch Foundation) – 269953372/GRK2150; 69953372/GRK2150, EI816/11-1; and431549029/SFB1451, Jülich-Aachen Research Alliance (JARA), the National Institute ofMental Health (R01-MH074457), the Helmholtz Portfolio Theme "Supercomputing andModeling for the Human Brain“, and the European Union’s Horizon 2020 Research andInnovation Programme under Grant Agreement No. 945539 (HBP SGA3)
001030939 520__ $$aImpulsivity is a multidimensional construct that plays a crucial role in human behaviour and is believed to be a transdiagnostic marker of several psychiatric disorders. However, given its multifaceted nature, investigations of its neural correlates are challenging and systematic comparisons across dimensions are lacking. In this study, we used a comprehensive multi-modal approach to investigate the functional network organisation of two dimensions in which impulsivity manifests: decision-making and response inhibition. ALE meta-analyses of task-based fMRI studies within each dimension identified two distinct and non-overlapping functional systems. One located in the default-mode network, associated with value-based judgments and goal-directed decision-making, and the other distributed across higher-order networks associated with cognitive control. Resting-state functional connectivity revealed the two systems were organised into four specialised communities of default-mode, cingulo-insular, frontoparietal, and temporal regions. Finally, given the widespread use of neurotransmitter-acting medication to treat conditions with impulsive symptoms, we investigated the association between this organisation and neurochemistry and found that integration across communities was associated with PET-derived serotonin receptor density. Our findings reinforce insights from previous behavioural research and provide substantial evidence for the multidimensional nature of impulsivity on the neural level. This highlights the necessity for a comprehensive dimensional ontology on all levels of investigation to address impulsivity in a transdiagnostic manner.
001030939 536__ $$0G:(DE-HGF)POF4-5251$$a5251 - Multilevel Brain Organization and Variability (POF4-525)$$cPOF4-525$$fPOF IV$$x0
001030939 536__ $$0G:(DE-Juel1)JL SMHB-2021-2027$$aJL SMHB - Joint Lab Supercomputing and Modeling for the Human Brain (JL SMHB-2021-2027)$$cJL SMHB-2021-2027$$x1
001030939 588__ $$aDataset connected to DataCite
001030939 7001_ $$0P:(DE-Juel1)131693$$aLangner, Robert$$b1
001030939 7001_ $$0P:(DE-Juel1)180212$$aKüppers, Vincent$$b2
001030939 7001_ $$0P:(DE-Juel1)131855$$aCieslik, Edna C.$$b3
001030939 7001_ $$0P:(DE-HGF)0$$aSatterthwaite, Theodore D.$$b4
001030939 7001_ $$0P:(DE-Juel1)131678$$aEickhoff, Simon B.$$b5
001030939 7001_ $$0P:(DE-Juel1)131699$$aMüller, Veronika I.$$b6$$eCorresponding author
001030939 773__ $$0PERI:(DE-600)3167925-0$$a10.1162/imag_a_00295$$p1-22$$tImaging neuroscience$$v2$$x2837-6056$$y2024
001030939 8564_ $$uhttps://juser.fz-juelich.de/record/1030939/files/APC600575233.pdf
001030939 8564_ $$uhttps://juser.fz-juelich.de/record/1030939/files/APC600575233.gif?subformat=icon$$xicon
001030939 8564_ $$uhttps://juser.fz-juelich.de/record/1030939/files/APC600575233.jpg?subformat=icon-1440$$xicon-1440
001030939 8564_ $$uhttps://juser.fz-juelich.de/record/1030939/files/APC600575233.jpg?subformat=icon-180$$xicon-180
001030939 8564_ $$uhttps://juser.fz-juelich.de/record/1030939/files/APC600575233.jpg?subformat=icon-640$$xicon-640
001030939 8564_ $$uhttps://juser.fz-juelich.de/record/1030939/files/imag_a_00295.pdf$$yOpenAccess
001030939 8767_ $$8APC600575233$$92024-09-16$$a1200206969$$d2024-09-24$$eAPC$$jZahlung erfolgt$$z1.600 USD
001030939 909CO $$ooai:juser.fz-juelich.de:1030939$$pdnbdelivery$$popenCost$$pVDB$$pdriver$$pOpenAPC$$popen_access$$popenaire
001030939 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)185960$$aForschungszentrum Jülich$$b0$$kFZJ
001030939 9101_ $$0I:(DE-HGF)0$$6P:(DE-Juel1)185960$$a Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, RWTH Aachen $$b0
001030939 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131693$$aForschungszentrum Jülich$$b1$$kFZJ
001030939 9101_ $$0I:(DE-HGF)0$$6P:(DE-Juel1)131693$$a HHU Düsseldorf$$b1
001030939 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)180212$$aForschungszentrum Jülich$$b2$$kFZJ
001030939 9101_ $$0I:(DE-HGF)0$$6P:(DE-Juel1)180212$$a Department of Nuclear Medicine, University Hospital and Medical Faculty, University of Cologne$$b2
001030939 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131855$$aForschungszentrum Jülich$$b3$$kFZJ
001030939 9101_ $$0I:(DE-HGF)0$$6P:(DE-Juel1)131855$$a HHU Düsseldorf$$b3
001030939 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131678$$aForschungszentrum Jülich$$b5$$kFZJ
001030939 9101_ $$0I:(DE-HGF)0$$6P:(DE-Juel1)131678$$a HHU Düsseldorf$$b5
001030939 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131699$$aForschungszentrum Jülich$$b6$$kFZJ
001030939 9101_ $$0I:(DE-HGF)0$$6P:(DE-Juel1)131699$$a HHU Düsseldorf$$b6
001030939 9131_ $$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
001030939 9141_ $$y2024
001030939 915pc $$0PC:(DE-HGF)0000$$2APC$$aAPC keys set
001030939 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
001030939 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
001030939 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2025-01-02
001030939 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2024-09-26T09:40:26Z
001030939 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2024-09-26T09:40:26Z
001030939 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Anonymous peer review$$d2024-09-26T09:40:26Z
001030939 920__ $$lyes
001030939 9201_ $$0I:(DE-Juel1)INM-7-20090406$$kINM-7$$lGehirn & Verhalten$$x0
001030939 980__ $$ajournal
001030939 980__ $$aVDB
001030939 980__ $$aUNRESTRICTED
001030939 980__ $$aI:(DE-Juel1)INM-7-20090406
001030939 980__ $$aAPC
001030939 9801_ $$aAPC
001030939 9801_ $$aFullTexts